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Impulsive choice predicts short-term relapse in substance-dependent individuals attending an in-patient detoxification programme

Published online by Cambridge University Press:  02 February 2015

L. Stevens*
Affiliation:
Department of Special Education, University of Ghent, Ghent, Belgium
A. E. Goudriaan
Affiliation:
Amsterdam Institute for Addiction Research, Department of Psychiatry, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands
A. Verdejo-Garcia
Affiliation:
School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
G. Dom
Affiliation:
Collaborative Antwerp Psychiatric Research Institute, University of Antwerp, Antwerp, Belgium
H. Roeyers
Affiliation:
Department of Experimental Clinical and Health Psychology, University of Ghent, Ghent, Belgium
W. Vanderplasschen
Affiliation:
Department of Special Education, University of Ghent, Ghent, Belgium
*
* Address for correspondence: L. Stevens, Department of Special Education, University of Ghent, Ghent, Belgium. (Email: [email protected])

Abstract

Background

Impulsivity is a hallmark characteristic of substance use disorders. Recently, studies have begun to explore whether increased impulsivity in substance-dependent individuals (SDIs) is associated with a greater propensity to relapse following treatment. Despite growing recognition of its multidimensional nature, however, most studies have treated impulsivity unilaterally. Accordingly, it remains unclear whether certain facets of impulsivity are more relevant to relapse than others. The aim of the current study was to examine the relationship between multiple facets of impulsivity and short-term relapse in SDIs. As a secondary aim, we explored the role of treatment retention in this relationship.

Method

A personality-based impulsivity questionnaire (UPPS) and three neurocognitive tasks of impulsivity [stop-signal task (SST), delay discounting task (DDT) and Iowa gambling task (IGT)] were administered in a heterogeneous sample of 70 SDIs shortly following their entry in an in-patient detoxification programme. Mediation analyses were performed to explore whether the effects of impulsivity on relapse were mediated by treatment retention.

Results

Performance on two neurocognitive indices of impulsive choice (i.e. delay discounting and impulsive decision-making) significantly predicted short-term relapse. The effects of delay discounting and impulsive decision-making on relapse propensity were mediated by treatment retention.

Conclusions

Neurocognitive indices of impulsivity may be more sensitive to the prediction of relapse than trait-based self-report questionnaires. Post-treatment relapse in SDIs may be reduced by targeting the processes involved in impulsive choice and by improving treatment retention in SDIs with inflated impulsivity.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2015 

