- 1Center for Alcohol and Drug Research (KORFOR), Stavanger University Hospital, Stavanger, Norway
- 2The Norwegian Centre for Movement Disorders, Stavanger University Hospital, Stavanger, Norway
- 3Department of Social Studies, University of Stavanger, Stavanger, Norway
- 4Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- 5Department of Research and Innovation, Helse Fonna HF, Haugesund, Norway
Introduction
Through multidisciplinary research efforts, our understanding of substance use disorders (SUDs) is ever increasing. In a recent review by Volkow and Blanko, the importance of addressing the needs of special populations in SUD-research was emphasized (1). These populations warrant special attention in both clinical settings and future research. This focus is welcomed and highlights the move toward more individualized, tailored, and personalized treatment approaches (2). A personalized treatment approach for SUDs depends on detailed knowledge of how biological, psychological, and social factors impact the severity, trajectory, and recovery of SUDs (3–5). Thus, targeted efforts are needed to enable personalized treatment approaches for SUD populations with distinct clinical needs (5). Indeed, these groups often experience adverse clinical outcomes and respond less to preventative strategies, which underscores the importance of future research efforts in this area.
Cognitive dysfunction in SUD
One population that warrants special attention is patients with cognitive dysfunction (6). Cognitive impairments negatively impact treatment processes and therapeutic change mechanisms at all stages of SUD treatment. Further, within this group, reduced insight and recognition of problem use impede efficient prevention and early identification of SUDs (7, 8), and difficulties with adherence and attendance are frequent in outpatient, inpatient, and aftercare treatment settings (9, 10). Moreover, standard treatment approaches are often unsuitable and contribute to elevated dropout and relapse rates among patients with cognitive impairment (11–13). Indeed, patients with cognitive impairment may follow different recovery pathways compared to those without such impairments. For instance, informal treatment processes and social structures may play a more prominent role in determining behavioral, psychosocial, emotional, and vocational outcomes (9, 14).
The advances in understanding the neurobiology of SUDs, have highlighted the importance of translating basic research findings into implementable therapeutic interventions. Cognitive dysfunction, such as increased impulsivity, altered decision making, and impaired executive functioning in the early stage of drug abstinence, is well-documented in SUDs (6). However, cognitive impairments in SUDs are not limited to transient cognitive alterations attributable to prolonged drug use or the effects of acute withdrawal. Enduring cognitive impairment can be related to a host of non-drug factors, including head trauma, co-morbid psychiatric disorders, cerebrovascular changes, and congenital or premorbid cognitive impairment (15–17). In the clinical research pipeline, novel treatment options such as contingency management and cognitive remediation therapies hold promise as personalized and viable strategies for managing cognitive impairments in the SUD population. Indeed, these novel therapeutic advances could serve as valuable adjunctive treatments to standard SUD-treatment, like cognitive behavioral therapy, in cases where delayed discounting or reward based decision-making is prominent in the patients case formulation (18). In therapeutic community treatment, adjunctive group based cognitive remediation therapy, also shows promising findings (19). The development of treatment algorithms that assist clinicians and patients in the choice of treatment modality will be essential for efficient and personalized implementation these treatment approaches (20).
There is a growing recognition that patients with SUDs and mild to borderline intellectual disability (MBID) (IQ 50–85) represent a special clinical population that needs dedicated and targeted clinical and research attention. First, individuals with MBID may have an augmented vulnerability to the development of SUDs compared to those without these intellectual deficits (2, 21). In addition, they may experience more severe mental, physical, and social consequences from substance use than members of other groups (2). Second, individuals with impaired intellectual functioning are likely to experience barriers to accessing substance abuse treatment (22, 23). Third, although traditionally identified and treated in intellectual disability (ID) services, recent studies indicate a large unidentified population of patients with premorbid intellectual impairment in facilities offering treatment for SUD with prevalence rates reaching up to 39% (12, 21, 24). The under-recognition of comorbid SUD and intellectual impairment, coupled with the inherent difficulties in evaluating cognition and adaptive functioning among patients in the SUD population, may play a pivotal role in concealing this population (12, 25). Fourth, it is suggested that patients with intellectual deficits may not benefit from mainstream SUD treatment in its current form due to difficulties such as limited attention span, limited vocabulary, short and/or long-term memory problems, difficulties discriminating between relevant and irrelevant information, problems with planning and attention, impaired abstract reasoning, and low self-insight (26). Moreover, compared to individuals with mental health issues in the general population, they are also more likely to receive mono-therapy, which limits these patients in their recovery from SUDs and their integration into society as fully functional citizens (27, 28).
Discussion
The comorbidity of SUD and MBID has largely been overlooked in the addiction medicine literature (21). We argue that recognizing and adopting a personalized treatment approach for patients with premorbid intellectual impairments is essential to improve treatment outcomes for individuals with SUDs. However, this approach is not without its challenges. The primary organizational obstacle is how to provide ongoing care for this group. Patients with both SUD and intellectual deficits will require continuous community care that extends beyond standard inpatient or outpatient services. Most countries have dedicated ID services for individuals with ID, and there is a need for collaboration and knowledge exchange between ID and SUD services (21, 29). Although found to struggle in a number of life and personal areas (30), most countries lack dedicated services targeting the intellectual impairment associated with borderline intellectual functioning (IQ 70–85). These patients are frequently deemed unsuitable for specialized services, leading to their displacement across various service providers and a consequent lack of adequate support.
