Disadvantageous decision-making as a predictor of drop-out among cocaine-dependent individuals in long-term residential treatment

Frontiers in Psychiatry

Volumn 4, Issue NOV, 2013, Pages

  Stevens, Laura ^a   Betanzos Espinosa, Patricia ^b   Crunelle, Cleo L ^c   Vergara Moragues, Esperanza ^b,d   Roeyers, Herbert ^a   Lozano, Oscar ^b,e   Dom, Geert ^c,f   Gonzalez Saiz, Francisco ^b,g   Vanderplasschen, Wouter ^a   Verdejo García, Antonio ^b,h   Pérez García, Miguel ^b  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF GRANADA   (Spain)

^c UNIVERSITY OF ANTWERP   (Belgium)

^d UNIVERSIDAD INTERNACIONAL DE LA RIOJA   (Spain)

^e UNIVERSITY OF HUELVA   (Spain)

^f Psychiatric Centre Brothers Alexians   (Belgium)

^g HOSPITAL DE JEREZ   (Spain)

^h MONASH UNIVERSITY   (Australia)

Author keywords

Addiction treatment outcomes; Cocaine dependence; decision making; Drop out; Treatment retention

Indexed keywords

COCAINE;

ADULT; ARTICLE; COCAINE DEPENDENCE; COGNITIVE THERAPY; CONTROLLED STUDY; DECISION MAKING; FEMALE; GAMBLING; HUMAN; LONG TERM CARE; MAJOR CLINICAL STUDY; MALE; OCCUPATIONAL THERAPY; PREDICTION; PSYCHOEDUCATION; RESIDENTIAL CARE; RISK FACTOR; TASK PERFORMANCE; THERAPEUTIC COMMUNITY; TREATMENT WITHDRAWAL;

EID: 84889667147     PISSN: None     EISSN: 16640640     Source Type: Journal    
DOI: 10.3389/fpsyt.2013.00149     Document Type: Article

References (62)

