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OPINION article

Front. Behav. Neurosci., 21 April 2020
Sec. Individual and Social Behaviors
This article is part of the Research Topic Neurobehavioural Mechanisms of Resilience and Vulnerability in Addictive Disorders View all 17 articles

What Is the “Trigger” of Addiction?

  • 1Departamento Ciencias Biomédicas, Universidad Cardenal Herrera-CEU Universities, Valencia, Spain
  • 2Instituto de Ciencias Biomédicas, Universidad Cardenal Herrera-CEU Universities, Valencia, Spain
  • 3Centro Universitario Santo Tomas, Universidad Católica de Ávila, Ávila, Spain

Addiction is a multidimensional condition (European Monitoring Centre for Drugs Drug Addiction., 2014) which has traditionally been explored from different perspectives, including biological, social, and psychological approaches. Inside of these main levels, the specific contribution of multiple sublevels to the addiction development and treatment have been investigated. This research field draws an amazing addiction puzzle which is built by a diverse set of pieces coming from the genetic, epigenetic, molecular, neurobiological, and psychological levels, but also from live experiences, the environment, and from cognitive traits. The complex combination of these factors determines the addiction process.as well as Drug use affects each factor differently.

Any attempt to study this complexity through one single level is insufficient. In fact, addiction models usually need to include elements from different models in order to provide a satisfactory explanation of the disease.

Most addiction research has classically focused on the neurobiological level, trying to figure out the neuroadaptations that repetitive drug use produces over the brain systems and their behavioral consequences, including effects on the reward system, emotional or cognitive functioning. Currently, one of the most accepted neurobiological theories postulates that the development of drug addiction is a progressive process through a three-phase cycle: binge/intoxication, withdrawal/negative affect and preoccupation/anticipation (Koob and Volkow, 2016).

However, there is no doubt that addictive disorders have a strong subjective component that is not fully fitted with the present models. There is increasing literature showing how some factors related to subjective processes can impact the neurobiology of addiction by increasing the vulnerability such as early childhood experiences (Kim et al., 2017; Lee et al., 2018), social context (Schriber and Guyer, 2016; Burke et al., 2017), environment (Zucker et al., 2018), maturation (Romer et al., 2017) or personality (Jauk and Dieterich, 2019; Ramirez-Castillo et al., 2019) factors. Of special interest is the role of the so called “Big Five” personality traits in the risk for drug addiction (Andreassen et al., 2013).

Re-Understanding the Trigger

The current maladjustment between the neurobiology and the subjective human condition can be observed in the concept of “trigger.” Understood as “a stimulus that elicits a reaction” (APA dictionary, 2019), the trigger is considered a key element in the craving response showed by addicts. This external stimulus would lead the individual to repeat drug use or relapse after a period of abstinence. Addiction models constructed upon this observation consider the trigger as a stimulus able to activate drug related memories leading to reward anticipation and craving responses. As a consequence, derived therapeutic approaches suggest to avoid the trigger or provide the individuals with cognitive capabilities to control that emotional response provoked by the trigger. Such cognitive-behavioral therapies include operant conditioning, contingency management or coping skills training (Witkiewitz et al., 2019).

In this way, where “trigger” is considered as an “external” stimulus inducing a reaction, its scope is only at the psychological level and does not address the uniqueness of complexity. Instead, we offer a re-understanding of the “trigger” as something “internal” that relates all levels of complexity and requires dialogue between different levels mentioned above. Moreover, the stimulus-response association was already questioned by PK Anokhin (Egiazaryan and Sudakov, 2007), who proposed to come out of a causal reading (the trigger provokes a behavior) and assumed a systemic conception in which the behavior is due to a global situation of the whole system (Thelen and Smith, 1994; Smith, 2005; Anderson et al., 2012).

