Kathrine Louise Jensen
Søren Brøgger Jensen
Kenneth Lindegaard Madsen- Molecular Neuropharmacology and Genetics Laboratory, Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Psychostimulant use disorder is a major health issue around the world with enormous individual, family-related and societal consequences, yet there are no effective pharmacological treatments available. In this review, a target-based overview of pharmacological treatments toward psychostimulant addiction will be presented. We will go through therapeutic approaches targeting different aspects of psychostimulant addiction with focus on three major areas; 1) drugs targeting signalling, and metabolism of the dopamine system, 2) drugs targeting either AMPA receptors or metabotropic glutamate receptors of the glutamate system and 3) drugs targeting the severe side-effects of quitting long-term psychostimulant use. For each of these major modes of intervention, findings from pre-clinical studies in rodents to clinical trials in humans will be listed, and future perspectives of the different treatment strategies as well as their potential side-effects will be discussed. Pharmaceuticals modulating the dopamine system, such as antipsychotics, DAT-inhibitors, and disulfiram, have shown some promising results. Cognitive enhancers have been found to increase aspects of behavioural control, and drugs targeting the glutamate system such as modulators of metabotropic glutamate receptors and AMPA receptors have provided interesting changes in relapse behaviour. Furthermore, CRF-antagonists directed toward alleviating the symptoms of the withdrawal stage have been examined with interesting resulting changes in behaviour. There are promising results investigating therapeutics for psychostimulant addiction, but further preclinical work and additional human studies with a more stratified patient selection are needed to prove sufficient evidence of efficacy and tolerability.
Introduction
Addiction to psychostimulants is a world-wide health problem causing major societal problems, and still there is no efficient treatment available to cure addiction of these drugs. In 2010 it was estimated that 24.1 million people were dependent on psychostimulant drugs worldwide: 6.9 million people were cocaine-dependent, 17.2 million people were dependent on amphetamines (Degenhardt et al., 2014). Only 8 years later, in 2018, it was estimated that approximately 18.2 million people used cocaine and 34.2 million people used amphetamines (Farrell et al., 2019). Addiction is encompassed by the term substance use disorders and can be defined as a chronic and relapsing neuropsychiatric disorder characterized by drug seeking, high intake of drugs, and cycles of abstinence and relapse (Koob & Volkow, 2016). In the DSM-V, substance use disorder is defined as a chronically relapsing disorder with abuse symptoms such as hazardous use, legal problems, and craving, alongside dependence symptoms including withdrawal, tolerance, and repeated attempts to quit and control use.
Through animal models and brain imaging studies the neurobiology underlying addiction is being mapped, and although complex the progress made in this field of research has helped to increase the knowledge of the neurobiological adaptations driving addiction. Identifying specific changes in neurocircuitry and neuroplasticity have helped the understanding of addiction as a neuropsychiatric brain disease of learning and memory as opposed to the traditional model of self-determination and personal responsibility (Volkow & Koob, 2015; Volkow et al., 2016). Nevertheless, the social and psychological aspects of this disease should not be overlooked and a balanced perspective in addiction treatment is needed (Hall et al., 2015; Lewis, 2018).
Since psychostimulant addiction is a complex disorder, there are multiple aspects of the disease, which would make sense to target with pharmaceuticals. One approach would be to decrease consumption by minimizing the rewarding effects of the psychostimulants, thereby potentially altering the habit formation induced by the drugs. Another approach could be to interfere with the extreme abstinence-induced side-effects, to prevent the compulsive drug-seeking, thereby minimizing the motivational and emotional symptoms. Furthermore, reversing the disruption of executive functions of individuals with addiction disorder should increase an individual’s ability to stop/control drug use thereby preventing relapse behaviour. Relapse and craving might also be halted by interacting with the neurocircuits known to be involved in drug-, cue-, stress-, and context-induced reinstatement, thereby introducing an anti-craving state. During this review, we will touch upon drugs targeting all these aspects.
Due to the known aetiology of psychostimulant addiction, and decent construct and face validity of preclinical models, these are a great asset to reveal new pharmacotherapeutic strategies of this disorder specifically (Everitt et al., 2018). Therefore, our review includes both preclinical and clinical studies. There are obvious limitations of translating findings in rodents to the human condition, both due to species differences in general, but probably more importantly due to the complexity of the social aspects of addiction in humans as well as greater homogeneity of the human condition. However, instead of compromising the use of all preclinical setups, this highlights the need to distinguish between the different types of preclinical studies when searching for new pharmacological treatment strategies of humans, since the different types of preclinical studies, model different stages of the human condition. Overall, preclinical studies of addiction can be divided into two groups investigating either the acute rewarding aspects of psychostimulants, or the aspects of repeated exposure and relapse. We have included both types of preclinical studies in this review since both are relevant for different reasons. Pharmaceuticals targeting the direct effects of the psychostimulants might eventually lead to less consumption of them through decreased reward signalling. Preclinical studies with pharmaceuticals altering the outcome of repeated exposure or relapse of psychostimulants are relevant for the clinical aspects of withdrawal and relapse of humans suffering from psychostimulant addiction and involve animal models such as conditioned place preference, self-administration, reinstatement experiments, and behavioural sensitization (Spanagel, 2017). In recent years, more thoughts on improving preclinical research of addiction and relapse by reverse-translating successful clinical research to develop further on the existing preclinical models to test new drugs against existing ones have emerged (Venniro et al., 2020). Another interesting approach is to introduce more complexity to the pre-clinical models already in use, by for instance adding environmental differences in the setup to manipulate the vulnerability of increased drug intake of the test subjects (Fouyssac et al., 2021).
Even though the focus of this review is pharmacological treatment of psychostimulant addiction, other strategies to treat psychostimulant addiction, such as transcranial magnetic stimulation [for review see (Diana et al., 2017)], deep brain stimulation [for review see (Bina & Langevin, 2018)], psychosocial interventions (contingency management) [for review see (De Crescenzo et al., 2018)] and post-retrieval extinction paradigms [for review see (Walsh et al., 2018)] should not be overlooked.
Targeting the dopamine system
Due to the role of dopamine in adaptive motivated behaviour, it makes sense that agonistic drugs of dopamine signalling would be highly addictive (Yuan et al., 2019). To properly understand the destructive nature of psychostimulant addiction, the understanding of the role dopamine plays on locomotion and normal reward related behaviour is essential. Natural rewards, like food and sex, lead to elevated dopamine in nucleus accumbens. Dopamine signalling is linked to both positive and negative reinforcements associated with reward-associated behaviour. The ability to make a cue-association to natural rewards is essential for survival, since evolutionarily it is important in order to both reproduce and obtain nutrients etc., (Schultz, 2006).
By directly blocking the effect of the psychostimulants themselves, decreased reward-signalling upon psychostimulant administration might eventually lead to decreased drug use. Furthermore, diminished dopamine-associated craving and tendency to relapse (Heidbreder, 2005) along with changes in frontal dopamine transmission affecting the compulsive drug intake and inhibitory control could improve treatment outcomes (Brunetti et al., 2012). However, it is important to keep in mind that any pharmaceutical affecting the acute rewarding aspects of psychostimulants might also affect the natural reward system of the brain. The experiences from treating opioid addiction with opioid receptor antagonists (i.e., naltrexone), agonists (i.e., methadone), and partial agonists (i.e., buprenorphine) have encouraged the same strategies to be approached in psychostimulant addiction (Bergman, 2008).
In this review, different approaches to targeting the dopamine system will be put forth: inhibition of the dopamine transporter with dopamine transporter (DAT) inhibitors, indirectly influencing dopamine release with psychostimulants or disulfiram, and manipulating dopamine receptors with antipsychotics or specifically targeting the D2- or D3-receptors. The results from preclinical studies examining changes in rewarding properties of psychostimulants and the preliminary results from clinical trials will be emphasized. The equivalent of decreasing rewarding properties of a drug in an animal model of addiction would be decreased self-administration, reduced conditioning (for instance in a conditioned place preference paradigm) and changes in reward threshold. In human laboratory studies, mainly changes in self-administration and impulsivity would indicate altered rewarding drug-effects (Koob et al., 2009).
Dopamine transporter ligands and inhibitors
The dopamine transporter is of vital importance in dopamine signalling with the responsibility of clearing released dopamine from the synaptic clefts. The dopamine transporter is localized presynaptically, and following reuptake, dopamine gets packed into vesicles by the vesicle monoamine transporter (vMAT2) ready to be released again. Both cocaine and amphetamine exert their actions directly on the dopamine transporter, and therefore multiple pharmaceuticals targeting the dopamine transporter directly have been tested as a way of treating psychostimulant addiction. These pharmaceuticals are thought to function as maintenance therapy and as stabilizers of desensitized dopamine transmission during withdrawal (Jupp & Lawrence, 2010). Both DAT ligands and so-called atypical DAT-inhibitors have been investigated, and especially the atypical inhibitors seem promising, as they inhibit the DAT transporter with high affinity without leading to cocaine-like effects/symptoms (i.e., self-administration) (Reith et al., 2015). Atypical DAT inhibitors bind the transporter with characteristics differing from cocaine. For instance, the benztropine analogues bind to DAT in a manner that is distinct from that of cocaine (Schmitt et al., 2008). Uncovering the exact mechanism of action of the atypical DAT inhibitors might provide novel pharmaceutical targets, with the ability to minimize addiction symptoms, without having addictive properties themselves (Reith et al., 2015).
We will go through the most promising DAT ligands and inhibitors below. A few DAT inhibitors have already been through several clinical trials for treatment of methamphetamine addiction, some of which will be mentioned below.
Amphetamine and derivatives thereof
Inspired by the efficacy of agonist-based treatment of nicotine and opioid use disorders, several amphetamines have been investigated as potential maintenance treatment for cocaine use disorder [for reviews see (Howell & Negus, 2014; Negus & Henningfield, 2015)]. Amphetamine and long-acting mixed amphetamine salts have been thoroughly investigated and have shown a potential to decrease self-administration of cocaine in both rats (Chiodo et al., 2008), nonhuman primates (Negus & Mello, 2003) and humans in both a preclinical laboratory setting (Rush et al., 2010) and in clinical trials (Grabowski et al., 2001). It is believed that amphetamine (and other dopamine releasers) will only be effective to treat abuse of dopamine uptake inhibitors (like cocaine) and not be effective against other dopamine releasers, since clinical trials with amphetamine maintenance have so far failed to treat methamphetamine use disorder (Longo et al., 2010; Galloway et al., 2011; Pike et al., 2014). The great abuse liability of amphetamine and its derivatives warrant concern in relation to approval of this strategy for treatment (Negus & Henningfield, 2015), but the amount of successful human trials with long-acting amphetamine (Grabowski et al., 2001; Grabowski et al., 2004; Nuijten et al., 2016) highlights the potential of targeting the dopamine transporter as a viable target for future treatments.
Bupropion
Bupropion, an atypical antidepressant, has been proposed as a DAT ligand-based treatment of psychostimulant addiction and tested for psychostimulant addiction in several clinical trials. Bupropion inhibits both DAT and NET, but has no SERT activity (Stahl et al., 2004). Interestingly, bupropion has no appreciable affinity for postsynaptic receptors of neither histamine, dopamine, acetylcholine or epinephrine (Stahl et al., 2004). Bupropion has been found to decrease both acquisition (Reichel et al., 2008) and maintenance of methamphetamine self-administration in rats (Reichel et al., 2009). In addition, bupropion has been found to attenuate drug-induced reinstatement of methamphetamine seeking in rats, thus implying efficacy in relapse as well (Charntikov et al., 2018). However, since bupropion is thought to manipulate the reward system, the therapeutic has also been shown to decrease sucrose-seeking, and although not significant the treatment has shown a tendency toward inducing reinstatement of methamphetamine seeking in rats (Charntikov et al., 2018).
In human studies, bupropion has been shown to decrease subjective effects of methamphetamine as well as decrease cue-induced craving (Newton et al., 2006). A double-blind placebo-controlled study found that bupropion in combination with behavioural group therapy decreased methamphetamine intake in male low- to moderate baseline methamphetamine users independently of comorbidity (Elkashef et al., 2008). Another human study revealed that bupropion-treatment reduced the preference for intranasal cocaine over a small monetary reward (Stoops et al., 2012). The importance of proper stratification of test subjects for clinical trials is becoming clear substantiated by a human trial concluding that bupropion-treatment might only work in a very small group of people with methamphetamine addiction characterized by less than daily amphetamine use at the time of treatment (Heinzerling et al., 2014). Indeed, a pilot study on adolescents (age 14-21) concluded that bupropion-treatment did not seem to influence methamphetamine use in adolescents, interestingly showing less success in females than males (Heinzerling et al., 2013). In a recent human study with combination-treatment of oral extended-release bupropion and extended-release injectable naltrexone for treatment of methamphetamine, the bupropion group handed in more methamphetamine-negative urine samples than the placebo group despite of treatment side-effects like tremor, malaise, and hyperhidrosis (Trivedi et al., 2021).
Benztropine analogs
Benztropine analogs constitute a group of atypical DAT inhibitors that have been thoroughly tested in rodents but are yet to go through clinical trials (Jordan et al., 2019a). Benztropine itself does not appear to change the response to cocaine administration in humans (Penetar et al., 2006), but its ability to change cocaine craving has been tested in a clinical trial (ClinicalTrials.gov Identifier: NCT00000333). One of the more studied benztropine analogs is the atypical DAT inhibitor JHW007, which has a slow onset and a long-lasting profile (Ki DAT = 25 nM, Ki NET = 1,330 nM, Ki SERT = 1730 nM) (Desai et al., 2014; Jordan et al., 2019b).
The benztropine analogs AHN1-055, AHN2-005, and JHW007 dose-dependently decrease cocaine and d-methamphetamine self-administration selectively, without affecting self-administration of heroin and ketamine self-administration in rats (Hiranita et al., 2009; Hiranita et al., 2014). Moreover, AHN1-055 and JHW007 have been shown to reduce cocaine-induced locomotion without inducing motor stereotypies. Additionally, they have been shown to dose-dependently block cocaine-induced conditioned place preference, without inducing benztropine analog-induced conditioned place preference on their own (Velazquez-Sanchez et al., 2009; Velazquez-Sanchez et al., 2010). Furthermore, AHN-1055 has also been shown to lead to extinction of cocaine self-administration and reduce drug-induced reinstatement of cocaine seeking in rats (Velazquez-Sanchez et al., 2013). However, the use of benztropine analogs for psychostimulant addiction might not be as straight forward after all, since the ability of JHW007 to reduce methamphetamine self-administration might be because it enhances the reinforcing properties of the drug (Ferragud et al., 2014). Furthermore, JHW007 seems to increase certain aspects of anxiety-like behaviour in the elevated plus maze (Velazquez-Sanchez et al., 2010), which could entail a negative effect in the withdrawal stage.
Modafinil
Modafinil is currently used to treat narcolepsy, shift work sleep disorder and obstructive sleep apnoea. The primary mechanism of modafinil is inhibition of the dopamine transporter (Zolkowska et al., 2009; Andersen et al., 2010). However, modafinil influences both dopamine-, serotonin-, norepinephrine-, GABA-, orexin-, histamine-, and glutamate-systems in the CNS (Minzenberg & Carter, 2008). Therefore, the effects of modafinil on psychostimulant use disorder could be through an increased dopamine transmission as well as by rectifying the glutamate depletion.
Modafinil has been shown to reduce drug-induced reinstatement of cocaine seeking in rats (Mahler et al., 2014). In the same experiment, modafinil increases glutamate levels in the nucleus accumbens during chronic cocaine intake and the effect modafinil has on reinstatement can be inhibited by administration of an mGluR2/3 antagonist (LY-341495), thus supporting that albeit modafinil has broad pharmacodynamic properties, the behavioural results are likely derived from an increase in extrasynaptic glutamate (Mahler et al., 2014). Importantly, some of the additional effects of modafinil might actually prove an advantage in addiction treatment, as a cognitive enhancer (Sofuoglu et al., 2016) and as an atypical DAT inhibitor (Reith et al., 2015).