1. Kampman KM, Alterman AI, Volpicelli JR, Maany I, Muller ES, Luce DD, et al. Cocaine withdrawal symptoms and initial urine toxicology results predict treatment attrition in outpatient cocaine dependence treatment. Psychol Addict Behav (2001) 15:52-9. doi: 10.1037/0893-164X.15.1.52
2. Siqueland L, Crits-Christoph P, Gallop R, Barber JP, Griffin ML, Thase ME, et al. Retention in psychosocial treatment of cocaine dependence: predictors and impact on outcome. Am J Addict (2002) 11:24-40. doi:10.1080/10550490252801611
3. Streeter CC, Terhune DB, Whitfield TH, Gruber S, Sarid-Segal O, Silver MM, et al. Performance on the stroop predicts treatment compliance in cocaine-dependent individuals. Neuropsychopharmacology (2008) 33:827-36. doi:10.1038/sj.npp.1301465
4. Ball SA, Carroll KM, Canning-Ball M, Rounsaville BJ. Reasons for dropout from drug abuse treatment: symptoms, personality, and motivation. Addict Behav (2006) 31:320-30. doi:10.1016/j.addbeh.2005.05.013
5. Hser YI, Evans E, Huang D, Anglin DM. Relationship between drug treatment services, retention, and outcomes. Psychiatr Serv (2004) 55:767-74. doi:10.1176/appi.ps.55.7.767
6. King AC, Canada SA. Client-related predictors of early treatment drop-out in a substance abuse clinic exclusively employing individual therapy. J Subst Abuse Treat (2004) 26:189-95. doi:10.1016/S0740-5472(03)00210-1
7. Simpson DD, Joe GW, Brown BS. Treatment retention and follow-up outcomes in the drug abuse treatment outcome study (DATOS). Psychol Addict Behav (1997) 11:294-307. doi:10.1037/0893-164X.11.4.294
8. Gossop M, Marsden J, Stewart D, Rolfe A. Treatment retention and 1 year outcomes for residential programmes in England. Drug Alcohol Depend (1999) 57:89-98. doi:10.1016/S0376-8716(99)00086-1
9. Lang MA, Belenko S. Predicting retention in a residential drug treatment alternative to prison program. J Subst Abuse Treat (2000) 19:145-60. doi:10.1016/S0740-5472(00)00097-0
10. Siegal HA, Li L, Rapp RC. Case management as a therapeutic enhancement: impact on post- treatment criminality. J Addict Dis (2002) 21:37-46. doi:10.1300/J069v21n04_04
11. Darke S, Campbell G, Popple G. Retention, early dropout and treatment completion among therapeutic community admissions. Drug Alcohol Rev (2012) 31:64-71. doi:10.1111/j.1465-3362.2011.00298.x
12. Vanderplasschen W, Colpaert K, Autrique M, Rapp RC, Pearce S, Broekaert E, et al. Therapeutic communities for addictions: a review of their effectiveness from a recovery-oriented perspective. ScientificWorldJournal (2013) 2013:427817. doi:10.1155/2013/427817
13. Aharonovich E, Hasin DS, Brooks AC, Liu X, Bisaga A, Nunes EV. Cognitive deficits predict low treatment retention in cocaine dependent patients. Drug Alcohol Depend (2006) 81:313-22. doi:10.1016/j.drugalcdep.2005.08.003
14. Brewer JA, Worhunsky PD, Carroll KM, Rounsaville BJ, Potenza MN. Pre-treatment brain activation during stroop task is associated with outcomes in cocaine dependent patients. Biol Psychiatry (2008) 64:998-1004. doi:10.1016/j.biopsych.2008.05.024
15. Cunha PJ, Nicastri S, Gomes LP, Moino RM, Peluso MA. Neuropsychological impairments in crack cocaine-dependent inpatients: preliminary findings. Rev Bras Psiquiatr (2004) 26:103-6. doi:10.1590/S1516-44462004000200007
16. Tucker KA, Potenza MN, Beauvais JE, Browndyke JN, Gottschalk PC, Kosten TR. Perfusion abnormalities and decision making in cocaine dependence. Biol Psychiatry (2004) 56:527-30. doi:10.1016/j.biopsych.2004.06.031
17. Turner TH, LaRowe S, Horner MD, Herron J, Malcolm R. Measures of cognitive functioning as predictors of treatment outcome for cocaine dependence. J Subst Abuse Treat (2009) 37:328-34. doi:10.1016/j.jsat.2009.03.009
18. Carroll KM, Kiluk BD, Nich C, Babuscio TA, Brewer JA, Potenza MN, et al. Cognitive function and treatment response in a randomized clinical trial of computer-based training in cognitive-behavioral therapy. Subst Use Misuse (2011) 46:23-34. doi:10.3109/10826084.2011.521069
19. Verdejo-García A, Betanzos-Espinosa P, Lozano OM, Vergara-Moragues E, González-Saiz F, Fernández-Calderón F, et al. Self-regulation and treatment retention in cocaine dependent individuals: a longitudinal study. Drug Alcohol Depend (2012) 122:142-8. doi:10.1016/j.drugalcdep.2011.09.025
20. Bechara A. Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat Neurosci (2005) 8:1458-63. doi:10.1038/nn1584
21. Verdejo-García A, Bechara A. A somatic marker theory of addiction. Neuropharmacology (2009) 56:48-62. doi:10.1016/j.neuropharm.2008.07.035
22. Bechara A, Damasio H, Damasio AR. Emotion, decision-making and the orbitofrontal cortex. Cereb Cortex (2000) 10:295-307. doi:10.1093/cercor/10.3.295
23. Bechara A. The role of emotion in decision-making: evidence from neurological patients with orbitofrontal damage. Brain Cogn (2004) 55:30-40. doi:10.1016/j.bandc.2003.04.001
24. Bechara A, Damasio AR, Damasio H, Anderson SW. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition (1994) 50:7-15. doi:10.1016/0010-0277(94)90018-3
25. Grant S, Contoreggi C, London ED. Drug abusers show impaired performance in a laboratory test of decision making. Neuropsychologia (2000) 38:1180-7. doi:10.1016/S0028-3932(99)00158-X
26. Cunha PJ, Bechara A, Guerra de Andrade A, Nicastri S. Decision-making deficits linked to real life social dysfunction in crack cocaine-dependent individuals. Am J Addict (2011) 20:78-86. doi:10.1111/j.1521-0391.2010.00097.x