The change from outside to inside is also justified by discovering that due to the high subjectivity of addiction, it makes no sense to “blame” something outside. In this sense, a term to refer to all this subjective complexity is suggested here: “frustration.” Frustration cannot be understood without breaking expectations (Amsel, 1992). The interesting point about this term is that it evidences aspects of interiority, but its conceptual basis also allows its use in the different levels of complexity. If we define frustration as widely as possible, we would say that it is the emotional result of the perception of the distance between the expected (needed) and the found. At all levels, even in the most molecular, frustration would indicate a mismatch between one molecular situation and another. Frustration is understood as a global experience that can have many types of “mismatches,” whether molecular or in terms of expectations. This mismatch needs to be perceived either by cognitive (if we talk about expectations) or biological processes (if we talk about biological levels). Frustration would thus be a meeting point for all levels of complexity.

Classically, frustration and other emotions were considered as an evaluation of the actual need and estimation of probability of its satisfaction (the “need-informational theory of emotions”), linked to the participation of specific key brain structures (Simonov, 1984, 1997). However, recent meta-analyses found little evidence that discrete emotion categories can be consistently and specifically localized to distinct brain regions (Lindquist et al., 2012). Therefore, a set of interacting brain regions commonly involved in basic psychological operations are active during emotion experience and perception across a range of discrete emotion categories (Kober et al., 2008; Lindquist et al., 2012). Therefore, the current model of emotions is systemic and linked to other psychological functions (Pessoa, 2013), which is in line with the proposal of “frustration” as a personal global condition which (after the whole personal evaluation of a stimulus) “triggers” a response.

What is usually conceptualized as a trigger (cause attributed to an external element) would be a simplification because it denies the role of the inner experience. If we accept the frustration is previous to the external trigger, then the clinical approach should be headed to search and treat the emotional “tangle” underlying frustration and its relationship with the external stimulus. Because if we avoid the external trigger without treating the previous subjective cause, then the probability of relapse is high. The treatment of the subjective emotional state will help to provide a new meaning to that external stimulus, an action that we call to “re-meaning” the trigger.

This therapeutic fact of giving a new meaning to the trigger does not exclude the traditional therapeutic avoiding of the trigger, which is an urgent aim at the beginning of the treatment. Nevertheless, after that initial phase, the inner problem should also be addressed. Actually, both are necessary, one to get initial abstinence and the other to help the addict to resolve the frustration underlying drug addiction.

FIGURE 1
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Figure 1. Different levels for the study of addiction range from molecular (lower) to subjective (upper).

Our proposal about the individual subjectivity implies understanding that the emotion is lived more as an expression of the complexity of a person's life in specific circumstances, than as a reaction to the outside (Barrett, 2017).

The Subjective Concept and Neurobiology of Stress and Addiction

Similarly to addiction, stress disorders are also related to a trigger stimulus evoking a strong subjective experience. A neurobiological overlap between these two conditions would therefore be expected.

The responses to psychosocial stressful stimuli in healthy individuals also involve the participation of hippocampus, amygdala, insula and prefrontal cortices (Shin and Liberzon, 2010). Specifically, limbic circuits underlie the coherent contextualization of different neural inputs (Bird, 2017), as well as the formation of episodic memories and the integration of emotional processing; essential elements in craving and relapse by exposure to the context of drug addicts.

Moreover, drug addicts, psychiatric patients, and subjects that suffered early child abuse show similar brain alterations such as volume reductions of the hippocampus, amygdala and anterior cingulate cortex, or hyperactivity of the amygdala and insula, vs. a decreased response of prefrontal cortex when dealing with stress (Etkin and Wager, 2007; Shin and Liberzon, 2010; McCrory et al., 2012). The cue-reactivity paradigm used in fMRI addiction studies has pointed out limbic and prefrontal cortices as the key systems in response to stimuli (Chase et al., 2011). However, a more recent meta-analysis concludes the absence of a consensus in relation to the brain response to conditioned drug stimuli (Zilberman et al., 2019). The loss of consensus can possibly be partially explained by the role of frustration (subjective personal factors) triggering the negative perception of the reality (inner trigger), an element shared in both, stress and addiction disorders.

Our suggestion is to promote resilience as a therapeutic tool to treat frustration. It is known that the subjective perception of the event is a determining point to understand the experience lived (Burr, 1982). Therefore, the best way to work on resilience is through the re-meaning of the so-called stressor or trigger (Lazarus and Launier, 1978; Boss, 2002), but working on the meaning attributed to the stressor instead of the stressor itself. A creative act is necessary because resilience is not a mere adaptation to new circumstances, but implies a global personal growth (Walsh, 2002; Cicchetti, 2010).