At the time of writing, 26 clinical trials of testing modafinil as treatment of different aspects of psychostimulant addiction has been performed (19 for cocaine, 8 for amphetamine) with a phase 4 trial for cocaine addiction still recruiting (ClinicalTrials.gov Identifier: NCT00439049). The clinical trials have had varying outcomes. Pre-treatment with modafinil has been shown to blunt cocaine-induced euphoria (Dackis et al., 2003) and decrease self-administration of cocaine in non-treatment seeking frequent cocaine users (Hart et al., 2008). A five-day treatment paradigm with modafinil of non-treatment seeking cocaine-dependent people reduced ratings of the “high” rated from an i.v. injection of cocaine compared to placebo treatment (Verrico et al., 2014). Other studies have shown no, or mixed effect of modafinil on psychostimulant addiction. A couple of hypotheses for the lack of effect in some of these studies have been proposed. One of them is the necessity of adherence to treatment for the modafinil to make a difference (Anderson et al., 2012). Another hypothesis is that modafinil will only work in the absence of specific comorbidities. For instance, post-hoc analysis of one of the bigger clinical trials initially showing no effect of modafinil on cocaine-dependence, showed that there was indeed a significant effect, if the subgroup of patients with comorbid alcohol abuse were removed from the analysis (Anderson et al., 2009). Shortly after that, a second study recruiting cocaine-dependent subjects specifically without alcohol-dependence confirmed the same finding (Kampman et al., 2015).
Isomers of modafinil are of interest too, since both R-modafinil and S-modafinil bind the dopamine transporter and inhibit dopamine uptake with different profiles than cocaine, making them interesting candidates for substitute therapy of psychostimulant use disorders (Loland et al., 2012).
Targeting dopamine receptors
Upon release into the synaptic cleft, dopamine exerts its signalling function by binding to G-protein coupled dopamine receptors (GPCRs), classically divided into the stimulatory D1 class receptors (D1- and D5-receptors) and the inhibitory D2 class receptors (D2-, D3-, and D4-receptors) based on the G-protein coupling and differences in their pharmacological profiles. Differences in expression patterns and G-protein coupling of the dopamine receptors ensure the necessary feedback loops to preserve proper levels of dopamine signalling and both D1- and D2-receptors are necessary for the reinforcing effect of drugs of abuse (Woolverton et al., 1984; Self & Stein, 1992; Weed & Woolverton, 1995; Ranaldi et al., 2001; Volkow et al., 2002).
Antipsychotics targeting D2-receptors
Antipsychotics can be divided into typical antipsychotics (e.g., haloperidol) and atypical antipsychotics (e.g., clozapine). Antipsychotics are used to treat mental disorders such as schizophrenia and bipolar disorder, both of which show significant comorbidity with substance use disorder (Brown et al., 2003; Hanley & Kenna, 2008). Rodent studies have shown that the typical antipsychotics lead to increased cocaine self-administration, and humans treated with typical antipsychotics, while suffering from cocaine addiction, have been reported to receive higher doses of the antipsychotics than their none cocaine-addicted counterparts (Seibyl et al., 1993; Brown et al., 2003). However, to varying degrees, the atypical antipsychotics show a more promising mechanism in relation to treating cocaine use disorder than their typical counterparts, and some of these atypical antipsychotics, (e.g., the partial agonist aripiprazole and the antagonist quetiapine), have been investigated as potential therapeutics in animal models as well as humans with varying success.
Quetiapine
Quetiapine is a weak antagonist of the D2-receptor and a strong antagonist of the 5-HT2A-receptor. Additionally, it has antagonistic properties towards H1-, α1- and 2-, 5-HT1A-, and 5-HT3A-receptors (Rowe, 2007). Quetiapine is effectively used to treat schizophrenia and bipolar disorder (Hanley & Kenna, 2008). Initial research of quetiapine as a treatment option for psychostimulant addiction derives from reports of patients treated with an antipsychotic for a mental illness while dependent on cocaine and/or amphetamine reporting reductions in psychostimulant use (Brown et al., 2002; Brown et al., 2003; Hanley & Kenna, 2008). In rats, quetiapine has been shown to prevent cocaine-induced enhancement of brain-stimulated reward (Gallo et al., 2010). In a self-administration study on adult rhesus monkeys, acute quetiapine decreased cocaine choice in 4 out of 7 monkeys, but tolerance for quetiapine developed within 14–16 days diminishing the relevance of quetiapine as a monotherapy of cocaine use disorder (Brutcher & Nader, 2015). Furthermore, quetiapine failed to decrease self-reported cocaine use, drug-urine concentrations, self-reported money spent on cocaine and cocaine craving in a randomized, double-blinded, placebo-controlled study of 60 cocaine users compared to placebo (Tapp et al., 2015) and quetiapine has been shown to worsen anhedonia during methamphetamine-withdrawal in rats (Zhornitsky et al., 2010). Finally, emerging reports on quetiapine abuse is a valid concern for the clinical use of quetiapine (Hanley and Kenna, 2008).
Aripiprazole
Aripiprazole is a partial agonist of the D2- and 5-HT1A-receptors, and an antagonist of the 5-HT2A-receptor. Furthermore, it has affinity for D3-, D4-, 5-HT2C-, 5-HT7, α1-adrenergic-, and histaminergic-receptors and the 5-HT reuptake site along with an anti-inflammatory effect via inhibition of microglial activation (Brunetti et al., 2012). In rats, aripiprazole has been shown to decrease self-administration of methamphetamine in a progressive-ratio as well as a fixed-ratio schedule, and this was seen for rats with short as well as long access to methamphetamine (Wee et al., 2007). In humans, aripiprazole has been shown to attenuate some of the positive subjective effects of amphetamines but without affecting their drug-discriminative performance (Stoops et al., 2006). In another human study, long-term aripiprazole administration was found to increase the use of smoked cocaine in humans, possibly to circumvent the blunted effect of the drug, which would indicate that using aripiprazole to treat individuals with cocaine addiction that are still administering cocaine will be unsuccessful (Haney et al., 2011). However, rat-studies have shown that both acute and chronic aripiprazole decrease cue- and cocaine-induced reinstatement (Feltenstein et al., 2007; Feltenstein et al., 2009). The exact mechanism of action resulting in this behavioural change is still largely unknown and because of the broad pharmacodynamics of aripiprazole both D2-antagonism, 5-HT1A receptor-interaction and regulation of glutamatergic transmission in the prefrontal cortex have been proposed (Feltenstein et al., 2009). In 2013, two human studies were published testing the possibility of treating methamphetamine addiction with aripiprazole (Coffin et al., 2013; Sulaiman et al., 2013). One of the studies concluded that aripiprazole did not reduce methamphetamine use among actively using dependent adults (Coffin et al., 2013). The other study concluded that while aripiprazole was unable to help maintaining abstinence of the individuals addicted to methamphetamine, it did reduce the severity of psychotic symptoms (Sulaiman et al., 2013).
Clozapine
The atypical antipsychotic clozapine was used for treatment of schizophrenia in Europe for the first time in 1971, but has since had a turbulent history of withdrawal from the market due to fatal side-effects and reoccurrence onto the market as a treatment strategy to reduce recurrent suicidal behaviour of schizophrenia patients and to treat treatment-resistant schizophrenia (Warnez & Alessi-Severini, 2014; Chiappini et al., 2020). In this review, we have chosen to place clozapine as a D2-receptor antagonist, even though the combination of pharmacological effects of clozapine is quite unique interacting with dopamine-, adrenergic-, glutamatergic-, histaminic-, and muscarinic-receptors (Chiappini et al., 2020).
In rats, clozapine has been shown to prevent the cocaine-induced increase in nucleus accumbens dopamine release as well as cocaine-induced hyperlocomotion after acute administration of cocaine (Broderick et al., 2004). In other studies, on both mice and rats, clozapine has been shown to also prevent sensitized hyperlocomotion induced by cocaine (Filip et al., 2003; Cha & Kang, 2014) or amphetamine (Meng et al., 1998). Additionally, clozapine decreases cocaine self-administration in rats (Roberts & Vickers, 1984). In humans, patients with co-occurring schizophrenia and substance use disorders (including cocaine use disorder), on clozapine-treatment, show a significant decrease in relapse of drug abuse at both 6-months, 1-year, and 2-year follow up (Brunette et al., 2006). A comprehensive review on possible withdrawal and abuse issues from clozapine use came out recently, and confirmed that abrupt discontinuation of clozapine can lead to withdrawal symptoms and that high-dose intake of clozapine can lead to severe and fatal consequences thereby solidifying the importance of proper introduction by health care professionals before prescribing the pharmaceutical (Chiappini et al., 2020).
D3-receptor antagonists
D2-receptors are found in all the major brain areas receiving dopaminergic projections, whereas the mRNA of D3-receptors is mainly found in telencephalic areas receiving inputs from the A10 cell group (Bouthenet et al., 1991). The more restricted localization of D3-receptors compared to D2-receptors has made them a focus of interest for addiction treatment (Le Foll et al., 2014). Human PET studies have revealed an increase in D3-receptor expression in psychostimulant users, encouraging studies into highly specific D3-receptor antagonists (Le Foll et al., 2014; Matuskey et al., 2014). In rats, the selective D3-receptor antagonist SB-277011A has been found to dose-dependently attenuate both cocaine-induced conditioned place preference and cocaine-induced reinstatement of cocaine seeking behaviour (Vorel et al., 2002). The same study also showed the ability of SB-277011A to prevent the rewarding effects of cocaine, by blocking enhancement of brain stimulation-induced reward by cocaine in rats signifying the involvement of D3 receptors in the rewarding properties of cocaine (Vorel et al., 2002). In addition, SB-277011A has been found to reduce both cue- and stress-induced reinstatement of cocaine seeking in rats (Xi et al., 2004; Gilbert et al., 2005). Furthermore, SB-277011A has been shown to decrease self-administration of cocaine in low doses, and to lower the breakpoint of cocaine-seeking in a progressive-ratio schedule when the work-demand for reward was increased in rat self-administration studies (Xi et al., 2005). Another selective D3-antagonist, SR21502, has been shown to significantly accelerate extinction of cocaine-seeking in a cocaine-conditioned place preference paradigm without showing any abilities to induce conditioned place preference on its own (Galaj et al., 2016). Several other D3-receptor antagonists have been investigated and have shown promising results, but a potential for cardiovascular side effects e.g., increased blood pressure (Jordan et al., 2019a) along with lack of efficacy in low cost self-administration paradigms (Di Ciano et al., 2003; Xi et al., 2005) have limited further progress of the abovementioned antagonists. These issues have instead incited development of compounds with high affinity and selectivity (e.g., R-VK4-116 and R-VK4-40), which does not give rise to cardiovascular effects (Jordan et al., 2019b), along with investigations into efficacy of partial D3 receptor agonists such as the atypical antipsychotic cariprazine, which have shown to decrease self-administration of cocaine and attenuate cue-induced reinstatement of cocaine seeking in rats (Roman et al., 2013) [for reviews see (Newman et al., 2021; Newman et al., 2022)]. Although the role of D3-receptors in addiction is not yet fully understood, studies targeting these receptors in addiction treatment so far look promising, and it will be interesting to follow the development of this field in years to come.
Dopamine metabolism
Psychostimulants manipulate the dopamine system directly by increasing dopamine levels in the synaptic cleft through targeting of the dopamine transporter. The treatments discussed so far, all target different steps of the direct dopamine signalling but indirect manipulation of the dopamine system has also been investigated for treatment of psychostimulant addiction.
Disulfiram
A way to indirectly manipulate dopamine signalling is by targeting the dopamine metabolism with pharmaceuticals like disulfiram. Disulfiram is a well-known treatment for alcohol-dependence, which is currently being investigated as a potential pharmaceutical for treating cocaine dependence (Charpeaud et al., 2011). Studies have shown that besides its effect on aldehyde dehydrogenase, disulfiram also inhibits dopamine beta-hydroxylase (the enzyme responsible for converting dopamine to norepinephrine). This inhibition occurs by diethyldithiocarbamate, the reduction product of disulfiram, through chelation of the copper ions that are important cofactors for the activity of the enzyme (Goldstein et al., 1964). The exact consequences of this is still largely unknown, but an inhibition of psychostimulant-induced dopamine release through decreased noradrenaline has been suggested, as the positive effects of disulfiram on cocaine-dependence cannot be explained by an increased baseline dopamine concentration alone (Gaval-Cruz & Weinshenker, 2009).
In a human study, participants receiving disulfiram and cognitive behavioural therapy were found to have lower cocaine use, than those who received cognitive behavioural therapy and placebo. Furthermore, this effect was larger in participants who were not alcohol dependent or were abstinent during the trial, thus indicating that the effect was not because of reduced alcohol use (Carroll et al., 2004). Another human study, reported that the “high” resulting from i.v. administration of cocaine was diminished upon acute disulfiram treatment (Baker et al., 2007). A third study revealed significantly longer cocaine abstinence in opioid and cocaine-dependent patients on disulfiram compared to placebo (George et al., 2000). Interestingly, a single human study has looked at gender difference of treating individuals with cocaine addiction with disulfiram indicating that this treatment might only be useful in males (Nich et al., 2004).
Though these results are promising, several other randomized controlled trials have been conducted investigating an effect of disulfiram on cocaine dependency with varying results. Many of the studies have had low numbers, high heterogeneity of abuse or safety issues, possibly due to a cocaine-disulfiram interaction (Pani et al., 2010) but interestingly, some studies indicate that in addition to gender, different genotypes of the dopamine beta-hydroxylase might influence the effect of disulfiram on cocaine addiction (Kosten et al., 2013). Perhaps further research in this area or greater stratification of the clinical trials could provide additional evidence of treatment efficacy.
Summary of pharmacologic approaches targeting the dopamine system
The rationale for interfering with the dopaminergic transmission in addiction disorders is in many ways straightforward given that psychostimulant addiction is considered a disorder of the dopamine driven reward system. Consequently, occupying the binding site for psychostimulants on the dopamine transporter, targeting the downstream receptors or modulating the dopamine metabolism is likely to reduce the rewarding effects of psychostimulants and thus might alter habit formation. Using dopaminergic medications to treat stimulant use disorders is resembling replacement therapy, which is an already established strategy successful in the treatment of nicotine and opioid dependence (Frishman, 2007; Hays & Ebbert, 2008; Kampman & Jarvis, 2015). For an overview of all clinically tested drugs affecting the dopamine system mentioned in this review, see table 1.
TABLE 1. Human studies with pharmacological targeting of the dopamine system to treat psychostimulant addiction.
DAT inhibitors including Bupropion and novel benztropine analogs show promising preclinical results including beneficial effects on reward and habit formation induced by psychostimulants, but also in relation to drug-craving specifically as assessed by reinstatement. Clinical findings confirm suppression of drug-reward in humans, and Bupropion has even demonstrated moderate efficacy in reducing drug use under certain conditions. Despite their clear effects in preclinical studies, antipsychotics with primary effect on D2 receptors, have generally shown disappointing results in clinical trials except their potential for reducing drug intake and craving in patients suffering from schizophrenia or bipolar disorder. Recently, the more localized expression of D3 receptors has fuelled promising development of D3 specific antagonist but they have so far not been tested clinically. Finally, disulfiram, which inhibits dopamine beta-hydroxylase, has shown effect on drug perception, use and abstinence, but outcome is dependent on gender of the subjects and genotype variation of dopamine beta-hydroxylase. Importantly, use is possibly compromised by cocaine-disulfiram interaction.
Taken together, the strong preclinical data, and several successful clinical trials, although with modest efficacy, highlights the feasibility and potential of targeting the dopamine system to treat psychostimulant addiction. Importantly, the most relevant compounds can indeed reduce not only drug perception but also drug intake. We speculate that by circumventing large dopamine fluctuations, such drugs might be beneficial. Likely, better insight into the dopamine dynamics and the related behaviour will emerge in the wake of novel fluorescence-based dopamine sensors with high temporal resolution (Patriarchi et al., 2018; Sun et al., 2018).