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References

Alfonso, JP, Caracuel, A, Delgado-Pastor, LC, Verdejo-García, A (2011). Combined goal management training and mindfulness meditation improve executive functions and decision-making performance in abstinent polysubstance abusers. Drug and Alcohol Dependence 117, 7881.CrossRefGoogle ScholarPubMed
American Psychiatric Association (1994). Diagnostic and Statistical Manual of Mental Disorders: DSM-IV, 4th edn. APA: Washington, DC.Google Scholar
Bechara, A, Damasio, H, Tranel, D, Damasio, AR (1997). Deciding advantageously before knowing the advantageous strategy. Science 275, 12931295.CrossRefGoogle ScholarPubMed
Belin, D, Berson, N, Balado, E, Piazza, PV, Deroche-Gamonet, V (2011). High-novelty-preference rats are predisposed to compulsive cocaine self-administration. Neuropsychopharmacology 36, 569579.Google Scholar
Belin, D, Mar, AC, Dalley, JW, Robbins, TW, Everitt, BJ (2008). High impulsivity predicts the switch to compulsive cocaine-taking. Science 320, 13521355.Google Scholar
Bickel, WK, Yi, R, Landes, RD, Hill, PF, Baxter, C (2011). Remember the future: working memory training decreases delay discounting among stimulant addicts. Biological Psychiatry 69, 260265.Google Scholar
Bird, J, Schenk, S (2013). Contribution of impulsivity and novelty-seeking to the acquisition and maintenance of MDMA self-administration. Addiction Biology 18, 654664.CrossRefGoogle Scholar
Bowden-Jones, H, McPhillips, M, Rogers, R, Hutton, S, Joyce, E (2005). Risk-taking on tests sensitive to ventromedial prefrontal cortex dysfunction predicts early relapse in alcohol dependency: a pilot study. Journal of Neuropsychiatry and Clinical Neurosciences 17, 417420.CrossRefGoogle ScholarPubMed
Brand, M, Labudda, K, Markowitsch, HJ (2006). Neuropsychological correlates of decision-making in ambiguous and risky situations. Neural Networks 19, 12661276.Google Scholar
Broos, N, Diergaarde, L, Schoffelmeer, ANM, Pattij, T, De Vries, TJ (2012). Trait impulsive choice predicts resistance to extinction and propensity to relapse to cocaine seeking: a bidirectional investigation. Neuropsychopharmacology 37, 13771386.Google Scholar
Dalley, JW, Everitt, BJ, Robbins, TW (2011). Impulsivity, compulsivity and top-down cognitive control. Neuron 69, 680694.Google Scholar
Dawe, S, Loxton, NJ (2004). The role of impulsivity in the development of substance use and eating disorders. Neuroscience and Biobehavioral Reviews 28, 343351.CrossRefGoogle ScholarPubMed
De Leon, G (2000). The Therapeutic Community: Theory, Model, and Method. Springer: New York.Google Scholar
De Wilde, B, Verdejo-Garcia, A, Sabbe, B, Hulstijn, W, Dom, G (2013). Affective decision-making is predictive of three-month relapse in polysubstance-dependent alcoholics. European Addiction Research 19, 2128.CrossRefGoogle ScholarPubMed
Diergaarde, L, Pattij, T, Poortvliet, I, Hogenboom, F, de Vries, W, Schoffelmeer, AN, De Vries, TJ (2008). Impulsive choice and impulsive action predict vulnerability to distinct stages of nicotine seeking in rats. Biological Psychiatry 63, 301308.Google Scholar
Evenden, J (1999). Impulsivity: a discussion of clinical and experimental findings. Journal of Psychopharmacology 13, 180192.Google Scholar
Everitt, BJ, Belin, D, Economidou, D, Pelloux, Y, Dalley, JW, Robbins, TW (2008). Neural mechanisms underlying the vulnerability to develop compulsive drug-seeking habits and addiction. Philosophical Transactions of the Royal Society B: Biological Sciences 363, 31253135.Google Scholar
Eysenck, H, Eysenck, MW (1985). Personality and Individual Differences: A Natural Science Approach. Plenum: New York.Google Scholar
Fernández-Serrano, MJ, Moreno-Lopez, L, Perez-Garcia, M, Viedma-Del Jesus, MI, Sanchez-Barrera, MB, Verdejo-Garcia, A (2011). Negative mood induction normalizes decision making in male cocaine dependent individuals. Psychopharmacology (Berlin) 217, 331339.Google Scholar
Garavan, H, Weierstall, K (2012). The neurobiology of reward and cognitive control systems and their role in incentivizing health behavior. Preventive Medicine 55, 1723.Google Scholar
Goudriaan, AE, Oosterlaan, J, De Beurs, E, van Den Brink, W (2008). The role of self-reported impulsivity and reward sensitivity versus neurocognitive measures of disinhibition and decision-making in the prediction of relapse in pathological gamblers. Psychological Medicine 38, 4150.CrossRefGoogle ScholarPubMed