From a therapeutic view, the capability of psychotherapeutic treatments (alone) has been demonstrated to restoring the biological normality of brain structure and function (Barsaglini et al., 2014). This is of especial interest when only limited effects have been documented by pharmacological treatments, for example in the drug addiction (Dakwar and Nunes, 2016). Psychological symptoms, including depression, anxiety, hostility, psychological pain, embarrassment, blame, panic and obsession, are complex and difficult to characterize but treating them is crucial and essential for rehabilitation (Dakwar and Nunes, 2016).

Turning Back to the Complexity

Usually, the emphasis for relapse prevention is focused on avoiding trigger stimuli by means of healthy habits, but, once again, subjective elements play a central role, and are related to the complexity of personal relationships and self-assessment (Marlatt and Gordon, 1985). Therefore, relapse is seen as the effect of not having coping strategies. Moreover, it has been shown that high percentages of drug addicted patients allege intrapersonal determinants related to frustration as the main cause of relapse (Ramirez-Castillo et al., 2019).

It is clear that resilience to stress or addiction must be studied at all levels from the most biological to the most subjective (Cicchetti, 2010) in order to attend the globality and uniqueness of the person since the absence of risk factors or the presence of protective elements alone are not enough to explain whether an individual using drugs will become addicted or whether an addict will be rehabilitated (Luthar et al., 2000).

This brief journey opens the possibility of accepting the term “frustration” as a global subjective element, leading the therapeutic intervention toward the inner patient condition, for example, through work on the resilience, more than the avoiding of external stimuli.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

The 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.

Acknowledgments

The authors acknowledge Ms. María Genovés Monzó for drawing Figure 1.

References

Amsel, A. (1992). Frustration theory: many years later. Psychol. Bull. 112, 396–399.

PubMed Abstract | Google Scholar

Anderson, M. L., Richardson, M. J., and Chemero, A. (2012). Eroding the boundaries of cognition: implications of embodiment1. Top. Cognit. Sci. 4, 717–730. doi: 10.1111/j.1756-8765.2012.01211.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Andreassen, C. S., Griffiths, M. D., Gjertsen, S. R., Krossbakken, E., Kvam, S., and Pallesen, S. (2013). The relationships between behavioral addictions and the five-factor model of personality. J. Behav. Addict. 2, 90–99. doi: 10.1556/JBA.2.2013.003

PubMed Abstract | CrossRef Full Text | Google Scholar

APA dictionary (2019). APA dictionar of Psychology. Available online at: https://dictionary.apa.org/trigger (accessed 30 November, 2019).

Google Scholar

Barrett, L. F. (2017). How Emotions are Made. Macmillan.

Google Scholar

Barsaglini, A., Sartori, G., Benetti, S., Pettersson-Yeo, W., and Mechelli, A. (2014). The effects of psychotherapy on brain function: a systematic and critical review. Progr. Neurobiol. 114, 1–14. doi: 10.1016/j.pneurobio.2013.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Bird, C. M. (2017). The role of the hippocampus in recognition memory. Cortex 93, 155–165. doi: 10.1016/j.cortex.2017.05.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Boss, P. (2002). Family Stress Management: A Contextual Approach. Los Angeles, CA: Sage Publications.

Google Scholar

Burke, A. R., McCormick, C. M., Pellis, S. M., and Lukkes, J. L. (2017). Impact of adolescent social experiences on behavior and neural circuits implicated in mental illnesses. Neurosci. Biobehav. 76, 280–300. doi: 10.1016/j.neubiorev.2017.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Burr, W. (1982). “Families under stress,” in Family Stress, Coping, and Social Support, eds L. Hamilton, A. McCubbin, Elizabeth Cauble, and J. M. Patterson (Springfield, IL: Thomas Books), 3–25.