Targeting the glutamate system
Glutamate and GABA receptors are the mediators of most synaptic transmission and both types (incl. all subtypes) are involved in the induction, expression, and modulation of certain types of synaptic plasticity. Glutamate activates three main classes of ionotropic glutamate receptors named after their selective agonists; alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA), N-methyl-D-aspartate (NMDA), and kainate as well as a family of G-protein coupled metabotropic glutamate receptors (mGluRs). GABA activates two main classes of receptors; the ionotropic GABA-A receptors and the G-protein coupled metabotropic GABA-B receptors (Collingridge et al., 2004). The dynamic levels of AMPA receptors at the synapses lead to plastic changes in synaptic function and are thought to underlie information storage in the brain by modifying connectivity between neurons and neuronal circuits. Therefore, AMPA receptors have been heavily studied and understanding the life cycles of AMPA receptors is fundamental to the understanding of synaptic plasticity.
Glutamate transmission, especially in the nucleus accumbens, changes radically in response to chronic psychostimulant addiction. Transmitter release, receptor expression, receptor trafficking, reuptake, and intracellular signalling all change dramatically with different adaptations in different brain areas, in different stages of addiction, and experimental settings (Schmidt & Pierce, 2010; Luscher & Malenka, 2011).
Alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor regulation in memory and addiction
AMPA receptors are a subtype of glutamate receptors mediating rapid excitatory neurotransmission in the CNS. They are ligand-gated ion channels and are the main mediators of excitatory neurotransmission in the brain. AMPA receptors are homo- or hetero-tetramers consisting of the four basic units, GluA1-4, undergoing different splicing and RNA editing and combining in different stoichiometries to form sodium/potassium and in some cases also calcium permeable cationic channels of different functional properties (Hollmann & Heinemann, 1994; Rosenmund et al., 1998; Shepherd & Huganir, 2007). The transmembrane and extracellular parts of the different subunits are very similar, but they vary in their intracellular cytoplasmic C-terminal part (Shepherd & Huganir, 2007). Regulation of the number and type of AMPA receptors on the plasma membrane is divided into long-term potentiation (LTP) and long-term depression (LTD). Under basal conditions AMPA receptors are constitutively trafficking with repeated cycles of endocytosis and reinsertion allowing for an effective and fast control of receptor density (Nishimune et al., 1998; Luscher et al., 1999; Carroll et al., 2001; Malinow & Malenka, 2002; Bredt & Nicoll, 2003; Hanley, 2008). AMPA receptor trafficking is a fundamental mechanism for regulating synaptic strength, underlying mechanisms involved in learning and memory. The interaction of the GluA1/GluA2 subunits of AMPA receptors with several different proteins affects trafficking of AMPA receptors.
In response to chronic drug abuse changes in both LTD and LTP have been shown both in the VTA and in the glutamatergic corticostriatal projections terminating on the medium spiny neurons (MSNs) of the shell and core of the nucleus accumbens through changes in NMDA and AMPA receptor transmission. This bidirectional plasticity is seen during different stages of addiction and in different experimental settings (Luscher & Malenka, 2011; Quintero, 2013; Mulholland et al., 2016) and with slight differences between different psychostimulants (Wolf & Ferrario, 2010). For instance, repeated cocaine administration leads to LTD in the nucleus accumbens, whereas subsequent withdrawal leads to insertion of LTP involving calcium-permeable AMPARs to mediate drug-craving (Thomas et al., 2001; Kourrich et al., 2007; Conrad et al., 2008). In general, an increase in AMPA currents, both in the nucleus accumbens (especially the D1 expressing MSNs), the orbitofrontal cortex, and the prefrontal cortex seem to be principal during extended withdrawal and underlie some of the vulnerability to relapse seen in psychostimulant addiction (Mulholland et al., 2016). Furthermore, LTD and LTP in the nucleus accumbens are pathologically inhibited by chronic cocaine self-administration, thus explaining an increased rigidity in adaptive behaviour (Kalivas & Volkow, 2011). Modulation of AMPAR signalling or reversal of the complex changes in LTP and LTD seen in addiction therefore seems like a promising target for therapeutics.
Direct alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor manipulation
In rats, the AMPA-antagonist LY293558 has been shown to inhibit reinstatement of cocaine seeking after a drug-related cue when infused in the nucleus accumbens core, but not shell (Di Ciano & Everitt, 2001). Another, AMPA receptor antagonist, the anticonvulsant topiramate has been investigated more thoroughly. Of note, topiramate also inhibits voltage gated sodium and calcium channels, as well as GABA-A receptors. In humans, a pilot study with topiramate-treatment revealed an increased success rate of abstinence in patients with cocaine dependence (Kampman et al., 2004). A systematic review and meta-analysis from 2016 concluded from a total of five studies, that even though topiramate-treatment does not improve treatment retention, it was able to extend continuous cocaine abstinence in two of the five studies and significantly reduced craving in one study (Singh et al., 2016).
Indirect alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor manipulation
An alternative strategy to targeting the AMPA receptor signalling directly with antagonists, is to target their subunit composition and expression at the surface. This can be done by targeting several different AMPA receptor interaction partners. In this review we have chosen to focus on the C-terminal binding partner of GluA2-containing AMPA receptors, PICK1. The scaffolding protein PICK1 is thought to influence both internalization and insertion of GluA2-containing AMPA receptors in the shell of the nucleus accumbens (Schmidt & Pierce, 2010) and the upregulation of AMPA receptors lacking the GluA2-subunit seems to depend on the downregulation of GluA2-containing AMPA receptors (Famous et al., 2008). During extinction of cocaine self-administration, the levels of PICK1 decreases in the dorsolateral striatum, while total PICK1 expression increases in the nucleus accumbens shell of rats (Ghasemzadeh et al., 2009). PICK1 knockout mice show reduced self-administration of cocaine along with increased striatal dopamine, suggesting an importance of PICK1 in regulating the dopamine homeostasis in addiction (Jensen et al., 2018). Additionally, it has been shown in mice that disrupting the interaction between GluA2-containing AMPA receptors and PICK1 with a cell-permeable peptide (Pep2-EVKI) in both the core and the shell of the nucleus accumbens attenuates drug-induced reinstatement (Famous et al., 2008) and a decrease in cocaine-induced reinstatement has also been seen in rats using a high-affinity PICK1-inhibitor (Tat-P4-(DATC5)2) administered systemically (Turner et al., 2020). Another peptide (Tat-GluA2(3Y) likewise regulates AMPARs surface expression, by blocking the BRAG2/Arf6-mediated endocytosis following tyrosine phosphorylation of the GluA2 C-terminus and has been shown to prevent behavioural sensitization to amphetamine in rats (Brebner et al., 2005). So far, there are no human studies using this approach to treat psychostimulant addiction.
Metabotropic glutamate receptors
The metabotropic glutamate receptors are divided into three groups depending on their pharmacology and signal transduction. Group I receptors (mGluR1/5) are Gq-coupled and interacts with Homer-proteins and are typically located post-synaptically. Group II receptors (mGluR2/3) are Gi/o-coupled and located both pre- and post-synaptically. Group III receptors (mGluR4 and mGluR6-8) are also Gi/o-coupled but predominantly located pre-synaptically (Ferraguti & Shigemoto, 2006). It has been found that mGluRs, particularly in the nucleus accumbens, influence brain reward function, regulate drug self-administration, and conditioning of drug-related stimuli (Kenny & Markou, 2004; Li & Markou, 2015). mGluRs therefore seem promising candidates for addiction treatment, although they are still early in development (Olive, 2009).
mGluR1/5 modulation
DHPG (mGluR1 and mGluR5 agonist), Ro67-7476 (selective mGluR1 positive allosteric modulator) and SYN119 (selective positive allosteric modulator of mGluR1) all have the ability to decrease cue-induced cocaine seeking when administered directly into the nucleus accumbens of rats following prolonged withdrawal of cocaine self-administration (Loweth et al., 2014). SYN119 has been shown to attenuate cocaine as well as methamphetamine craving in rats after systemic administration (Loweth et al., 2014; Scheyer et al., 2016; Caprioli et al., 2018). In squirrel monkeys, JNJ16259685 (selective mGluR1 agonist) attenuates self-administration, drug-discrimination and reinstatement of cocaine and methamphetamine, and in rats JNJ16259685 has been shown to attenuate drug context-induced reinstatement of cocaine seeking (Xie et al., 2010; Achat-Mendes et al., 2012).
The negative allosteric modulators of mGluR5, MTEP, and MPEP, have been found to decrease cocaine-induced reinstatement in rats and the same study found that MTEP also diminished cue-induced reinstatement of cocaine (Kumaresan et al., 2009). Despite their ability to reduce cocaine self-administration, neither MTEP nor MPEP will likely be used to treat humans suffering from psychostimulant addiction due to extensive off-target side-effects (e.g., hallucinations and interaction with hepatic enzyme CYP1A2). However, they demonstrate a potential for negative allosteric modulators of mGluR5 as future therapeutics (Mihov & Hasler, 2016).
mGluR2/3 modulation
The mGluR2/3 agonist LY379268 has shown decreased reinstatement of cue-induced self-administration of cocaine in rats (Baptista et al., 2004). Administration of LY379268 has also been shown to decrease cue- and drug priming-induced reinstatement of cocaine self-administration in nonhuman primates (Adewale et al., 2006; Justinova et al., 2016) and incubation of cocaine or methamphetamine self-administration in rats (Liechti et al., 2007; Crawford et al., 2013).
BINA, a positive allosteric modulator of the mGluR2, has been shown to attenuate self-administration and increase intracranial self-stimulation threshold of cocaine in rats. Furthermore, BINA also reduced cue-induced reinstatement of cocaine (Jin et al., 2010). Another selective positive allosteric modulator of mGluR2, AZD8529, has been shown to decrease incubation of methamphetamine craving in rats. When given the choice between food and methamphetamine after prolonged voluntary abstinence, the rats chose the palatable food (Caprioli et al., 2015), however, clinical trials have only been carried out for smoking cessation.
mGluR7 modulation
Systemic administration of AMN082, the first selective agonist for mGluR7, (Mitsukawa et al., 2005), has been shown to decrease cocaine self-administration in both a fixed and progressive ratio schedule in rats without affecting sucrose intake (Li et al., 2009). Effect on cocaine self-administration, however, is less pronounced than for nicotine self-administration (Li & Markou, 2015). Moreover, systemic and intra-accumbens administration of AMN082 (10 mg/kg) attenuated cocaine priming induced reinstatement of cocaine seeking behaviour in rats, but also to some extent sucrose-induced reinstatement of sucrose seeking (20 mg/kg) (Li & Markou, 2015).
Modulation of glutamate transport
The glutamate transporter GLT-1 (EAAT2 in humans) is an influential regulator of extracellular glutamate. It is primarily an astroglial transporter localized near the synaptic clefts where it eliminates glutamate from the extracellular space (Kalivas, 2009). During self-administration of cocaine, GLT-1 is downregulated in the nucleus accumbens, and this seems to greatly contribute to the heavily increased synaptic glutamate levels during reinstatement (Quintero, 2013).
N-acetylcysteine
N-acetylcysteine, a prodrug of cystine commonly used to treat paracetamol poisoning, seems a promising candidate for treatment of psychostimulant addiction (Jupp & Lawrence, 2010). In rats, N-acetylcysteine activates the cystine/glutamate-transporter, thereby increasing extrasynaptic glutamate levels and thus activating the mGluR2/3s which are downregulated after chronic cocaine-administration (Baker et al., 2003). Administration of N-acetylcysteine restores the GLT-1 levels, and this mechanism might be the most important factor determining the behavioural effects of the pharmaceutical (Reissner et al., 2015). By increasing the activity of the cystine/glutamate-transporter and restoring GLT-1 levels, N-acetylcysteine has been found to attenuate cue- (Reissner et al., 2015) and cocaine-induced reinstatement of cocaine seeking in rats (Baker et al., 2003). Interestingly, N-acetylcysteine also seems to influence the increased drug motivation seen in the withdrawal stage of addiction, as it has been found to decrease escalation of drug intake in rats with long access to cocaine (Madayag et al., 2007), although it does not seem to influence the maintenance of this behaviour nor the motivation of drug-seeking under a progressive-ratio-paradigm. Nevertheless, administration of N-acetylcysteine reduces cocaine-seeking in rats in the face of punishment (Ducret et al., 2016). In humans, administration of N-acetylcysteine to individuals addicted to cocaine significantly decreased cocaine craving and increased time to relapse (LaRowe et al., 2013). Furthermore, a review from 2017 based on randomized clinical trials found that N-acetylcysteine effectively reduced cravings of all the investigated drugs, including methamphetamine and cocaine (Duailibi et al., 2017). Of note, the ability of N-acetylcysteine to cross the blood-brain barrier has been questioned and seems to depend upon dose and administration (Bavarsad Shahripour et al., 2014), thereby questioning the mechanism underlying the above mentioned results. Nevertheless, the preliminary results incites investigations into pharmacokinetically superior N-acetylcysteine derivatives, such as N-acetylcysteine amide (Sunitha et al., 2013).
Ceftriaxone
Ceftriaxone is an approved beta-lactam-antibiotic used to treat certain kinds of bacterial infections. Like other beta-lactams it increases transcription of GLT-1 through an interaction with nuclear factor-kB (NF-kB) (Lee et al., 2008). Ceftriaxone has been shown to attenuate both cue- and drug-induced reinstatement in rats (Knackstedt et al., 2010). In addition, ceftriaxone has been shown to attenuate context-primed cocaine relapse in rats including increased levels of GluR1 levels and unchanged GluR2 levels in the nucleus accumbens without attenuating the relapse-dependent glutamate efflux of the nucleus accumbens (LaCrosse et al., 2016). Interestingly, when the reinstatement is cue-induced instead of context-induced, ceftriaxone attenuates the cocaine-seeking as well as the nucleus accumbens core glutamate efflux (Bechard et al., 2021). There are currently no ongoing clinal trials or earlier studies examining effects of ceftriaxone on addiction in humans. This could be because the antibiotic must be administrated intravenously, complicating the experimental setup.
Interestingly, it has been discovered that manipulation of the glutamate-homeostasis using either N-acetylcysteine or ceftriaxone induces enduring changes in drug-seeking behaviour in rats, as both drug-induced and cue-induced reinstatement are attenuated weeks after the therapeutics were given (Reichel et al., 2011; Sondheimer & Knackstedt, 2011), thus further highlighting the promise of these interventions.
Summary of pharmacologic approaches targeting the glutamate system
The rationale for targeting molecular players in the glutamatergic transmission is to restore the complex maladaptive plasticity induced in the nucleus accumbens after repeated psychostimulant addiction as well as following drug abstinence. As such, the glutamatergic transmission is a critical target particular in late stages of addiction driven by habit and compulsive behaviour. While direct inhibition of AMPARs is highly challenging and associated with severe side-effects, modulation of the dynamic AMPAR trafficking by peptides that block intracellular scaffold proteins might be a more feasible therapeutic alternative, yet such approaches remain to be tested in clinical trials. Interference with metabotropic glutamate receptors in principle provides a more discrete mechanism for modulation and even reversal of the maladaptive plasticity induced by psychostimulants and may even be directed at different stages of addiction. Both antagonists and the positive allosteric inhibitors remain to be tested in clinical trials. Finally, reduced glutamate uptake is a central mechanism in maladaptive plasticity and several approved drugs can modulate and restore this deficit, with promising clinical trials for both ceftriaxone and N-acetylcysteine. For an overview of clinically tested drugs affecting the glutamate system mentioned in this review, see table 2.
TABLE 2. Human studies with pharmacological targeting of the glutamate system to treat psychostimulant addiction.
Targeting withdrawal symptoms
An alternative approach to treat psychostimulant addiction is to target some of the withdrawal symptoms like increased stress, dysphoria, anxiety, decreased reward-sensation, and the compulsive drug-seeking (Koob et al., 2009).