García-Rodríguez, O, Secades-Villa, R, Higgins, ST, Fernández-Hermida, JR, Carballo, JL, Errasti Pérez, JM, Al-halabi Diaz, S (2009). Effects of voucher-based intervention on abstinence and retention in an outpatient treatment for cocaine addiction: a randomized controlled trial. Experimental and Clinical Psychopharmacology 17, 131138.Google Scholar
Hayes, AF (2012). PROCESS: a versatile computational tool for observed variable mediation, moderation, and conditional process modeling [white paper] (http://www.afhayes.com/public/process2012.pdf).Google Scholar
Higgins, ST, Badger, GJ, Budney, AJ (2000). Initial abstinence and success in achieving longer term cocaine abstinence. Experimental and Clinical Psychopharmacology 8, 377386.Google Scholar
Logan, GD, Cowan, WB, Davis, KA (1984). On the ability to inhibit simple and choice reaction time responses: a model and a method. Journal of Experimental Psychology: Human Perception and Performance 10, 276291.Google Scholar
MacKillop, J, Kahler, CW (2009). Delayed reward discounting predicts treatment response for heavy drinkers receiving smoking cessation treatment. Drug and Alcohol Dependence 104, 197203.Google Scholar
MacKinnon, DP (2008). Introduction to Statistical Mediation Analysis. Erlbaum: New York.Google Scholar
McLellan, AT, Luborsky, L, Woody, GE, O'Brien, CP (1980). An improved diagnostic evaluation instrument for substance abuse patients. The Addiction Severity Index. Journal of Nervous and Mental Diseases 168, 2633.Google Scholar
Mole, TB, Irvine, MA, Worbes, Y, Collins, P, Mitchell, SP, Boltoni, S, Harrison, NA, Robbins, TW, Voon, V (2014). Impulsivity in disorders of food and drug misuse. Psychological Medicine. Published online 14 August 2014. doi:10.1017/S0033291714001834.Google ScholarPubMed
Passetti, F, Clark, L, Davis, P, Mehta, MA, White, S, Checinski, K, King, M, Abou-Saleh, M (2011). Risky decision-making predicts short-term outcome of community but not residential treatment for opiate addiction. Implications for case management. Drug and Alcohol Dependence 118, 1218.CrossRefGoogle Scholar
Passetti, F, Clark, L, Mehta, MA, Joyce, E, King, M (2008). Neuropsychological predictors of clinical outcome in opiate addiction. Drug and Alcohol Dependence 94, 8291.Google Scholar
Paterson, NE, Wetzler, C, Hackett, A, Hanania, T (2011). Impulsive action and impulsive choice are mediated by distinct neuropharmacological substrates in rat. International Journal on Neuropsychopharmacology 18, 115.Google Scholar
Patton, JH, Stanford, MS, Barratt, ES (1995). Factor structure of the Barratt Impulsiveness Scale. Journal of Clinical Psychology 51, 768774.3.0.CO;2-1>CrossRefGoogle ScholarPubMed
Powell, J, Dawkins, L, West, R, Powell, J, Pickering, A (2010). Relapse to smoking during unaided cessation: clinical, cognitive and motivational predictors. Psychopharmacology (Berlin) 212, 537549.Google Scholar
Raes, V, Lombaert, G, Keymeulen, R (2008). De Nederlandse vertaling van de handleiding voor training en afname van Europ-ASI vraaggesprekken, aangepast voor België-Vlaanderen, met integratie van de Treatment Demand Indicator (The Dutch Translation of the Manual for Training and Purchase of Europ-ASI Interviews, Adjusted for Belgium-Flanders, with Integration of the Treatment Demand Indicator). De Sleutel Dienst Wetenschappelijk Onderzoek: Gent.Google Scholar
Reynolds, B, Ortengren, A, Richards, JB, de Wit, H (2006). Dimensions of impulsive behaviour: personality and behavioural measures. Personality and Individual Differences 40, 305315.CrossRefGoogle Scholar
Ringe, WK, Saine, KC, Lacritz, LH, Hynan, LS, Cullum, CM (2002). Dyadic short forms of the Wechsler Adult Intelligence Scale-III. Assessment 9, 254260.Google Scholar
Schmaal, L, Goudriaan, AE, Joos, L, Dom, G, Pattij, T, van den Brink, W, Veltman, DJ (2014). Neural substrates of impulsive decision making modulated by modafinil in alcohol-dependent patients. Psychological Medicine 44, 27872798.Google Scholar
Sharma, L, Clark, LA, Markon, KE (2014). Toward a theory of distinct types of “impulsive” behaviors: a meta-analysis of self-report and behavioral measures. Psychological Bulletin 140, 374408.Google Scholar