Google Scholar

Chase, H. W., Eickhoff, S. B., Laird, A. R., and Hogarth, L. (2011). The neural basis of drug stimulus processing and craving: an activation likelihood estimation meta-analysis. Biol. Psychiatry 15, 785–793. doi: 10.1016/j.biopsych.2011.05.025

CrossRef Full Text | Google Scholar

Cicchetti, D. (2010). Resilience under conditions of extreme stress: a multilevel perspective. World Psychiatry 9, 145–154. doi: 10.1002/j.2051-5545.2010.tb00297.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Dakwar, E., and Nunes, E. V. (2016). New directions in medication-facilitated behavioral treatment for substance use disorders. Curr. Psychiatry Rep. 18:64. doi: 10.1007/s11920–016-0703–4

PubMed Abstract | CrossRef Full Text | Google Scholar

Egiazaryan, G. G., and Sudakov, K. V. (2007). Theory of functional systems in the scientific school of P.K. Anokhin. J. History Neurosci. 16, 194−205 doi: 10.1080/09647040600602805

PubMed Abstract | CrossRef Full Text | Google Scholar

Etkin, A., and Wager, T. D. (2007). Functional neuroimaging of anxiety: a meta-analysis of emotional processing in PTS. D., social anxiety disorder, and specific phobia. Am. J. Psychiatry 164, 1476−1488. doi: 10.1176/appi.ajp.2007.07030504

CrossRef Full Text | Google Scholar

European Monitoring Centre for Drugs and Drug Addiction. (2014). Multidimensional Family Therapy for Adolescent drug Users: A Systematic Review, EMCDDA Papers. Luxembourg: Publications Office of the European Union.

Google Scholar

Jauk, E., and Dieterich, R. (2019). Addiction and the dark triad of personality. Front. Psychiatry 10:662. doi: 10.3389/fpsyt.2019.00662

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, S., Kwok, S., Mayes, L. C., Potenza, M. N., Rutherford, H. J. V., and Strathearn, L. (2017). Early adverse experience and substance addiction: dopamine, oxytocin, and glucocorticoid pathways. Ann. N. Y. Acad. Sci. 1394, 74–91. doi: 10.1111/nyas.13140

PubMed Abstract | CrossRef Full Text | Google Scholar

Kober, H., Barrett, L. F., Joseph, J., Bliss-Moreau, E., Lindquist, K. A., and Wager, T. D. (2008). Functional grouping and cortical–subcortical interactions in emotion: a meta-analysis of neuroimaging studies. NeuroImage 42, 998–1031. doi: 10.1016/j.neuroimage.2008.03.059

PubMed Abstract | CrossRef Full Text | Google Scholar

Koob, G. F., and Volkow, N. D. (2016). Neurobiology of addiction: a neurocircuitry analysis. Lancet Psychiatry 3, 760–773. doi: 10.1016/S2215–036600104-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Lazarus, R. S., and Launier, R. (1978). “Stress-related transactions between person and environment,” in Perspectives in Interactional Psychology, eds L. A. Pervin, and M. Lewis (Boston, MA: Springer).

PubMed Abstract | Google Scholar

Lee, R. S., Oswald, L. M., and Wand, G. S. (2018). Early life stress as a predictor of co-occurring alcohol use disorder and post-traumatic stress disorder. Alcohol Res. 39, 147–159.

PubMed Abstract | Google Scholar

Lindquist, K. A., Kober, H., Bliss-Moreau, E., and Barrett, L. F. (2012). The brain basis of emotion : a meta-analytic review. Behav. Brain Sci. 35, 121–202. doi: 10.1017/S0140525X11000446

PubMed Abstract | CrossRef Full Text | Google Scholar

Luthar, S. S., Cicchetti, D., and Becker, B. (2000). The construct of resilience: a critical evaluation and guidelines for future work. Child Dev. 71, 543–562.

PubMed Abstract | Google Scholar

Marlatt, G. A., and Gordon, J. R. (1985). Relapse Prevention: Maintenance Strategies in the Treatment of Addictive Behaviors. New York, NY: Guilford.