Corticotropin releasing factor antagonists
Corticotropin releasing factor (CRF) antagonists have been proposed as a future therapeutic due to the involvement of the neuropeptide CRF in several aspects of addiction, and especially its importance in withdrawal leading to increased CRF release in the amygdala of rats during withdrawal following cocaine self-administration (Richter & Weiss, 1999; Ubaldi et al., 2016). For instance, the selective CRF1 antagonists MPZP and CP-154,526 reduce cocaine self-administration in rats (Goeders & Guerin, 2000; Specio et al., 2008) and the non-selective CRF-antagonist D-phe CRF(12-41) minimize anxiogenic-like responses to withdrawal from chronic cocaine during the defensive burying paradigm but not in the elevated plus maze (Basso et al., 1999). Anxiety-like behaviour in the latter test was found to be reduced by administration of the selective CRF2-receptor antagonist antisauvagine-30 during methamphetamine withdrawal in rats (Reinbold et al., 2014). Furthermore, administration of the selective CRF1 receptor antagonist CP 154,526 attenuates increased cocaine-seeking during early extinction (withdrawal) in rats (Cason et al., 2016). CP 154,526 also attenuates cocaine-induced hyperlocomotion as well as cocaine-induced conditioned place preference and drug-induced reinstatement of cocaine seeking (Lu et al., 2003; Przegalinski et al., 2005). The non-selective CRF receptor antagonist α-helical CRF(9-41) can attenuate stress-induced reinstatement of methamphetamine-seeking in rats (Nawata et al., 2012). To our knowledge, no clinical trials with CRF antagonists have been performed for treatment of psychostimulant dependence specifically.
Cognitive enhancers
Decreased cognitive abilities and impaired executive function are important parts of the relapsing nature of psychostimulant addiction (Goldstein & Volkow, 2011). By restoring these abilities in a person with addiction, the incomprehensible action of unintentional relapse could be halted. Moreover, a decrease in cognitive function has been linked to decreased treatment retention, another good reason to target this specific side-effect of addiction (Sofuoglu et al., 2016). It is mainly the noradrenergic, and cholinergic neurotransmitter systems that are being investigated as potential targets for enhancing cognition in psychostimulant addiction (Sofuoglu, 2010).
Atomoxetine
Atomoxetine is a selective noradrenaline reuptake inhibitor, used to treat ADHD-phenotypes like impulsivity and attentional impairment in humans. In rats, atomoxetine has been shown to decrease several distinct forms of impulsivity (Robinson et al., 2008). Furthermore, atomoxetine decreases the number of trials needed to reverse a learned discrimination in both a four-position discrimination task in rats and a three-choice visual discrimination task in monkeys (Seu et al., 2009).
In humans, a double-blind placebo-controlled study of a go/no-go task with cocaine-, and food-related stimuli, found that atomoxetine decreases the attentional bias of cocaine-dependent individuals (Passamonti et al., 2017). Another study found, that atomoxetine only has modest effects on cognition in an immediate memory test and shows no effect in a rapid visual processing test as well as in a stop signal task in individuals in early remission of cocaine addiction (DeVito et al., 2017a). Further analysis of the data indicated, that the lack of effect might be explained by sex differences, with the beneficial effects of atomoxetine only seen in males (DeVito et al., 2017b). The aspect of sex differences for the effects of atomoxetine has been seen in rodents as well (Smethells et al., 2016; Swalve et al., 2016). However, further research is needed to evaluate long-term treatment effects on psychostimulant intake and relapse.
Cholinesterase inhibitors
Cholinesterase inhibitors that are blood brain barrier permeable are currently used in humans to treat Alzheimer’s disease and are now being investigated in individuals addicted to psychostimulants as possible enhancers of cognitive function (Sofuoglu et al., 2016). In humans, pilot studies with the two cholinesterase inhibitors, galantamine and rivastigmine, have shown promising results in relation to treatment of cocaine addiction. Galantamine is a reversible competitive cholinesterase inhibitor with additional allosteric modulating properties of α7 and α4β2 nicotinic receptors, which in mice have been shown to improve spatial memory in a surgical model of memory impairment (Sweeney et al., 1988). Galantine has been shown to decrease cocaine intake and increase performance of abstinent cocaine users in the rapid visual information processing test, whereas rivastigmine increases working memory (Sofuoglu & Carroll, 2011; Sofuoglu et al., 2011; Mahoney et al., 2014). However, the results of a follow up clinical trial revealed no effect of galantamine on neither cocaine urine levels or cognitive function on patients with cocaine use disorder (DeVito et al., 2019).
Discussion
This review has presented results from investigations of a selection of pharmaceutical approaches for treatment of psychostimulant addiction, with some showing great promise. For an overview of the dopaminergic and glutamatergic pathways involved in psychostimulant addiction and the pharmacological agents shown to reduce addictive behaviour by targeting one of these pathways see Figure 1. Anecdotally one of the main issues when treating psychostimulant addiction is the craving seen during the first weeks of abstinence. Therefore, some of the most promising therapeutics might be the ones modulating the glutamate system and craving, with already approved pharmaceuticals such as n-acetylcysteine and ceftriaxone proving very intriguing. Since relapse can be initiated by context, any cue could be sufficient to induce relapse behaviour despite pharmacologically lowered reinforcing properties of a drug (Milton & Everitt, 2010). Nevertheless, since many of the therapeutics also regulate other aspects of addiction such as: compulsive drug-seeking (aripiprazole), extinction (D3-receptor antagonists), and reinstatement of drug-seeking (aripiprazole, bupropion, AHN-1055, D3-receptor antagonists, disulfiram), some of these pharmaceuticals might still hold a potential as future therapeutics. Each of the above-mentioned targets are problematic because of their non-selective molecular-directed actions, which give rise to certain drug-specific side effects, all complicating the transition from promising future therapeutic to approved clinical treatment.
FIGURE 1. Overview of the pathways involved in psychostimulant addiction. Green arrows depict the mesocortical dopaminergic pathways projecting from the ventral tegmental area (VTA) to nucleus accumbens (NAc) and prefrontal cortex (PFC) and the mesolimbic dopaminergic pathways projecting from the substantia nigra to the dorsal striatum. Blue arrows depict the glutamatergic projections from the prefrontal cortex (PFC) into dorsal striatum and nucleus accumbens (NAc). Pharmacological agents that have been shown to reduce addictive behaviour by targeting the dopaminergic transmission are listed in green. Pharmacological agents that have been shown to reduce addictive behaviour by targeting the glutamatergic transmission are listed in green. Drugs that have been tested in human trials are shown in bold.
The gap between the very promising results in well-founded animal models of addiction to low effect sizes in clinical trials is an important reason for the lack of approved treatment against psychostimulant addiction [for review see (Czoty et al., 2016)], along with issues regarding treatment retention and compliance (Morley et al., 2017), and the immense importance of social context in addiction (Heilig et al., 2016). When looking through pre-clinical data to find promising therapeutics for human trials of addiction, it is important to note how and why use of a drug is reduced in the specific animal models. If drug-use decreases because of side effects such as sedation, emesis, or aversion, efficacy will obviously diminish in humans because of lower compliance. A way to strengthen conclusions based on drug side effects, is to look for animal studies that include data on response to a non-drug reinforcer (i.e., food) in order to rule out these side effects (Czoty et al., 2016). Another way to approach the issue, is to reverse-translate successful clinical research in related fields to optimize pre-clinical research of treating psychostimulant use disorders (Venniro et al., 2020). This could lead to development of more and maybe even better pre-clinical models, but of course using such strategies involve the risk that new drugs will only make it to clinical trials, when their mechanism of action resemble the already existing ones. As mentioned in the introduction, some preclinical researchers have tried to better resemble the societal complexity of the human population with psychostimulant use disorders by adding environmental differences in the experimental setup, thereby influencing the vulnerability of increased drug intake of specific test subjects (Fouyssac et al., 2021).
It is also important to keep in mind that differences in treatment success between pre-clinical and clinical studies may be due in part to increased variability in behavioural phenotypes observed in human patients. Most clinical trials and subsequent meta-analysis lack two things; Firstly, they do not take phenotypes of the patients such as psychiatric comorbidity, frequency of drug use, genetic subgroups, and co-abuse of other drugs into account. For example, post-hoc analysis of a large clinical trial with Modafinil revealed significant effect of modafinil treatment only if the subgroup of comorbid alcohol users was removed from the analysis (Anderson et al., 2009). Secondly, they ignore factors related to differences in treatment strategies such as drug dosage, titration speed and formulation onset (Brandt et al., 2021). As different stages can dominate the symptoms in patients with psychostimulant disorders, discovering these differences and initial vulnerabilities toward addictive behaviour could present a possibility of more personalized treatment regimens and thereby increase efficacy of future therapeutics. For instance, different genotypes of the dopamine beta-hydroxylase might influence the effectiveness of disulfiram (Kosten et al., 2013) and polymorphism in CRF-receptor-genes have been associated with increased stress-reactivity and vulnerability to addictive behaviour (Ouzir & Errami, 2016), which could mean that treatment with CRF-antagonists could provide additional efficacy.
In general, proper stratification before initiation of clinical trials for substance use disorders is currently insufficient. Gender differences in responding to psychostimulants or psychostimulant-associated cues is well-known, and the same counts for differences between adolescents vs. adults (Kosten et al., 1996; Lynch et al., 2008; Wong et al., 2013; Runegaard et al., 2017; Caffino et al., 2021), yet many clinical trials base their analysis on mixed genders and wide age groups (see Tables 1, 2). The sex differences in treatment efficacy seen for both disulfiram, atomoxetine and bupropion highlight this need for stratification, since some of the negative treatment outcomes of clinical trials might stem from the combination of low patient numbers combined with mixed genders and random age groups being combined (Nich et al., 2004; Pani et al., 2010; Heinzerling et al., 2013; Heinzerling et al., 2014; DeVito et al., 2017b).
Another great pitfall of the clinical trials is patient compliance as well as the variation in outcome measures chosen. Modafinil, is an example where adequate adherence to treatment has been shown to be a necessity for the effectiveness of modafinil to treat psychostimulant disorder, confirming the need to validate medication compliance in clinical trials (Anderson et al., 2012). In relation to outcome measures, urine samples could help quantitatively determine levels of stimulant use during the clinical trial but is not always included. In general, a combination of self-report and biological indicators seem to be the proper primary outcome (Donovan et al., 2012).
Thus, the immense amount of research conducted in the field of neuroscience and addiction could someday provide effective and tolerable treatment for psychostimulant addiction and increase the translation from bench to bedside. Nevertheless, as addiction continues to be stigmatized, connected to shame, and include important psychological and social aspects, expensive new treatment might have long prospects. Therefore, accessible, and affordable therapeutics are also warranted. Finally, given that preclinical studies clearly demonstrate effects of targeting different pathways, an attractive clinical path would be to combine such drugs to meet the requirement of individual patients.
Author contributions
KJ and SJ did the main literature search. KJ and KM had the idea for the manuscript. KJ, SJ, and KM have all been involved in the design, writing, and editing of the manuscript.
Funding
This work was supported by Lundbeck Foundation R322-2019-1816 (KJ); NOVO Seed, Dolorest NNF19SA0055737 (KM); NOVO Nordisk, NNF21OC0070287 (KM); NOVO Nordisk NNF20OC0065309 (KM), and Lundbeck Foundation R344-2020-1063 (KM).
Conflict of interest
KM is co-founder of DolorestBio, a spinout company from Copenhagen University, that have exclusive license on TAT-P4-(C5)2 and related technologies described in two patent applications filed to EPO.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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References
Achat-Mendes, C., Platt, D. M., and Spealman, R. D. (2012). Antagonism of metabotropic glutamate 1 receptors attenuates behavioral effects of cocaine and methamphetamine in squirrel monkeys. J. Pharmacol. Exp. Ther. 343 (1), 214–224. doi:10.1124/jpet.112.196295
Adewale, A. S., Platt, D. M., and Spealman, R. D. (2006). Pharmacological stimulation of group li metabotropic glutamate receptors reduces cocaine self-administration and cocaine-induced reinstatement of drug seeking in squirrel monkeys. J. Pharmacol. Exp. Ther. 318 (2), 922–931. doi:10.1124/jpet.106.105387
Andersen, M. L., Kessler, E., Murnane, K. S., McClung, J. C., Tufik, S., and Howell, L. L. (2010). Dopamine transporter-related effects of modafinil in phesus monkeys. Psychopharmacol. Berl. 210 (3), 439–448. doi:10.1007/s00213-010-1839-2
Anderson, A. L., Li, S. H., Biswas, K., McSherry, F., Holmes, T., Iturriaga, E., et al. (2012). Modafinil for the treatment of methamphetamine dependence. Drug Alcohol Depend. 120 (1-3), 135–141. doi:10.1016/j.drugalcdep.2011.07.007
Anderson, A. L., Reid, M. S., Li, S. H., Holmes, T., Shemanski, L., Slee, A., et al. (2009). Modafinil for the treatment of cocaine dependence. Drug Alcohol Depend. 104 (1-2), 133–139. doi:10.1016/j.drugalcdep.2009.04.015
Baker, D. A., McFarland, K., Lake, R. W., Shen, H., Tang, X. C., Toda, S., et al. (2003). Neuroadaptations in cystine-glutamate exchange underlie cocaine relapse. Nat. Neurosci. 6 (7), 743–749. doi:10.1038/nn1069
Baker, J. R., Jatlow, P., and McCance-Katz, E. F. (2007). Disulfiram effects on responses to intravenous cocaine administration. Drug Alcohol Depend. 87 (2-3), 202–209. doi:10.1016/j.drugalcdep.2006.08.016
Baptista, M. A., Martin-Fardon, R., and Weiss, F. (2004). Preferential effects of the metabotropic glutamate 2/3 Receptor Agonist LY379268 on conditioned reinstatement versus primary reinforcement: comparison between cocaine and a potent conventional reinforcer. J. Neurosci. 24 (20), 4723–4727. doi:10.1523/JNEUROSCI.0176-04.2004
Basso, A. M., Spina, M., Rivier, J., Vale, W., and Koob, G. F. (1999). Corticotropin-releasing factor antagonist attenuates the "anxiogenic-like" effect in the defensive burying paradigm but not in the elevated plus-maze following chronic cocaine in rats. Psychopharmacol. Berl. 145 (1), 21–30. doi:10.1007/s002130051028
Bavarsad Shahripour, R., Harrigan, M. R., and Alexandrov, A. V. (2014). N-acetylcysteine (nac) in neurological disorders: mechanisms of action and therapeutic opportunities. Brain Behav. 4 (2), 108–122. doi:10.1002/brb3.208
Bechard, A. R., Logan, C. N., Mesa, J., Padovan-Hernandez, Y., Blount, H., Hodges, V. L., et al. (2021). Role of prefrontal cortex projections to the nucleus accumbens core in mediating the effects of ceftriaxone on cue-induced cocaine seeking. Addict. Biol. 26 (2), e12928. doi:10.1111/adb.12928
Bergman, J. (2008). Medications for stimulant abuse: agonist-based strategies and preclinical evaluation of the mixed-action d-sub-2 partial agonist aripiprazole (abilify). Exp. Clin. Psychopharmacol. 16 (6), 475–483. doi:10.1037/a0014398
Bina, R. W., and Langevin, J. P. (2018). Closed loop deep brain stimulation for PTSD, addiction, and disorders of affective facial interpretation: review and discussion of potential biomarkers and stimulation paradigms. Front. Neurosci. 12, 300. doi:10.3389/fnins.2018.00300
Bouthenet, M. L., Souil, E., Martres, M. P., Sokoloff, P., Giros, B., and Schwartz, J. C. (1991). Localization of dopamine d3 receptor mrna in the rat brain using in situ hybridization histochemistry: comparison with dopamine d2 receptor mrna. Brain Res. 564 (2), 203–219. doi:10.1016/0006-8993(91)91456-b
Brandt, L., Chao, T., Comer, S. D., and Levin, F. R. (2021). Pharmacotherapeutic strategies for treating cocaine use disorder-what do we have to offer? Addiction 116 (4), 694–710. doi:10.1111/add.15242
Brebner, K., Wong, T. P., Liu, L., Liu, Y., Campsall, P., Gray, S., et al. (2005). Nucleus accumbens long-term depression and the expression of behavioral sensitization. Science 310 (5752), 1340–1343. doi:10.1126/science.1116894
Bredt, D. S., and Nicoll, R. A. (2003). AMPA receptor trafficking at excitatory synapses. Neuron 40 (2), 361–379. doi:10.1016/s0896-6273(03)00640-8
Broderick, P. A., Hope, O., Okonji, C., Rahni, D. N., and Zhou, Y. (2004). Clozapine and cocaine effects on dopamine and serotonin release in nucleus accumbens during psychostimulant behavior and withdrawal. Prog. Neuropsychopharmacol. Biol. Psychiatry 28 (1), 157–171. doi:10.1016/j.pnpbp.2003.09.032
Brown, E. S., Nejtek, V. A., Perantie, D. C., and Bobadilla, L. (2002). Quetiapine in bipolar disorder and cocaine dependence. Bipolar Disord. 4 (6), 406–411. doi:10.1034/j.1399-5618.2002.02229.x
Brown, E. S., Nejtek, V. A., Perantie, D. C., Rajan Thomas, N., and Rush, A. J. (2003). Cocaine and amphetamine use in patients with psychiatric illness: a randomized trial of typical antipsychotic continuation or discontinuation. J. Clin. Psychopharmacol. 23 (4), 384–388. doi:10.1097/01.jcp.0000085412.08426.08
Brunette, M. F., Drake, R. E., Xie, H., McHugo, G. J., and Green, A. I. (2006). Clozapine use and relapses of substance use disorder among patients with co-occurring schizophrenia and substance use disorders. Schizophr. Bull. 32 (4), 637–643. doi:10.1093/schbul/sbl003
Brunetti, M., Di Tizio, L., Dezi, S., Pozzi, G., Grandinetti, P., and Martinotti, G. (2012). Aripiprazole, alcohol and substance abuse: a review. Eur. Rev. Med. Pharmacol. Sci. 16 (10), 1346–1354.