Sheehan, DV, Lecrubier, Y, Sheehan, KH, Amorim, P, Janavs, J, Weiller, E, Hergueta, T, Baker, R, Dunbar, GC (1998). The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry 59, 2233.Google ScholarPubMed
Sheffer, C, Mackillop, J, McGeary, J, Landes, R, Carter, L, Yi, R, Jones, B, Christensen, D, Stitzer, M, Jackson, L, Bickel, W (2012). Delay discounting, locus of control, and cognitive impulsiveness independently predict tobacco dependence treatment outcomes in a highly dependent, lower socioeconomic group of smokers. American Journal on Addictions 21, 221232.Google Scholar
Stevens, L, Betanzos-Espinosa, P, Crunelle, CL, Vergara-Moragues, E, Roeyers, H, Lozano, O, Dom, G, Gonzalez-Saiz, F, Vanderplasschen, W, Verdejo-García, A, Pérez-García, M (2013). Disadvantageous decision-making as a predictor of drop-out among cocaine-dependent individuals in long-term residential treatment. Frontiers in Psychiatry 15, 149.Google Scholar
Stevens, L, Verdejo-Garcia, A, Goudriaan, AE, Roeyers, H, Dom, G, Vanderplasschen, W (2014). Impulsivity as a vulnerability factor for poor addiction treatment outcomes: a review of neurocognitive findings among individuals with substance use disorders. Journal of Substance Abuse Treatment 47, 5872.Google Scholar
Verdejo-García, A, Betanzos-Espinosa, P, Lozano, OM, Vergara-Moragues, E, González-Saiz, F, Fernández-Calderón, F, Bilbao-Acedos, I, Pérez-García, M (2012). Self-regulation and treatment retention in cocaine dependent individuals: a longitudinal study. Drug and Alcohol Dependence 122, 142148.CrossRefGoogle ScholarPubMed
Verdejo-Garcia, A, Lawrence, AJ, Clark, L (2008). Impulsivity as a vulnerability marker for substance-use disorders: review of findings from high-risk research, problem gamblers and genetic association studies. Neuroscience and Biobehavioral Reviews 32, 777810.Google Scholar
Verdejo-Garcia, AJ, Lopez-Torrecillas, F, Aguilar de Arcos, F, Perez-Garcia, M (2005). Differential effects of MDMA, cocaine, and cannabis use severity on distinctive components of the executive functions in polysubstance users: a multiple regression analysis. Addictive Behaviors 30, 89101.Google Scholar
Washio, Y, Higgins, ST, Heil, SH, McKerchar, TL, Badger, GJ, Skelly, JM, Dantona, ML (2011). Delay discounting is associated with treatment response among cocaine-dependent outpatients. Experimental and Clinical Psychopharmacology 19, 243248.Google Scholar
Wechsler, D (1997). WAIS-III, Nederlandstalige bewerking, technische handleiding (WAIS-III, Dutch Version Manual). Swets Test: Lisse, the Netherlands.Google Scholar
Weller, JA, Levin, IP, Shiv, B, Bechara, A (2007). Neural correlates of adaptive decision-making for risky gains and losses. Psychological Science 18, 958964.Google Scholar
Whiteside, SP, Lynam, DR (2001). The Five Factor Model and impulsivity: using a structural model of personality to understand impulsivity. Personality and Individual Differences 30, 669689.CrossRefGoogle Scholar
Wiers, RW, Ames, SL, Hofmann, W, Krank, M, Stacy, AW (2010). Impulsivity, impulsive and reflective processes and the development of alcohol use and misuse in adolescents and young adults. Frontiers in Psychology 1, 144.Google Scholar
Winstanley, CA, Eagle, DM, Robbins, TW (2006). Behavioral models of impulsivity in relation to ADHD: translation between clinical and preclinical studies. Clinical Psychology Review 26, 3796.Google Scholar
Wittmann, M, Leland, DS, Paulus, MP (2007). Time and decision making: differential contribution of the posterior insular cortex and the striatum during a delay discounting task. Experimental Brain Research 179, 643653.Google Scholar
Yoon, JH, Higgins, ST, Heil, SH, Sugarbaker, RJ, Thomas, CS, Badger, GJ (2007). Delay discounting predicts postpartum relapse to cigarette smoking among pregnant women. Experimental and Clinical Psychopharmacology 15, 176186.Google Scholar
Zhang, Z, Friedmann, PD, Gerstein, DR (2003). Does retention matter? Treatment duration and improvement in drug use. Addiction 98, 673684.CrossRefGoogle ScholarPubMed
Zuckerman, M, Eysenck, S, Eysenck, HJ (1978). Sensation seeking in England and America: cross-cultural, age, and sex comparisons. Journal of Consulting and Clinical Psychology 46, 139149.Google Scholar