While advances in screening and assessment of cognitive functioning in patients with SUD will result in increased identification of MBID and other cognitive dysfunctions (31), the development of novel inpatient, outpatient, and community prevention and care strategies for these patients is needed. In the years to come, it is crucial we identify barriers for treatment adherence, algorithms in how to tailor psychosocial interventions, and systems to assist patients benefiting from pharmaceutical treatments. Indeed, we share Volow and Blancos optimism that focused research will generate novel and more effective therapeutic interventions that are tailor for the individual patient (1).
Author contributions
AE: Conceptualization, Writing—original draft, Writing—review and editing. JH: Writing—original draft, Writing—review and editing. KB: Writing—original draft, Writing—review and editing.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
KB was employed by Helse Fonna HF.
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
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Volkow ND, Blanco C. Substance use disorders: a comprehensive update of classification, epidemiology, neurobiology, clinical aspects, treatment and prevention. World Psychiatry. (2023) 22:203–29. doi: 10.1002/wps.21073
2. Carroll KM. The profound heterogeneity of substance use disorders: implications for treatment development. Curr Dir Psychol Sci. (2021) 30:358–64. doi: 10.1177/09637214211026984
3. Ghitza UE. ASPIRE Model for treating cannabis and other substance use disorders: a novel personalized-medicine framework. Front Psychiatry. (2014) 5:180. doi: 10.3389/fpsyt.2014.00180
4. Vigdal MI, Moltu C, Bjornestad J, Selseng LB. Social recovery in substance use disorder: a metasynthesis of qualitative studies. Drug Alcohol Rev. (2022) 41:974–87. doi: 10.1111/dar.13434
5. Morgenstern J, McKay JR. Rethinking the paradigms that inform behavioral treatment research for substance use disorders. Addiction. (2007) 102:1377–89. doi: 10.1111/j.1360-0443.2007.01882.x
6. Verdejo-Garcia A, Lorenzetti V, Manning V, Piercy H, Bruno R, Hester R, et al. A roadmap for integrating neuroscience into addiction treatment: a consensus of the neuroscience interest group of the international society of addiction medicine. Front Psychiatry. (2019) 10:877. doi: 10.3389/fpsyt.2019.00877
7. Severtson SG, von Thomsen S, Hedden SL, Latimer W. The association between executive functioning and motivation to enter treatment among regular users of heroin and/or cocaine in Baltimore, MD. Addict Behav. (2010) 35:717–20. doi: 10.1016/j.addbeh.2010.02.012
8. Rinn W, Desai N, Rosenblatt H, Gastfriend DR. Addiction denial and cognitive dysfunction: a preliminary investigation. J Neuropsychiatry Clin Neurosci. (2002) 14:52–7. doi: 10.1176/jnp.14.1.52
9. Bates ME, Pawlak AP, Tonigan JS, F J. Buckman: Cognitive impairment influences drinking outcome by altering therapeutic mechanisms of change. Psychol Addict Behav. (2006) 20:241–53. doi: 10.1037/0893-164X.20.3.241
10. Copersino ML, Schretlen DJ, Fitzmaurice GM, Lukas SE, Faberman J, Sokoloff J, et al. Effects of cognitive impairment on substance abuse treatment attendance: predictive validation of a brief cognitive screening measure. Am J Drug Alcohol Abuse. (2012) 38:246–50. doi: 10.3109/00952990.2012.670866
11. Brorson HH, Ajo Arnevik E, Rand-Hendriksen K, Duckert F. Drop-out from addiction treatment: a systematic review of risk factors. Clin Psychol Rev. (2013) 33:1010–24. doi: 10.1016/j.cpr.2013.07.007
12. Braatveit K, Torsheim T, Hove O. The prevalence and characteristics of intellectual and borderline intellectual disabilities in a sample of inpatients with substance use disorders: preliminary clinical results. J Ment Health Res Intellect Disabil. (2018) 11:1–18. doi: 10.1080/19315864.2018.1469701
13. Hetland J, Hagen E, Lundervold AJ, Erga AH. Performance on cognitive screening tests and long-term substance use outcomes in patients with polysubstance use disorder. Eur Addict Res. (2023) 29:150–9. doi: 10.1159/000528921
14. Buckman JF, Bates ME, Morgenstern J. Social support and cognitive impairment in clients receiving treatment for alcohol- and drug-use disorders: a replication study. J Stud Alcohol Drugs. (2008) 69:738–46. doi: 10.15288/jsad.2008.69.738
15. W. Fals-Stewart. Ability of counselors to detect cognitive impairment among substance-abusing patients: an examination of diagnostic efficiency. Exp Clin Psychopharmacol. (1997) 5:39–50. doi: 10.1037/1064-1297.5.1.39