Brutcher, R. E., and Nader, M. A. (2015). Effects of quetiapine treatment on cocaine self-administration and behavioral indices of sleep in adult rhesus monkeys. Psychopharmacol. Berl. 232 (2), 411–420. doi:10.1007/s00213-014-3672-5
Caffino, L., Mottarlini, F., Zita, G., Gawlinski, D., Gawlinska, K., Wydra, K., et al. (2021). The effects of cocaine exposure in adolescence: behavioural effects and neuroplastic mechanisms in experimental models. Br. J. Pharmacol [online ahead of print]. doi:10.1111/bph.15523
Caprioli, D., Justinova, Z., Venniro, M., and Shaham, Y. (2018). Effect of novel allosteric modulators of metabotropic glutamate receptors on drug self-administration and relapse: a review of preclinical studies and their clinical implications. Biol. Psychiatry 84 (3), 180–192. doi:10.1016/j.biopsych.2017.08.018
Caprioli, D., Venniro, M., Zeric, T., Li, X., Adhikary, S., Madangopal, R., et al. (2015). Effect of the novel positive allosteric modulator of metabotropic glutamate receptor 2 AZD8529 on incubation of methamphetamine craving after prolonged voluntary abstinence in a rat model. Biol. Psychiatry 78 (7), 463–473. doi:10.1016/j.biopsych.2015.02.018
Carroll, K. M., Fenton, L. R., Ball, S. A., Nich, C., Frankforter, T. L., Shi, J., et al. (2004). Efficacy of disulfiram and cognitive behavior therapy in cocaine-dependent outpatients: a randomized placebo-controlled trial. Arch. Gen. Psychiatry 61 (3), 264–272. doi:10.1001/archpsyc.61.3.264
Carroll, R. C., Beattie, E. C., von Zastrow, M., and Malenka, R. C. (2001). Role of AMPA receptor endocytosis in synaptic plasticity. Nat. Rev. Neurosci. 2 (5), 315–324. doi:10.1038/35072500
Cason, A. M., Kohtz, A., and Aston-Jones, G. (2016). Role of corticotropin releasing factor 1 signaling in cocaine seeking during early extinction in female and male rats. PLoS One 11 (6), e0158577. doi:10.1371/journal.pone.0158577
Cha, S. K., and Kang, U. G. (2014). Effects of clozapine, haloperidol, and fluoxetine on the reversal of cocaine-induced locomotor sensitization. Psychiatry Investig. 11 (4), 454–458. doi:10.4306/pi.2014.11.4.454
Charntikov, S., Pittenger, S. T., Pudiak, C. M., and Bevins, R. A. (2018). The effect of n-acetylcysteine or bupropion on methamphetamine self-administration and methamphetamine-triggered reinstatement of female rats. Neuropharmacology 135, 487–495. doi:10.1016/j.neuropharm.2018.03.021
Charpeaud, T., Geneste, J., Schmidt, J., Llorca, P. M., and Brousse, G. (2011). Disulfiram and addiction: reminders and new perspectives of use. Therapie 66 (3), 273–280. doi:10.2515/therapie/2011025
Chiappini, S., Schifano, F., Corkery, J. M., and Guirguis, A. (2020). Focus on clozapine withdrawal- and misuse-related cases as reported to the european medicines agency (ema) pharmacovigilance database. Brain Sci. 10 (2), E105. doi:10.3390/brainsci10020105
Chiodo, K. A., Lack, C. M., and Roberts, D. C. (2008). Cocaine self-administration reinforced on a progressive ratio schedule decreases with continuous d-amphetamine treatment in rats. Psychopharmacol. Berl. 200 (4), 465–473. doi:10.1007/s00213-008-1222-8
Coffin, P. O., Santos, G. M., Das, M., Santos, D. M., Huffaker, S., Matheson, T., et al. (2013). Aripiprazole for the treatment of methamphetamine dependence: a randomized, double-blind, placebo-controlled trial. Addiction 108 (4), 751–761. doi:10.1111/add.12073
Collingridge, G. L., Isaac, J. T., and Wang, Y. T. (2004). Receptor trafficking and synaptic plasticity. Nat. Rev. Neurosci. 5 (12), 952–962. doi:10.1038/nrn1556
Conrad, K. L., Tseng, K. Y., Uejima, J. L., Reimers, J. M., Heng, L. J., Shaham, Y., et al. (2008). Formation of accumbens glur2-lacking ampa receptors mediates incubation of cocaine craving. Nature 454 (7200), 118–121. doi:10.1038/nature06995
Crawford, J. T., Roberts, D. C., and Beveridge, T. J. (2013). The group ii metabotropic glutamate receptor agonist, LY379268, decreases methamphetamine self-administration in rats. Drug Alcohol Depend. 132 (3), 414–419. doi:10.1016/j.drugalcdep.2013.07.024
Czoty, P. W., Stoops, W. W., and Rush, C. R. (2016). Evaluation of the "pipeline" for development of medications for cocaine use disorder: a review of translational preclinical, human laboratory, and clinical trial research. Pharmacol. Rev. 68 (3), 533–562. doi:10.1124/pr.115.011668
Dackis, C. A., Lynch, K. G., Yu, E., Samaha, F. F., Kampman, K. M., Cornish, J. W., et al. (2003). Modafinil and cocaine: a double-blind, placebo-controlled drug interaction study. Drug Alcohol Depend. 70 (1), 29–37. doi:10.1016/s0376-8716(02)00335-6
De Crescenzo, F., Ciabattini, M., D'Alo, G. L., De Giorgi, R., Del Giovane, C., Cassar, C., et al. (2018). Comparative efficacy and acceptability of psychosocial interventions for individuals with cocaine and amphetamine addiction: a systematic review and network meta-analysis. PLoS Med. 15 (12), e1002715. doi:10.1371/journal.pmed.1002715
Desai, R. I., Grandy, D. K., Lupica, C. R., and Katz, J. L. (2014). Pharmacological characterization of a dopamine transporter ligand that functions as a cocaine antagonist. J. Pharmacol. Exp. Ther. 348 (1), 106–115. doi:10.1124/jpet.113.208538
DeVito, E. E., Carroll, K. M., Babuscio, T., Nich, C., and Sofuoglu, M. (2019). Randomized placebo-controlled trial of galantamine in individuals with cocaine use disorder. J. Subst. Abuse Treat. 107, 29–37. doi:10.1016/j.jsat.2019.08.009
DeVito, E. E., Herman, A. I., Konkus, N. S., Zhang, H., and Sofuoglu, M. (2017a). Atomoxetine in abstinent cocaine users: cognitive, subjective and cardiovascular effects. Pharmacol. Biochem. Behav. 159, 55–61. doi:10.1016/j.pbb.2017.07.002
DeVito, E. E., Herman, A. I., Konkus, N. S., Zhang, H., and Sofuoglu, M. (2017b). Atomoxetine in abstinent cocaine users: sex differences. Data Brief. 14, 566–572. doi:10.1016/j.dib.2017.08.011
Di Ciano, P., and Everitt, B. J. (2001). Dissociable effects of antagonism of NMDA and AMPA/KA receptors in the nucleus accumbens core and shell on cocaine-seeking behavior. Neuropsychopharmacology 25 (3), 341–360. doi:10.1016/S0893-133X(01)00235-4
Di Ciano, P., Underwood, R. J., Hagan, J. J., and Everitt, B. J. (2003). Attenuation of cue-controlled cocaine-seeking by a selective d3 Dopamine Receptor Antagonist SB-277011-a. Neuropsychopharmacology 28 (2), 329–338. doi:10.1038/sj.npp.1300148
Diana, M., Raij, T., Melis, M., Nummenmaa, A., Leggio, L., and Bonci, A. (2017). Rehabilitating the addicted brain with transcranial magnetic stimulation. Nat. Rev. Neurosci. 18 (11), 685–693. doi:10.1038/nrn.2017.113
Donovan, D. M., Bigelow, G. E., Brigham, G. S., Carroll, K. M., Cohen, A. J., Gardin, J. G., et al. (2012). Primary outcome indices in illicit drug dependence treatment research: systematic approach to selection and measurement of drug use end-points in clinical trials. Addiction 107 (4), 694–708. doi:10.1111/j.1360-0443.2011.03473.x
Duailibi, M. S., Cordeiro, Q., Brietzke, E., Ribeiro, M., LaRowe, S., Berk, M., et al. (2017). N-acetylcysteine in the treatment of craving in substance use disorders: systematic review and meta-analysis. Am. J. Addict. 26 (7), 660–666. doi:10.1111/ajad.12620
Ducret, E., Puaud, M., Lacoste, J., Belin-Rauscent, A., Fouyssac, M., Dugast, E., et al. (2016). N-acetylcysteine facilitates self-imposed abstinence after escalation of cocaine intake. Biol. Psychiatry 80 (3), 226–234. doi:10.1016/j.biopsych.2015.09.019
Elkashef, A. M., Rawson, R. A., Anderson, A. L., Li, S. H., Holmes, T., Smith, E. V., et al. (2008). Bupropion for the treatment of methamphetamine dependence. Neuropsychopharmacology 33 (5), 1162–1170. doi:10.1038/sj.npp.1301481
Everitt, B. J., Giuliano, C., and Belin, D. (2018). Addictive behaviour in experimental animals: prospects for translation. Philos. Trans. R. Soc. Lond. B Biol. Sci. 373, 20170027. doi:10.1098/rstb.2017.0027
Famous, K. R., Kumaresan, V., Sadri-Vakili, G., Schmidt, H. D., Mierke, D. F., Cha, J. H., et al. (2008). Phosphorylation-dependent Trafficking of GluR2-Containing AMPA Receptors in the Nucleus Accumbens Plays a Critical Role in the Reinstatement of Cocaine Seeking. J. Neurosci. 28 (43), 11061–11070. doi:10.1523/JNEUROSCI.1221-08.2008
Farrell, M., Martin, N. K., Stockings, E., Borquez, A., Cepeda, J. A., Degenhardt, L., et al. (2019). Responding to Global Stimulant Use: Challenges and Opportunities. Lancet 394 (10209), 1652–1667. doi:10.1016/S0140-6736(19)32230-5
Feltenstein, M. W., Altar, C. A., and See, R. E. (2007). Aripiprazole Blocks Reinstatement of Cocaine Seeking in an Animal Model of Relapse. Biol. Psychiatry 61 (5), 582–590. doi:10.1016/j.biopsych.2006.04.010
Feltenstein, M. W., Do, P. H., and See, R. E. (2009). Repeated Aripiprazole Administration Attenuates Cocaine Seeking in a Rat Model of Relapse. Psychopharmacol. Berl. 207 (3), 401–411. doi:10.1007/s00213-009-1671-8
Ferragud, A., Velazquez-Sanchez, C., and Canales, J. J. (2014). Modulation of Methamphetamine's Locomotor Stimulation and Self-Administration by JHW 007, an Atypical Dopamine Reuptake Blocker. Eur. J. Pharmacol. 731, 73–79. doi:10.1016/j.ejphar.2014.03.015
Ferraguti, F., and Shigemoto, R. (2006). Metabotropic Glutamate Receptors. Cell. Tissue Res. 326 (2), 483–504. doi:10.1007/s00441-006-0266-5
Filip, M., Papla, I., Nowak, E., and Przegalinski, E. (2003). Blocking Impact of Clozapine on Cocaine Locomotor and Sensitizing Effects in Rats. Pol. J. Pharmacol. 55 (6), 1125–1130.