Google Scholar

McCrory, E., De Brito, S. A., and Viding, E. (2012). The link between child abuse and psychopathology: a review of neurobiological and genetic research. J. R Soc. Med. 105, 151–156. doi: 10.1258/jrsm.2011.110222

PubMed Abstract | CrossRef Full Text | Google Scholar

Pessoa, L. (2013). The Cognitive–Emotional Brain. From Interactions to Integration. London: MIT Press.

PubMed Abstract | Google Scholar

Ramirez-Castillo, D., Garcia-Roda, C., Guell, F., Fernandez-Montalvo, J., Bernacer, J., and Morón, I. (2019). Frustration tolerance and personality traits in patients with substance use disorders. Front. Psychiatry.14:421. doi: 10.3389/fpsyt.2019.00421

CrossRef Full Text | Google Scholar

Romer, D., Reyna, V. F., and Satterthwaite, T. D. (2017). Beyond stereotypes of adolescent risk taking: placing the adolescent brain in developmental context. Dev. Cogn. Neurosci. 27, 19–34. doi: 10.1016/j.dcn.2017.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Schriber, R. A., and Guyer, A. E. (2016). Adolescent neurobiological susceptibility to social context. Dev. Cogn. Neurosci. 19, 1–18. doi: 10.1016/j.dcn.2015.12.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Shin, L. M., and Liberzon, I. (2010). The neurocircuitry of fear, stress, and anxiety disorders. Neuropsychopharmacology 35, 169–191. doi: 10.1038/npp.2009.83

PubMed Abstract | CrossRef Full Text | Google Scholar

Simonov, P. V. (1984). The need-informational theory of emotions. Int. J. Psychophysiol. 1, 277–289.

PubMed Abstract | Google Scholar

Simonov, P. V. (1997). Brain mechanisms of emotions. Neurosci. Behav. Physiol. 27, 405–413.

PubMed Abstract | Google Scholar

Smith, L. B. (2005). Cognition as a dynamic systems: principles from embodiment. Dev. Rev. 25, 278–798. doi: 10.1016/j.dr.2005.11.001

CrossRef Full Text | Google Scholar

Thelen, E., and Smith, L. B. (1994). A Dynamic Systems Approach to the Development of Cognition and Action. Cambridge, MA: MIT Press.

Google Scholar

Walsh, F. (2002). Bouncing forward: resilience in the aftermath of September 11. Fam. Process. 41, 34–36. doi: 10.1111/j.1545-5300.2002.40102000034.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Witkiewitz, K., Litten, R. Z., and Leggio, L. (2019). Advances in the science and treatment of alcohol use disorder. Sci. Adv.5:eaax4043. doi: 10.1126/sciadv.aax4043

PubMed Abstract | CrossRef Full Text | Google Scholar

Zilberman, N., Lavidor, M., Yadid, G., and Rassovsky, Y. (2019). Qualitative review and quantitative effect size meta-analyses in brain regions identified by cue-reactivity addiction studies. Neuropsychology 33, 319–334. doi: 10.1037/neu0000526

PubMed Abstract | CrossRef Full Text | Google Scholar

Zucker, R. A., Gonzalez, R., Feldstein Ewing, S. W., Paulus, M. P., Arroyo, J., Fuligni, A., et al. (2018). Assessment of culture and environment in the adolescent brain and cognitive development study: rationale, description of measures, and early data. Dev. Cogn. Neurosci. 32, 107–120. doi: 10.1016/j.dcn.2018.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: trigger, addiction, subjective, frustration, treatment

Citation: Asensio S, Hernández-Rabaza V and Orón Semper JV (2020) What Is the “Trigger” of Addiction? Front. Behav. Neurosci. 14:54. doi: 10.3389/fnbeh.2020.00054

Received: 02 December 2019; Accepted: 23 March 2020;
Published: 21 April 2020.

Edited by:

Maria Asuncion Aguilar, University of Valencia, Spain

Reviewed by:

Alexander Nikolaevich Savostyanov, State Scientific-Research Institute of Physiology & Basic Medicine, Russia

Copyright © 2020 Asensio, Hernández-Rabaza and Orón Semper. 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: Samuel Asensio, c2FtdWVsJiN4MDAwNDA7dWNoY2V1LmVz

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