16. Mahboub N, Rizk R, Karavetian M, de Vries N. Nutritional status and eating habits of people who use drugs and/or are undergoing treatment for recovery: a narrative review. Nutr Rev. (2021) 79:627–35. doi: 10.1093/nutrit/nuaa095
17. Rojas R, Riascos R, Vargas D, Cuellar H, Borne J. Neuroimaging in drug and substance abuse part I: cocaine, cannabis, and ecstasy. Top Magn Reson Imaging. (2005) 16:231–8. doi: 10.1097/01.rmr.0000192156.46492.24
18. Verdejo-Garcia A, Alcazar-Corcoles MA, Albein-Urios N. Neuropsychological interventions for decision-making in addiction: a systematic review. Neuropsychol Rev. (2019) 29:79–92. doi: 10.1007/s11065-018-9384-6
19. Marceau EM, Berry J, Lunn J, Kelly PJ, Solowij N. Cognitive remediation improves executive functions, self-regulation and quality of life in residents of a substance use disorder therapeutic community. Drug Alcohol Depend. (2017) 178:150–8. doi: 10.1016/j.drugalcdep.2017.04.023
20. Anderson AC, Robinson AH, Giddens E, Hartshorn B, Allan E, Rowe C, et al. Proof-of-concept trial of Goal Management Training(+) to improve executive functions and treatment outcomes in methamphetamine use disorder. Drug Alcohol Depend. (2023) 246:109846. doi: 10.1016/j.drugalcdep.2023.109846
21. van Duijvenbode N, VanDerNagel JEL. A systematic review of substance use (disorder) in individuals with mild to borderline intellectual disability. Eur Addict Res. (2019) 25:263–82. doi: 10.1159/000501679
22. Gosens LCF, Otten R, de Jonge JM, Schellekens AFA, VanDerNagel JEL, Didden R, et al. Development of a personalised substance use disorder treatment for people with mild intellectual disabilities or borderline intellectual functioning: an intervention mapping approach. J Intellect Dev Disabil. (2022) 47:131–40. doi: 10.3109/13668250.2021.1925529
23. VanDerNagel JEL, van Duijvenbode N, Ruedrich S, Ayu AP, Schellekens AFA. the perception of substance use disorder among clinicians, caregivers and family members of individuals with intellectual and developmental disabilities. J Ment Health Res Intellect Disabil. (2018) 11:54–68. doi: 10.1080/19315864.2017.1390712
24. Luteijn I, Didden R, VanDerNagel J. Individuals with mild intellectual disability or borderline intellectual functioning in a forensic addiction treatment center: prevalence and clinical characteristics. Adv Neurodev Disord. (2017) 1:240–51. doi: 10.1007/s41252-017-0031-7
25. Hetland J, Braatveit KJ, Hagen E, Lundervold AJ, Erga AH. Prevalence and characteristics of borderline intellectual functioning in a cohort of patients with polysubstance use disorder. Front Psychiatry. (2021) 12:651028. doi: 10.3389/fpsyt.2021.651028
26. Kiewik M, VanDerNagel JEL, Engels RJ, De Jong CA. Intellectually disabled and addicted: a call for evidence based tailor-made interventions. Addiction. (2017) 112:2067–8. doi: 10.1111/add.13971
27. Wieland J. Kapitein-de Haan S, Zitman FG. Psychiatric disorders in outpatients with borderline intellectual functioning: comparison with both outpatients from regular mental health care and outpatients with mild intellectual disabilities. Can J Psychiatry. (2014) 59:213–9. doi: 10.1177/070674371405900406
28. Hassiotis A, Strydom A, Hall I, Ali A, Lawrence-Smith G, Meltzer H, et al. Psychiatric morbidity and social functioning among adults with borderline intelligence living in private households. J Intellect Disabil Res. (2008) 52:95–106. doi: 10.1111/j.1365-2788.2007.01001.x
29. Slayter EM. Understanding and overcoming barriers to substance abuse treatment access for people with mental retardation. J Soc Work Disabil Rehabil. (2008) 7:63–80. doi: 10.1080/15367100802009780
30. Wieland J, Zitman FG. It is time to bring borderline intellectual functioning back into the main fold of classification systems. BJPsych Bull. (2016) 40:204–6. doi: 10.1192/pb.bp.115.051490
Keywords: addiction, cognition, intellectual functioning, substance use disorder, treatment
Citation: Erga AH, Hetland J and Braatveit K (2023) Patients with cognitive deficits and substance use disorders, a clinical population in need of focused attention. Front. Psychiatry 14:1281914. doi: 10.3389/fpsyt.2023.1281914
Received: 23 August 2023; Accepted: 25 September 2023;
Published: 12 October 2023.
Edited by:
Scott E. Hemby, High Point University, United StatesReviewed by:
F. Gerard Moeller, Virginia Commonwealth University, United StatesCopyright © 2023 Erga, Hetland and Braatveit. 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: Aleksander H. Erga, aleksander.hagen.erga@sus.no