Fouyssac, M., Puaud, M., Ducret, E., Marti-Prats, L., Vanhille, N., Ansquer, S., et al. (2021). Environment-dependent Behavioral Traits and Experiential Factors Shape Addiction Vulnerability. Eur. J. Neurosci. 53 (6), 1794–1808. doi:10.1111/ejn.15087
Frishman, W. H. (2007). Smoking Cessation Pharmacotherapy-Nnicotine and Non-nicotine Preparations. Prev. Cardiol. 10, 10–22. doi:10.1111/j.1520-037x.2007.05963.x
Galaj, E., Haynes, J., Nisanov, R., Ananthan, S., and Ranaldi, R. (2016). The Dopamine D3 Receptor Antagonist, SR 21502, Facilitates Extinction of Cocaine Conditioned Place Preference. Drug Alcohol Depend. 159, 263–266. doi:10.1016/j.drugalcdep.2015.11.030
Gallo, A., Lapointe, S., Stip, E., Potvin, S., and Rompre, P. P. (2010). Quetiapine Blocks Cocaine-Induced Enhancement of Brain Stimulation Reward. Behav. Brain Res. 208 (1), 163–168. doi:10.1016/j.bbr.2009.11.029
Galloway, G. P., Buscemi, R., Coyle, J. R., Flower, K., Siegrist, J. D., Fiske, L. A., et al. (2011). A Randomized, Placebo-Controlled Trial of Sustained-Release Dextroamphetamine for Treatment of Methamphetamine Addiction. Clin. Pharmacol. Ther. 89 (2), 276–282. doi:10.1038/clpt.2010.307
Gaval-Cruz, M., and Weinshenker, D. (2009). Mechanisms of Disulfiram-Induced Cocaine Abstinence: Antabuse and Cocaine Relapse. Mol. Interv. 9 (4), 175–187. doi:10.1124/mi.9.4.6
George, T. P., Chawarski, M. C., Pakes, J., Carroll, K. M., Kosten, T. R., and Schottenfeld, R. S. (2000). Disulfiram versus Placebo for Cocaine Dependence in Buprenorphine-Maintained Subjects: a Preliminary Trial. Biol. Psychiatry 47 (12), 1080–1086. doi:10.1016/s0006-3223(99)00310-8
Ghasemzadeh, M. B., Vasudevan, P., Mueller, C. R., Seubert, C., and Mantsch, J. R. (2009). Region-specific Alterations in Glutamate Receptor Expression and Subcellular Distribution Following Extinction of Cocaine Self-Administration. Brain Res. 1267, 89–102. doi:10.1016/j.brainres.2009.01.047
Gilbert, J. G., Newman, A. H., Gardner, E. L., Ashby, C. R., Heidbreder, C. A., Pak, A. C., et al. (2005). Acute Administration of SB-277011A, NGB 2904, or BP 897 Inhibits Cocaine Cue-Induced Reinstatement of Drug-Seeking Behavior in Rats: Role of Dopamine D3 Receptors. Synapse 57 (1), 17–28. doi:10.1002/syn.20152
Goeders, N. E., and Guerin, G. F. (2000). Effects of the CRH Receptor Antagonist CP-154, 526 on Intravenous Cocaine Self-Administration in Rats. Neuropsychopharmacology 23 (5), 577–586. doi:10.1016/S0893-133X(00)00148-2
Goldstein, M., Anagnoste, B., Lauber, E., and McKeregham, M. R. (1964). Inhibition of Dopamine-Beta-Hydroxylase by Disulfiram. Life Sci. 3, 763–767. doi:10.1016/0024-3205(64)90031-1
Goldstein, R. Z., and Volkow, N. D. (2011). Dysfunction of the Prefrontal Cortex in Addiction: Neuroimaging Findings and Clinical Implications. Nat. Rev. Neurosci. 12 (11), 652–669. doi:10.1038/nrn3119
Grabowski, J., Rhoades, H., Schmitz, J., Stotts, A., Daruzska, L. A., Creson, D., et al. (2001). Dextroamphetamine for Cocaine-Dependence Treatment: a Double-Blind Randomized Clinical Trial. J. Clin. Psychopharmacol. 21 (5), 522–526. doi:10.1097/00004714-200110000-00010
Grabowski, J., Rhoades, H., Stotts, A., Cowan, K., Kopecky, C., Dougherty, A., et al. (2004). Agonist-like or Antagonist-like Treatment for Cocaine Dependence with Methadone for Heroin Dependence: Two Double-Blind Randomized Clinical Trials. Neuropsychopharmacology 29 (5), 969–981. doi:10.1038/sj.npp.1300392
Hall, W., Carter, A., and Forlini, C. (2015). The Brain Disease Model of Addiction: Is it Supported by the Evidence and Has it Delivered on its Promises? Lancet. Psychiatry 2 (1), 105–110. doi:10.1016/S2215-0366(14)00126-6
Haney, M., Rubin, E., and Foltin, R. W. (2011). Aripiprazole Maintenance Increases Smoked Cocaine Self-Administration in Humans. Psychopharmacol. Berl. 216 (3), 379–387. doi:10.1007/s00213-011-2231-6
Hanley, J. G. (2008). PICK1: a Multi-Talented Modulator of AMPA Receptor Trafficking. Pharmacol. Ther. 118 (1), 152–160. doi:10.1016/j.pharmthera.2008.02.002
Hanley, M. J., and Kenna, G. A. (2008). Quetiapine: Treatment for Substance Abuse and Drug of Abuse. Am. J. Health. Syst. Pharm. 65 (7), 611–618. doi:10.2146/ajhp070112
Hart, C. L., Haney, M., Vosburg, S. K., Rubin, E., and Foltin, R. W. (2008). Smoked Cocaine Self-Administration Is Decreased by Modafinil. Neuropsychopharmacology 33 (4), 761–768. doi:10.1038/sj.npp.1301472
Hays, J. T., and Ebbert, J. O. (2008). Varenicline for Tobacco Dependence. N. Engl. J. Med. 359 (19), 2018–2024. doi:10.1056/NEJMct0800146
Heidbreder, C. (2005). Novel Pharmacotherapeutic Targets for the Management of Drug Addiction. Eur. J. Pharmacol. 526 (1-3), 101–112. doi:10.1016/j.ejphar.2005.09.038
Heilig, M., Epstein, D. H., Nader, M. A., and Shaham, Y. (2016). Time to Connect: Bringing Social Context into Addiction Neuroscience. Nat. Rev. Neurosci. 17 (9), 592–599. doi:10.1038/nrn.2016.67
Heinzerling, K. G., Gadzhyan, J., van Oudheusden, H., Rodriguez, F., McCracken, J., and Shoptaw, S. (2013). Pilot Randomized Trial of Bupropion for Adolescent Methamphetamine Abuse/dependence. J. Adolesc. Health. 52 (4), 502–505. doi:10.1016/j.jadohealth.2012.10.275
Heinzerling, K. G., Swanson, A. N., Hall, T. M., Yi, Y., Wu, Y., and Shoptaw, S. J. (2014). Randomized, Placebo-Controlled Trial of Bupropion in Methamphetamine-dependent Participants with Less Than Daily Methamphetamine Use. Addiction 109 (11), 1878–1886. doi:10.1111/add.12636
Hiranita, T., Kohut, S. J., Soto, P. L., Tanda, G., Kopajtic, T. A., and Katz, J. L. (2014). Preclinical Efficacy of N-Substituted Benztropine Analogs as Antagonists of Methamphetamine Self-Administration in Rats. J. Pharmacol. Exp. Ther. 348 (1), 174–191. doi:10.1124/jpet.113.208264
Hiranita, T., Soto, P. L., Newman, A. H., and Katz, J. L. (2009). Assessment of Reinforcing Effects of Benztropine Analogs and Their Effects on Cocaine Self-Administration in Rats: Comparisons with Monoamine Uptake Inhibitors. J. Pharmacol. Exp. Ther. 329 (2), 677–686. doi:10.1124/jpet.108.145813
Hollmann, M., and Heinemann, S. (1994). Cloned Glutamate Receptors. Annu. Rev. Neurosci. 17, 31–108. doi:10.1146/annurev.ne.17.030194.000335
Howell, L. L., and Negus, S. S. (2014). Monoamine Transporter Inhibitors and Substrates as Treatments for Stimulant Abuse. Adv. Pharmacol. 69, 129–176. doi:10.1016/B978-0-12-420118-7.00004-4
Jensen, K. L., Sorensen, G., Dencker, D., Owens, W. A., Rahbek-Clemmensen, T., Brett Lever, M., et al. (2018). PICK1-Deficient Mice Exhibit Impaired Response to Cocaine and Dysregulated Dopamine Homeostasis. eNeuro 5 (3), ENEURO.0422 17.2018. doi:10.1523/ENEURO.0422-17.2018
Jin, X., Semenova, S., Yang, L., Ardecky, R., Sheffler, D. J., Dahl, R., et al. (2010). The mGluR2 Positive Allosteric Modulator BINA Decreases Cocaine Self-Administration and Cue-Induced Cocaine-Seeking and Counteracts Cocaine-Induced Enhancement of Brain Reward Function in Rats. Neuropsychopharmacology 35 (10), 2021–2036. doi:10.1038/npp.2010.82
Jordan, C. J., Cao, J., Newman, A. H., and Xi, Z. X. (2019a). Progress in Agonist Therapy for Substance Use Disorders: Lessons Learned from Methadone and Buprenorphine. Neuropharmacology 158, 107609. doi:10.1016/j.neuropharm.2019.04.015
Jordan, C. J., Humburg, B. A., Thorndike, E. B., Shaik, A. B., Xi, Z. X., Baumann, M. H., et al. (2019b). Newly Developed Dopamine D3 Receptor Antagonists, R-VK4-40 and R-VK4-116, Do Not Potentiate Cardiovascular Effects of Cocaine or Oxycodone in Rats. J. Pharmacol. Exp. Ther. 371 (3), 602–614. doi:10.1124/jpet.119.259390
Jupp, B., and Lawrence, A. J. (2010). New Horizons for Therapeutics in Drug and Alcohol Abuse. Pharmacol. Ther. 125 (1), 138–168. doi:10.1016/j.pharmthera.2009.11.002
Justinova, Z., Le Foll, B., Redhi, G. H., Markou, A., and Goldberg, S. R. (2016). Differential Effects of the Metabotropic Glutamate 2/3 Receptor Agonist LY379268 on Nicotine versus Cocaine Self-Administration and Relapse in Squirrel Monkeys. Psychopharmacol. Berl. 233 (10), 1791–1800. doi:10.1007/s00213-015-3994-y
Kalivas, P. W. (2009). The Glutamate Homeostasis Hypothesis of Addiction. Nat. Rev. Neurosci. 10 (8), 561–572. doi:10.1038/nrn2515
Kalivas, P. W., and Volkow, N. D. (2011). New Medications for Drug Addiction Hiding in Glutamatergic Neuroplasticity. Mol. Psychiatry 16 (10), 974–986. doi:10.1038/mp.2011.46
Kampman, K., and Jarvis, M. (2015). American Society of Addiction Medicine (ASAM) National Practice Guideline for the Use of Medications in the Treatment of Addiction Involving Opioid Use. J. Addict. Med. 9 (5), 358–367. doi:10.1097/ADM.0000000000000166
Kampman, K. M., Lynch, K. G., Pettinati, H. M., Spratt, K., Wierzbicki, M. R., Dackis, C., et al. (2015). A Double Blind, Placebo Controlled Trial of Modafinil for the Treatment of Cocaine Dependence without Co-morbid Alcohol Dependence. Drug Alcohol Depend. 155, 105–110. doi:10.1016/j.drugalcdep.2015.08.005
Kampman, K. M., Pettinati, H., Lynch, K. G., Dackis, C., Sparkman, T., Weigley, C., et al. (2004). A Pilot Trial of Topiramate for the Treatment of Cocaine Dependence. Drug Alcohol Depend. 75 (3), 233–240. doi:10.1016/j.drugalcdep.2004.03.008
Kenny, P. J., and Markou, A. (2004). The Ups and Downs of Addiction: Role of Metabotropic Glutamate Receptors. Trends Pharmacol. Sci. 25 (5), 265–272. doi:10.1016/j.tips.2004.03.009
Knackstedt, L. A., Melendez, R. I., and Kalivas, P. W. (2010). Ceftriaxone Restores Glutamate Homeostasis and Prevents Relapse to Cocaine Seeking. Biol. Psychiatry 67 (1), 81–84. doi:10.1016/j.biopsych.2009.07.018
Koob, G. F., Kenneth Lloyd, G., and Mason, B. J. (2009). Development of Pharmacotherapies for Drug Addiction: a Rosetta Stone Approach. Nat. Rev. Drug Discov. 8 (6), 500–515. doi:10.1038/nrd2828
Koob, G. F., and Volkow, N. D. (2016). Neurobiology of Addiction: a Neurocircuitry Analysis. Lancet. Psychiatry 3 (8), 760–773. doi:10.1016/S2215-0366(16)00104-8
Kosten, T. R., Kosten, T. A., McDougle, C. J., Hameedi, F. A., McCance, E. F., Rosen, M. I., et al. (1996). Gender Differences in Response to Intranasal Cocaine Administration to Humans. Biol. Psychiatry 39 (2), 147–148. doi:10.1016/0006-3223(95)00386-X
Kosten, T. R., Wu, G., Huang, W., Harding, M. J., Hamon, S. C., Lappalainen, J., et al. (2013). Pharmacogenetic Randomized Trial for Cocaine Abuse: Disulfiram and Dopamine Beta-Hydroxylase. Biol. Psychiatry 73 (3), 219–224. doi:10.1016/j.biopsych.2012.07.011
Kourrich, S., Rothwell, P. E., Klug, J. R., and Thomas, M. J. (2007). Cocaine Experience Controls Bidirectional Synaptic Plasticity in the Nucleus Accumbens. J. Neurosci. 27 (30), 7921–7928. doi:10.1523/JNEUROSCI.1859-07.2007
Kumaresan, V., Yuan, M., Yee, J., Famous, K. R., Anderson, S. M., Schmidt, H. D., et al. (2009). Metabotropic Glutamate Receptor 5 (mGluR5) Antagonists Attenuate Cocaine Priming- and Cue-Induced Reinstatement of Cocaine Seeking. Behav. Brain Res. 202 (2), 238–244. doi:10.1016/j.bbr.2009.03.039
LaCrosse, A. L., Hill, K., and Knackstedt, L. A. (2016). Ceftriaxone Attenuates Cocaine Relapse after Abstinence through Modulation of Nucleus Accumbens AMPA Subunit Expression. Eur. Neuropsychopharmacol. 26 (2), 186–194. doi:10.1016/j.euroneuro.2015.12.022
LaRowe, S. D., Kalivas, P. W., Nicholas, J. S., Randall, P. K., Mardikian, P. N., and Malcolm, R. J. (2013). A Double-Blind Placebo-Controlled Trial of N-Acetylcysteine in the Treatment of Cocaine Dependence. Am. J. Addict. 22 (5), 443–452. doi:10.1111/j.1521-0391.2013.12034.x
Le Foll, B., Collo, G., Rabiner, E. A., Boileau, I., Merlo Pich, E., and Sokoloff, P. (2014). Dopamine D3 Receptor Ligands for Drug Addiction Treatment: Update on Recent Findings. Prog. Brain Res. 211, 255–275. doi:10.1016/B978-0-444-63425-2.00011-8
Lee, S. G., Su, Z. Z., Emdad, L., Gupta, P., Sarkar, D., Borjabad, A., et al. (2008). Mechanism of Ceftriaxone Induction of Excitatory Amino Acid Transporter-2 Expression and Glutamate Uptake in Primary Human Astrocytes. J. Biol. Chem. 283 (19), 13116–13123. doi:10.1074/jbc.M707697200
Lewis, M. (2018). Brain Change in Addiction as Learning, Not Disease. N. Engl. J. Med. 379 (16), 1551–1560. doi:10.1056/NEJMra1602872
Li, X., Li, J., Peng, X. Q., Spiller, K., Gardner, E. L., and Xi, Z. X. (2009). Metabotropic Glutamate Receptor 7 Modulates the Rewarding Effects of Cocaine in Rats: Involvement of a Ventral Pallidal GABAergic Mechanism. Neuropsychopharmacology 34 (7), 1783–1796. doi:10.1038/npp.2008.236
Li, X., and Markou, A. (2015). Metabotropic Glutamate Receptor 7 (mGluR7) as a Target for the Treatment of Psychostimulant Dependence. CNS Neurol. Disord. Drug Targets 14 (6), 738–744. doi:10.2174/1871527314666150529145332
Liechti, M. E., Lhuillier, L., Kaupmann, K., and Markou, A. (2007). Metabotropic Glutamate 2/3 Receptors in the Ventral Tegmental Area and the Nucleus Accumbens Shell Are Involved in Behaviors Relating to Nicotine Dependence. J. Neurosci. 27 (34), 9077–9085. doi:10.1523/JNEUROSCI.1766-07.2007
Loland, C. J., Mereu, M., Okunola, O. M., Cao, J., Prisinzano, T. E., Mazier, S., et al. (2012). R-Modafinil (Armodafinil): a Unique Dopamine Uptake Inhibitor and Potential Medication for Psychostimulant Abuse. Biol. Psychiatry 72 (5), 405–413. doi:10.1016/j.biopsych.2012.03.022
Longo, M., Wickes, W., Smout, M., Harrison, S., Cahill, S., and White, J. M. (2010). Randomized Controlled Trial of Dexamphetamine Maintenance for the Treatment of Methamphetamine Dependence. Addiction 105 (1), 146–154. doi:10.1111/j.1360-0443.2009.02717.x
Loweth, J. A., Scheyer, A. F., Milovanovic, M., LaCrosse, A. L., Flores-Barrera, E., Werner, C. T., et al. (2014). Synaptic Depression via mGluR1 Positive Allosteric Modulation Suppresses Cue-Induced Cocaine Craving. Nat. Neurosci. 17 (1), 73–80. doi:10.1038/nn.3590
Lu, L., Liu, Z., Huang, M., and Zhang, Z. (2003). Dopamine-dependent Responses to Cocaine Depend on Corticotropin-Releasing Factor Receptor Subtypes. J. Neurochem. 84 (6), 1378–1386. doi:10.1046/j.1471-4159.2003.01635.x
Luscher, C., and Malenka, R. C. (2011). Drug-evoked Synaptic Plasticity in Addiction: from Molecular Changes to Circuit Remodeling. Neuron 69 (4), 650–663. doi:10.1016/j.neuron.2011.01.017
Luscher, C., Xia, H., Beattie, E. C., Carroll, R. C., von Zastrow, M., Malenka, R. C., et al. (1999). Role of AMPA Receptor Cycling in Synaptic Transmission and Plasticity. Neuron 24 (3), 649–658. doi:10.1016/s0896-6273(00)81119-8
Lynch, W. J., Kalayasiri, R., Sughondhabirom, A., Pittman, B., Coric, V., Morgan, P. T., et al. (2008). Subjective Responses and Cardiovascular Effects of Self-Administered Cocaine in Cocaine-Abusing Men and Women. Addict. Biol. 13 (3-4), 403–410. doi:10.1111/j.1369-1600.2008.00115.x
Madayag, A., Lobner, D., Kau, K. S., Mantsch, J. R., Abdulhameed, O., Hearing, M., et al. (2007). Repeated N-Acetylcysteine Administration Alters Plasticity-dependent Effects of Cocaine. J. Neurosci. 27 (51), 13968–13976. doi:10.1523/JNEUROSCI.2808-07.2007
Mahler, S. V., Hensley-Simon, M., Tahsili-Fahadan, P., LaLumiere, R. T., Thomas, C., Fallon, R. V., et al. (2014). Modafinil Attenuates Reinstatement of Cocaine Seeking: Role for Cystine-Glutamate Exchange and Metabotropic Glutamate Receptors. Addict. Biol. 19 (1), 49–60. doi:10.1111/j.1369-1600.2012.00506.x
Mahoney, J. J., Kalechstein, A. D., Verrico, C. D., Arnoudse, N. M., Shapiro, B. A., and De La Garza, R. (2014). Preliminary Findings of the Effects of Rivastigmine, an Acetylcholinesterase Inhibitor, on Working Memory in Cocaine-dependent Volunteers. Prog. Neuropsychopharmacol. Biol. Psychiatry 50, 137–142. doi:10.1016/j.pnpbp.2013.11.001
Malinow, R., and Malenka, R. C. (2002). AMPA Receptor Trafficking and Synaptic Plasticity. Annu. Rev. Neurosci. 25, 103–126. doi:10.1146/annurev.neuro.25.112701.142758
Matuskey, D., Gallezot, J. D., Pittman, B., Williams, W., Wanyiri, J., Gaiser, E., et al. (2014). Dopamine D₃ Receptor Alterations in Cocaine-dependent Humans Imaged with [¹¹C](+)PHNO. Drug Alcohol Depend. 139, 100–105. doi:10.1016/j.drugalcdep.2014.03.013
Meng, Z. H., Feldpaush, D. L., and Merchant, K. M. (1998). Clozapine and Haloperidol Block the Induction of Behavioral Sensitization to Amphetamine and Associated Genomic Responses in Rats. Brain Res. Mol. Brain Res. 61 (1-2), 39–50. doi:10.1016/s0169-328x(98)00196-x
Mihov, Y., and Hasler, G. (2016). Negative Allosteric Modulators of Metabotropic Glutamate Receptors Subtype 5 in Addiction: a Therapeutic Window. Int. J. Neuropsychopharmacol. 19 (7), pyw002. doi:10.1093/ijnp/pyw002
Milton, A. L., and Everitt, B. J. (2010). The Psychological and Neurochemical Mechanisms of Drug Memory Reconsolidation: Implications for the Treatment of Addiction. Eur. J. Neurosci. 31 (12), 2308–2319. doi:10.1111/j.1460-9568.2010.07249.x
Minzenberg, M. J., and Carter, C. S. (2008). Modafinil: a Review of Neurochemical Actions and Effects on Cognition. Neuropsychopharmacology 33 (7), 1477–1502. doi:10.1038/sj.npp.1301534
Mitsukawa, K., Yamamoto, R., Ofner, S., Nozulak, J., Pescott, O., Lukic, S., et al. (2005). A Selective Metabotropic Glutamate Receptor 7 Agonist: Activation of Receptor Signaling via an Allosteric Site Modulates Stress Parameters In Vivo. Proc. Natl. Acad. Sci. U. S. A. 102 (51), 18712–18717. doi:10.1073/pnas.0508063102
Morley, K. C., Cornish, J. L., Faingold, A., Wood, K., and Haber, P. S. (2017). Pharmacotherapeutic Agents in the Treatment of Methamphetamine Dependence. Expert Opin. Investig. Drugs 26 (5), 563–578. doi:10.1080/13543784.2017.1313229
Mulholland, P. J., Chandler, L. J., and Kalivas, P. W. (2016). Signals from the Fourth Dimension Regulate Drug Relapse. Trends Neurosci. 39 (7), 472–485. doi:10.1016/j.tins.2016.04.007
Nawata, Y., Kitaichi, K., and Yamamoto, T. (2012). Increases of CRF in the Amygdala Are Responsible for Reinstatement of Methamphetamine-Seeking Behavior Induced by Footshock. Pharmacol. Biochem. Behav. 101 (2), 297–302. doi:10.1016/j.pbb.2012.01.003
Negus, S. S., and Henningfield, J. (2015). Agonist Medications for the Treatment of Cocaine Use Disorder. Neuropsychopharmacology 40 (8), 1815–1825. doi:10.1038/npp.2014.322
Negus, S. S., and Mello, N. K. (2003). Effects of Chronic D-Amphetamine Treatment on Cocaine- and Food-Maintained Responding under a Progressive-Ratio Schedule in Rhesus Monkeys. Psychopharmacol. Berl. 167 (3), 324–332. doi:10.1007/s00213-003-1409-y
Newman, A. H., Ku, T., Jordan, C. J., Bonifazi, A., and Xi, Z. X. (2021). New Drugs, Old Targets: Tweaking the Dopamine System to Treat Psychostimulant Use Disorders. Annu. Rev. Pharmacol. Toxicol. 61, 609–628. doi:10.1146/annurev-pharmtox-030220-124205
Newman, A. H., Xi, Z. X., and Heidbreder, C. (2022). Current Perspectives on Selective Dopamine D3 Receptor Antagonists/Partial Agonists as Pharmacotherapeutics for Opioid and Psychostimulant Use Disorders. Curr. Top. Behav. Neurosci [online ahead of print]. doi:10.1007/7854_2022_347
Newton, T. F., Roache, J. D., De La Garza, R., Fong, T., Wallace, C. L., Li, S. H., et al. (2006). Bupropion Reduces Methamphetamine-Induced Subjective Effects and Cue-Induced Craving. Neuropsychopharmacology 31 (7), 1537–1544. doi:10.1038/sj.npp.1300979
Nich, C., McCance-Katz, E. F., Petrakis, I. L., Cubells, J. F., Rounsaville, B. J., and Carroll, K. M. (2004). Sex Differences in Cocaine-dependent Individuals' Response to Disulfiram Treatment. Addict. Behav. 29 (6), 1123–1128. doi:10.1016/j.addbeh.2004.03.004
Nishimune, A., Isaac, J. T., Molnar, E., Noel, J., Nash, S. R., Tagaya, M., et al. (1998). NSF Binding to GluR2 Regulates Synaptic Transmission. Neuron 21 (1), 87–97. doi:10.1016/s0896-6273(00)80517-6
Nuijten, M., Blanken, P., van de Wetering, B., Nuijen, B., van den Brink, W., and Hendriks, V. M. (2016). Sustained-release Dexamfetamine in the Treatment of Chronic Cocaine-dependent Patients on Heroin-Assisted Treatment: a Randomised, Double-Blind, Placebo-Controlled Trial. Lancet 387 (10034), 2226–2234. doi:10.1016/S0140-6736(16)00205-1
Olive, M. F. (2009). Metabotropic Glutamate Receptor Ligands as Potential Therapeutics for Addiction. Curr. Drug Abuse Rev. 2 (1), 83–98. doi:10.2174/1874473710902010083
Ouzir, M., and Errami, M. (2016). Etiological Theories of Addiction: A Comprehensive Update on Neurobiological, Genetic and Behavioural Vulnerability. Pharmacol. Biochem. Behav. 148, 59–68. doi:10.1016/j.pbb.2016.06.005
Pani, P. P., Trogu, E., Vacca, R., Amato, L., Vecchi, S., and Davoli, M. (2010). Disulfiram for the Treatment of Cocaine Dependence. Cochrane Database Syst. Rev. 1, CD007024. doi:10.1002/14651858.CD007024.pub2
Passamonti, L., Luijten, M., Ziauddeen, H., Coyle-Gilchrist, I. T. S., Rittman, T., Brain, S. A. E., et al. (2017). Atomoxetine Effects on Attentional Bias to Drug-Related Cues in Cocaine Dependent Individuals. Psychopharmacol. Berl. 234 (15), 2289–2297. doi:10.1007/s00213-017-4643-4
Patriarchi, T., Cho, J. R., Merten, K., Howe, M. W., Marley, A., Xiong, W. H., et al. (2018). Ultrafast Neuronal Imaging of Dopamine Dynamics with Designed Genetically Encoded Sensors. Science 360, eaat4422. doi:10.1126/science.aat4422
Penetar, D. M., Looby, A. R., Su, Z., Lundahl, L. H., Eros-Sarnyai, M., McNeil, J. F., et al. (2006). Benztropine Pretreatment Does Not Affect Responses to Acute Cocaine Administration in Human Volunteers. Hum. Psychopharmacol. 21 (8), 549–559. doi:10.1002/hup.810
Pike, E., Stoops, W. W., Hays, L. R., Glaser, P. E., and Rush, C. R. (2014). Methamphetamine Self-Administration in Humans during D-Amphetamine Maintenance. J. Clin. Psychopharmacol. 34 (6), 675–681. doi:10.1097/JCP.0000000000000207
Przegalinski, E., Filip, M., Frankowska, M., Zaniewska, M., and Papla, I. (2005). Effects of CP 154, 526, a CRF1 Receptor Antagonist, on Behavioral Responses to Cocaine in Rats. Neuropeptides 39 (5), 525–533. doi:10.1016/j.npep.2005.07.002
Quintero, G. C. (2013). Role of Nucleus Accumbens Glutamatergic Plasticity in Drug Addiction. Neuropsychiatr. Dis. Treat. 9, 1499–1512. doi:10.2147/NDT.S45963
Ranaldi, R., Wang, Z., and Woolverton, W. L. (2001). Reinforcing Effects of D2 Dopamine Receptor Agonists and Partial Agonists in Rhesus Monkeys. Drug Alcohol Depend. 64 (2), 209–217. doi:10.1016/s0376-8716(01)00124-7
Reichel, C. M., Linkugel, J. D., and Bevins, R. A. (2008). Bupropion Differentially Impacts Acquisition of Methamphetamine Self-Administration and Sucrose-Maintained Behavior. Pharmacol. Biochem. Behav. 89 (3), 463–472. doi:10.1016/j.pbb.2008.02.002
Reichel, C. M., Moussawi, K., Do, P. H., Kalivas, P. W., and See, R. E. (2011). Chronic N-Acetylcysteine during Abstinence or Extinction after Cocaine Self-Administration Produces Enduring Reductions in Drug Seeking. J. Pharmacol. Exp. Ther. 337 (2), 487–493. doi:10.1124/jpet.111.179317
Reichel, C. M., Murray, J. E., Grant, K. M., and Bevins, R. A. (2009). Bupropion Attenuates Methamphetamine Self-Administration in Adult Male Rats. Drug Alcohol Depend. 100 (1-2), 54–62. doi:10.1016/j.drugalcdep.2008.09.006
Reinbold, E. D., Scholl, J. L., Oliver, K. M., Watt, M. J., and Forster, G. L. (2014). Central CRF2 Receptor Antagonism Reduces Anxiety States during Amphetamine Withdrawal. Neurosci. Res. 89, 37–43. doi:10.1016/j.neures.2014.08.010
Reissner, K. J., Gipson, C. D., Tran, P. K., Knackstedt, L. A., Scofield, M. D., and Kalivas, P. W. (2015). Glutamate Transporter GLT-1 Mediates N-Acetylcysteine Inhibition of Cocaine Reinstatement. Addict. Biol. 20 (2), 316–323. doi:10.1111/adb.12127
Reith, M. E., Blough, B. E., Hong, W. C., Jones, K. T., Schmitt, K. C., Baumann, M. H., et al. (2015). Behavioral, Biological, and Chemical Perspectives on Atypical Agents Targeting the Dopamine Transporter. Drug Alcohol Depend. 147, 1–19. doi:10.1016/j.drugalcdep.2014.12.005
Richter, R. M., and Weiss, F. (1999). In Vivo CRF Release in Rat Amygdala Is Increased during Cocaine Withdrawal in Self-Administering Rats. Synapse 32 (4), 254–261. doi:10.1002/(SICI)1098-2396(19990615)32:4<254::AID-SYN2>3.0.CO;2-H
Roberts, D. C., and Vickers, G. (1984). Atypical Neuroleptics Increase Self-Administration of Cocaine: an Evaluation of a Behavioural Screen for Antipsychotic Activity. Psychopharmacol. Berl. 82 (1-2), 135–139. doi:10.1007/BF00426397
Robinson, E. S., Eagle, D. M., Mar, A. C., Bari, A., Banerjee, G., Jiang, X., et al. (2008). Similar Effects of the Selective Noradrenaline Reuptake Inhibitor Atomoxetine on Three Distinct Forms of Impulsivity in the Rat. Neuropsychopharmacology 33 (5), 1028–1037. doi:10.1038/sj.npp.1301487
Roman, V., Gyertyan, I., Saghy, K., Kiss, B., and Szombathelyi, Z. (2013). Cariprazine (RGH-188), a D₃-preferring Dopamine D₃/D₂ Receptor Partial Agonist Antipsychotic Candidate Demonstrates Anti-abuse Potential in Rats. Psychopharmacol. Berl. 226 (2), 285–293. doi:10.1007/s00213-012-2906-7
Rosenmund, C., Stern-Bach, Y., and Stevens, C. F. (1998). The Tetrameric Structure of a Glutamate Receptor Channel. Science 280 (5369), 1596–1599. doi:10.1126/science.280.5369.1596
Rowe, D. L. (2007). Off-label Prescription of Quetiapine in Psychiatric Disorders. Expert Rev. Neurother. 7 (7), 841–852. doi:10.1586/14737175.7.7.841
Runegaard, A. H., Jensen, K. L., Dencker, D., Wortwein, G., and Gether, U. (2017). Subjective Perception of Cocaine Reward in Mice Assessed by a Single Exposure Place Preference (sePP) Paradigm. J. Neurosci. Methods 289, 85–92. doi:10.1016/j.jneumeth.2017.07.010
Rush, C. R., Stoops, W. W., Sevak, R. J., and Hays, L. R. (2010). Cocaine Choice in Humans during D-Amphetamine Maintenance. J. Clin. Psychopharmacol. 30 (2), 152–159. doi:10.1097/JCP.0b013e3181d21967
Scheyer, A. F., Loweth, J. A., Christian, D. T., Uejima, J., Rabei, R., Le, T., et al. (2016). AMPA Receptor Plasticity in Accumbens Core Contributes to Incubation of Methamphetamine Craving. Biol. Psychiatry 80 (9), 661–670. doi:10.1016/j.biopsych.2016.04.003
Schmidt, H. D., and Pierce, R. C. (2010). Cocaine-induced Neuroadaptations in Glutamate Transmission: Potential Therapeutic Targets for Craving and Addiction. Ann. N. Y. Acad. Sci. 1187, 35–75. doi:10.1111/j.1749-6632.2009.05144.x
Schmitt, K. C., Zhen, J., Kharkar, P., Mishra, M., Chen, N., Dutta, A. K., et al. (2008). Interaction of Cocaine-Benztropine-And GBR12909-like Compounds with Wild-type and Mutant Human Dopamine Transporters: Molecular Features that Differentially Determine Antagonist-Binding Properties. J. Neurochem. 107 (4), 928–940. doi:10.1111/j.1471-4159.2008.05667.x
Schultz, W. (2006). Behavioral Theories and the Neurophysiology of Reward. Annu. Rev. Psychol. 57, 87–115. doi:10.1146/annurev.psych.56.091103.070229
Seibyl, J. P., Satel, S. L., Anthony, D., Southwick, S. M., Krystal, J. H., and Charney, D. S. (1993). Effects of Cocaine on Hospital Course in Schizophrenia. J. Nerv. Ment. Dis. 181 (1), 31–37. doi:10.1097/00005053-199301000-00006
Self, D. W., and Stein, L. (1992). The D1 Agonists SKF 82958 and SKF 77434 Are Self-Administered by Rats. Brain Res. 582 (2), 349–352. doi:10.1016/0006-8993(92)90155-3
Seu, E., Lang, A., Rivera, R. J., and Jentsch, J. D. (2009). Inhibition of the Norepinephrine Transporter Improves Behavioral Flexibility in Rats and Monkeys. Psychopharmacol. Berl. 202 (1-3), 505–519. doi:10.1007/s00213-008-1250-4
Shepherd, J. D., and Huganir, R. L. (2007). The Cell Biology of Synaptic Plasticity: AMPA Receptor Trafficking. Annu. Rev. Cell. Dev. Biol. 23, 613–643. doi:10.1146/annurev.cellbio.23.090506.123516
Singh, M., Keer, D., Klimas, J., Wood, E., and Werb, D. (2016). Topiramate for Cocaine Dependence: a Systematic Review and Meta-Analysis of Randomized Controlled Trials. Addiction 111 (8), 1337–1346. doi:10.1111/add.13328
Smethells, J. R., Swalve, N. L., Eberly, L. E., and Carroll, M. E. (2016). Sex Differences in the Reduction of Impulsive Choice (Delay Discounting) for Cocaine in Rats with Atomoxetine and Progesterone. Psychopharmacol. Berl. 233 (15-16), 2999–3008. doi:10.1007/s00213-016-4345-3
Sofuoglu, M., and Carroll, K. M. (2011). Effects of Galantamine on Cocaine Use in Chronic Cocaine Users. Am. J. Addict. 20 (3), 302–303. doi:10.1111/j.1521-0391.2011.00130.x
Sofuoglu, M. (2010). Cognitive Enhancement as a Pharmacotherapy Target for Stimulant Addiction. Addiction 105 (1), 38–48. doi:10.1111/j.1360-0443.2009.02791.x
Sofuoglu, M., DeVito, E. E., Waters, A. J., and Carroll, K. M. (2016). Cognitive Function as a Transdiagnostic Treatment Target in Stimulant Use Disorders. J. Dual Diagn. 12 (1), 90–106. doi:10.1080/15504263.2016.1146383
Sofuoglu, M., Waters, A. J., Poling, J., and Carroll, K. M. (2011). Galantamine Improves Sustained Attention in Chronic Cocaine Users. Exp. Clin. Psychopharmacol. 19 (1), 11–19. doi:10.1037/a0022213
Sondheimer, I., and Knackstedt, L. A. (2011). Ceftriaxone Prevents the Induction of Cocaine Sensitization and Produces Enduring Attenuation of Cue- and Cocaine-Primed Reinstatement of Cocaine-Seeking. Behav. Brain Res. 225 (1), 252–258. doi:10.1016/j.bbr.2011.07.041
Spanagel, R. (2017). Animal Models of Addiction. Dialogues Clin. Neurosci. 19 (3), 247–258. doi:10.31887/dcns.2017.19.3/rspanagel
Specio, S. E., Wee, S., O'Dell, L. E., Boutrel, B., Zorrilla, E. P., and Koob, G. F. (2008). CRF(1) Receptor Antagonists Attenuate Escalated Cocaine Self-Administration in Rats. Psychopharmacol. Berl. 196 (3), 473–482. doi:10.1007/s00213-007-0983-9
Stahl, S. M., Pradko, J. F., Haight, B. R., Modell, J. G., Rockett, C. B., and Learned-Coughlin, S. (2004). A Review of the Neuropharmacology of Bupropion, a Dual Norepinephrine and Dopamine Reuptake Inhibitor. Prim. Care Companion J. Clin. Psychiatry 6 (4), 159–166. doi:10.4088/pcc.v06n0403
Stoops, W. W., Lile, J. A., Glaser, P. E., Hays, L. R., and Rush, C. R. (2012). Influence of Acute Bupropion Pre-treatment on the Effects of Intranasal Cocaine. Addiction 107 (6), 1140–1147. doi:10.1111/j.1360-0443.2011.03766.x
Stoops, W. W., Lile, J. A., Glaser, P. E., and Rush, C. R. (2006). A Low Dose of Aripiprazole Attenuates the Subject-Rated Effects of D-Amphetamine. Drug Alcohol Depend. 84 (2), 206–209. doi:10.1016/j.drugalcdep.2006.02.004
Sulaiman, A. H., Gill, J. S., Said, M. A., Zainal, N. Z., Hussein, H. M., and Guan, N. C. (2013). A Randomized, Placebo-Controlled Trial of Aripiprazole for the Treatment of Methamphetamine Dependence and Associated Psychosis. Int. J. Psychiatry Clin. Pract. 17 (2), 131–138. doi:10.3109/13651501.2012.667116
Sun, F., Zeng, J., Jing, M., Zhou, J., Feng, J., Owen, S. F., et al. (2018). A Genetically Encoded Fluorescent Sensor Enables Rapid and Specific Detection of Dopamine in Flies, Fish, and Mice. Cell. 174 (2), 481–496.e19. doi:10.1016/j.cell.2018.06.042
Sunitha, K., Hemshekhar, M., Thushara, R. M., Santhosh, M. S., Yariswamy, M., Kemparaju, K., et al. (2013). N-acetylcysteine Amide: a Derivative to Fulfill the Promises of N-Acetylcysteine. Free Radic. Res. 47 (5), 357–367. doi:10.3109/10715762.2013.781595
Swalve, N., Smethells, J. R., Zlebnik, N. E., and Carroll, M. E. (2016). Sex Differences in Reinstatement of Cocaine-Seeking with Combination Treatments of Progesterone and Atomoxetine. Pharmacol. Biochem. Behav. 145, 17–23. doi:10.1016/j.pbb.2016.03.008
Sweeney, J. E., Hohmann, C. F., Moran, T. H., and Coyle, J. T. (1988). A Long-Acting Cholinesterase Inhibitor Reverses Spatial Memory Deficits in Mice. Pharmacol. Biochem. Behav. 31 (1), 141–147. doi:10.1016/0091-3057(88)90325-5
Tapp, A., Wood, A. E., Kennedy, A., Sylvers, P., Kilzieh, N., and Saxon, A. J. (2015). Quetiapine for the Treatment of Cocaine Use Disorder. Drug Alcohol Depend. 149, 18–24. doi:10.1016/j.drugalcdep.2014.12.037
Thomas, M. J., Beurrier, C., Bonci, A., and Malenka, R. C. (2001). Long-term Depression in the Nucleus Accumbens: a Neural Correlate of Behavioral Sensitization to Cocaine. Nat. Neurosci. 4 (12), 1217–1223. doi:10.1038/nn757
Trivedi, M. H., Walker, R., Ling, W., Dela Cruz, A., Sharma, G., Carmody, T., et al. (2021). Bupropion and Naltrexone in Methamphetamine Use Disorder. N. Engl. J. Med. 384 (2), 140–153. doi:10.1056/NEJMoa2020214
Turner, C., De Luca, M., Wolfheimer, J., Hernandez, N., Madsen, K. L., and Schmidt, H. D. (2020). Administration of a Novel High Affinity PICK1 PDZ Domain Inhibitor Attenuates Cocaine Seeking in Rats. Neuropharmacology 164, 107901. doi:10.1016/j.neuropharm.2019.107901
Ubaldi, M., Cannella, N., and Ciccocioppo, R. (2016). Emerging Targets for Addiction Neuropharmacology: From Mechanisms to Therapeutics. Prog. Brain Res. 224, 251–284. doi:10.1016/bs.pbr.2015.07.018
Velazquez-Sanchez, C., Ferragud, A., Hernandez-Rabaza, V., Nacher, A., Merino, V., Carda, M., et al. (2009). The Dopamine Uptake Inhibitor 3 Alpha-[bis(4'-Fluorophenyl)metoxy]-Tropane Reduces Cocaine-Induced Early-Gene Expression, Locomotor Activity, and Conditioned Reward. Neuropsychopharmacology 34 (12), 2497–2507. doi:10.1038/npp.2009.78
Velazquez-Sanchez, C., Ferragud, A., Murga, J., Carda, M., and Canales, J. J. (2010). The High Affinity Dopamine Uptake Inhibitor, JHW 007, Blocks Cocaine-Induced Reward, Locomotor Stimulation and Sensitization. Eur. Neuropsychopharmacol. 20 (7), 501–508. doi:10.1016/j.euroneuro.2010.03.005
Velazquez-Sanchez, C., Ferragud, A., Ramos-Miguel, A., Garcia-Sevilla, J. A., and Canales, J. J. (2013). Substituting a Long-Acting Dopamine Uptake Inhibitor for Cocaine Prevents Relapse to Cocaine Seeking. Addict. Biol. 18 (4), 633–643. doi:10.1111/j.1369-1600.2012.00458.x
Venniro, M., Banks, M. L., Heilig, M., Epstein, D. H., and Shaham, Y. (2020). Improving Translation of Animal Models of Addiction and Relapse by Reverse Translation. Nat. Rev. Neurosci. 21 (11), 625–643. doi:10.1038/s41583-020-0378-z
Verrico, C. D., Haile, C. N., Mahoney, J. J., Thompson-Lake, D. G., Newton, T. F., and De La Garza, R. (2014). Treatment with Modafinil and Escitalopram, Alone and in Combination, on Cocaine-Induced Effects: a Randomized, Double Blind, Placebo-Controlled Human Laboratory Study. Drug Alcohol Depend. 141, 72–78. doi:10.1016/j.drugalcdep.2014.05.008
Volkow, N. D., and Koob, G. (2015). Brain Disease Model of Addiction: Why Is it So Controversial? Lancet. Psychiatry 2 (8), 677–679. doi:10.1016/S2215-0366(15)00236-9
Volkow, N. D., Koob, G. F., and McLellan, A. T. (2016). Neurobiologic Advances from the Brain Disease Model of Addiction. N. Engl. J. Med. 374 (4), 363–371. doi:10.1056/NEJMra1511480
Volkow, N. D., Wang, G. J., Fowler, J. S., Thanos, P. P., Logan, J., Gatley, S. J., et al. (2002). Brain DA D2 Receptors Predict Reinforcing Effects of Stimulants in Humans: Replication Study. Synapse 46 (2), 79–82. doi:10.1002/syn.10137
Vorel, S. R., Ashby, C. R., Paul, M., Liu, X., Hayes, R., Hagan, J. J., et al. (2002). Dopamine D3 Receptor Antagonism Inhibits Cocaine-Seeking and Cocaine-Enhanced Brain Reward in Rats. J. Neurosci. 22 (21), 9595–9603. doi:10.1523/jneurosci.22-21-09595.2002
Walsh, K. H., Das, R. K., Saladin, M. E., and Kamboj, S. K. (2018). Modulation of Naturalistic Maladaptive Memories Using Behavioural and Pharmacological Reconsolidation-Interfering Strategies: a Systematic Review and Meta-Analysis of Clinical and 'sub-Clinical' Studies. Psychopharmacol. Berl. 235 (9), 2507–2527. doi:10.1007/s00213-018-4983-8
Warnez, S., and Alessi-Severini, S. (2014). Clozapine: a Review of Clinical Practice Guidelines and Prescribing Trends. BMC Psychiatry 14, 102. doi:10.1186/1471-244X-14-102
Wee, S., Wang, Z., Woolverton, W. L., Pulvirenti, L., and Koob, G. F. (2007). Effect of Aripiprazole, a Partial Dopamine D2 Receptor Agonist, on Increased Rate of Methamphetamine Self-Administration in Rats with Prolonged Session Duration. Neuropsychopharmacology 32 (10), 2238–2247. doi:10.1038/sj.npp.1301353
Weed, M. R., and Woolverton, W. L. (1995). The Reinforcing Effects of Dopamine D1 Receptor Agonists in Rhesus Monkeys. J. Pharmacol. Exp. Ther. 275 (3), 1367–1374.
Wolf, M. E., and Ferrario, C. R. (2010). AMPA Receptor Plasticity in the Nucleus Accumbens after Repeated Exposure to Cocaine. Neurosci. Biobehav. Rev. 35 (2), 185–211. doi:10.1016/j.neubiorev.2010.01.013
Wong, W. C., Ford, K. A., Pagels, N. E., McCutcheon, J. E., and Marinelli, M. (2013). Adolescents Are More Vulnerable to Cocaine Addiction: Behavioral and Electrophysiological Evidence. J. Neurosci. 33 (11), 4913–4922. doi:10.1523/JNEUROSCI.1371-12.2013
Woolverton, W. L., Goldberg, L. I., and Ginos, J. Z. (1984). Intravenous Self-Administration of Dopamine Receptor Agonists by Rhesus Monkeys. J. Pharmacol. Exp. Ther. 230 (3), 678–683.
Xi, Z. X., Gilbert, J., Campos, A. C., Kline, N., Ashby, C. R., Hagan, J. J., et al. (2004). Blockade of Mesolimbic Dopamine D3 Receptors Inhibits Stress-Induced Reinstatement of Cocaine-Seeking in Rats. Psychopharmacol. Berl. 176 (1), 57–65. doi:10.1007/s00213-004-1858-y
Xi, Z. X., Gilbert, J. G., Pak, A. C., Ashby, C. R., Heidbreder, C. A., and Gardner, E. L. (2005). Selective Dopamine D3 Receptor Antagonism by SB-277011A Attenuates Cocaine Reinforcement as Assessed by Progressive-Ratio and Variable-Cost-Variable-Payoff Fixed-Ratio Cocaine Self-Administration in Rats. Eur. J. Neurosci. 21 (12), 3427–3438. doi:10.1111/j.1460-9568.2005.04159.x
Xie, X., Ramirez, D. R., Lasseter, H. C., and Fuchs, R. A. (2010). Effects of mGluR1 Antagonism in the Dorsal hippocampus on Drug Context-Induced Reinstatement of Cocaine-Seeking Behavior in Rats. Psychopharmacol. Berl. 208 (1), 1–11. doi:10.1007/s00213-009-1700-7
Yuan, L., Dou, Y. N., and Sun, Y. G. (2019). Topography of Reward and Aversion Encoding in the Mesolimbic Dopaminergic System. J. Neurosci. 39 (33), 6472–6481. doi:10.1523/JNEUROSCI.0271-19.2019
Zhornitsky, S., Potvin, S., Stip, E., and Rompre, P. P. (2010). Acute Quetiapine Dose-Dependently Exacerbates Anhedonia Induced by Withdrawal from Escalating Doses of D-Amphetamine. Eur. Neuropsychopharmacol. 20 (10), 695–703. doi:10.1016/j.euroneuro.2010.04.011
Keywords: psychostimulant addiction, addiction treatment, cocaine dependence treatment, amphetamine dependence treatment, clinical trial, addiction disorders, psychostimulant dependence
Citation: Jensen KL, Jensen SB and Madsen KL (2022) A mechanistic overview of approaches for the treatment of psychostimulant dependence. Front. Pharmacol. 13:854176. doi: 10.3389/fphar.2022.854176
Received: 13 January 2022; Accepted: 21 July 2022;
Published: 08 September 2022.
Edited by:
Luis F. Callado, University of the Basque Country, SpainReviewed by:
M. Foster Olive, Arizona State University, United StatesMichael H. Baumann, National Institute on Drug Abuse (NIH), United States
Melinda Hersey, National Institute on Drug Abuse (NIH), United States
Copyright © 2022 Jensen, Jensen and Madsen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Kathrine Louise Jensen, a2xqZW5zZW5Ac3VuZC5rdS5kaw==; Kenneth Lindegaard Madsen, a2VubmV0aG1hQHN1bmQua3UuZGs=