27. Rogers RD, Everitt BJ, Baldacchino A, Blackshaw AJ, Swainson R, Wynne K, et al. Dissociable deficits in the decision-making cognition of chronic amphetamine abusers, opiate abusers, patients with focal damage to prefrontal cortex, and tryptophan-depleted normal volunteers: evidence for monoaminergic mechanisms. Neuropsychopharmacology (1999) 20:322-39. doi:10.1016/S0893-133X(98)00091-8
28. Bechara A, Dolan S, Denburg N, Hindes A, Anderson SW, Nathan PE. Decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in alcohol and stimulant abusers. Neuropsychologia (2001) 39:376-389. doi:10.1016/S0028-3932(00)00136-6
29. Verdejo-Garcia A, Benbrook A, Funderburk F, David P, Cadet JL, Bolla KI. The differential relationship between cocaine use and marijuana use on decision-making performance and repeat testing with the Iowa gambling task. Drug Alcohol Depend (2007) 90:2-11. doi:10.1016/j.drugalcdep.2007.02.004
30. Passetti F, Clark L, Mehta MA, Joyce E, King M. Neuropsychological predictors of clinical outcome in opiate addiction. Drug Alcohol Depend (2008) 94:82-91. doi:10.1016/j.drugalcdep.2007.10.008
31. Passetti F, Clark L, Davis P, Mehta MA, White S, Checinski K, et al. Risky decision-making predicts short-term outcome of community but not residential treatment for opiate addiction. Implications for case management. Drug Alcohol Depend (2011) 118:12-8. doi:10.1016/j.drugalcdep.2011.02.015
32. Schmitz JM, Mooney ME, Green CE, Lane SD, Steinberg JL, Swann AC, et al. Baseline neurocognitive profiles differentiate abstainers and non-abstainers in a cocaine clinical trial. J Addict Dis (2009) 28:250-7. doi:10.1080/10550880903028502
33. Torrens M, Serrano D, Astals M, Perez-Dominguez G, Martin-Santos R. Diagnosing comorbid psychiatric disorders in substance abusers: validity of the Spanish versions of the Psychiatric Research Interview for Substance and Mental Disorders and the Structured Clinical Interview for DSM-IV. Am J Psychiatry (2004) 161:1231-7. doi:10.1176/appi.ajp.161.7.1231
34. Verdejo-García A, López-Torrecillas F, Aguilar de Arcos F, Pérez-García M. Differential effects of MDMA, cocaine, and cannabis use severity on distinctive components of the executive functions in polysubstance users, a multiple regression analysis. Addict Behav (2005) 30:89-101. doi:10.1016/j.addbeh.2004.04.015
35. Howell DC. Statistical Methods for Psychology. Belmont, CA: Duxbury Press (1997).
36. Brand M, Recknor EC, Grabenhorst F, Bechara A. Decisions under ambiguity and decisions under risk: correlations with executive functions and comparisons of two different gambling tasks with implicit and explicit rules. J Clin Exp Neuropsychol (2007) 29:86-99. doi:10.1080/13803390500507196
37. Upton DJ, Bishara AJ, Ahn W, Stout JC. Propensity for risk taking and trait impulsivity in the Iowa gambling task. Pers Individ Dif (2011) 50:492-5. doi:10.1016/j.paid.2010.11.013
38. Bechara A, Damasio H. Decision-making and addiction (part I): impaired activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia (2002) 40:1675-89. doi:10.1016/S0028-3932(02)00015-5
39. Damasio AR. Descartes Error: Emotion, Reason and the Human Brain. New York: Avon (1994).
40. Dunn BD, Dalgleish T, Lawrence AD. The somatic marker hypothesis: a critical evaluation. Neurosci Biobehav Rev (2006) 30:239-71. doi:10.1016/j.neubiorev.2005.07.001
41. Bowden-Jones H, McPhillips M, Rogers R, Hutton S, Joyce E. Risk-taking on tests sensitive to ventromedial prefrontal cortex dysfunction predicts early relapse in alcohol dependency: a pilot study. J Neuropsychiatry Clin Neurosci (2005) 17:417-20. doi:10.1176/appi.neuropsych.17.3.417
42. De Wilde B, Verdejo-Garcia A, Sabbe B, Hulstijn W, Dom G. Affective decision-making is predictive of three-month relapse in polysubstance-dependent alcoholics. Eur Addict Res (2013) 19:21-8. doi:10.1159/000339290
43. Brevers D, Cleeremans A, Goudriaan AE, Bechara A, Kornreich C, Verbanck P, et al. Decision making under ambiguity but not under risk is related to problem gambling severity. Psychiatry Res (2012) 200:568-74. doi:10.1016/j.psychres.2012.03.053
44. Dunn BD, Galton HC, Morgan R, Evans D, Oliver C, Meyer M, et al. Listening to your heart: how interoception shapes emotion experience and intuitive decision making. Psychol Sci (2010) 21:1835-44. doi:10.1177/0956797610389191
45. Alfonso JP, Caracuel A, Delgado-Pastor LC, Verdejo-García A. Combined goal management training and mindfulness meditation improve executive functions and decision-making performance in abstinent polysubstance abusers. Drug Alcohol Depend (2011) 117:78-81. doi:10.1016/j.drugalcdep.2010.12.025
46. Fernandez-Serrano MJ, Moreno-Lopez L, Perez-Garcia M, Viedma-Del Jesus MI, Sanchez-Barrera MB, Verdejo-Garcia A. Negative mood induction normalizes decision making in male cocaine dependent individuals. Psychopharmacology (Berl) (2011) 217:331-9. doi:10.1007/s00213-011-2288-2
47. Gullo MJ, Stieger AA. Anticipatory stress restores decision-making deficits in heavy drinkers by increasing sensitivity to losses. Drug Alcohol Depend (2011) 117:204-10. doi:10.1016/j.drugalcdep.2011.02.002
48. Martinez D, Carpenter KM, Liu F, Slifstein M, Broft A, Friedman AC, et al. Imaging dopamine transmission in cocaine dependence: link between neurochemistry and response to treatment. Am J Psychiatry (2011) 168:634-41. doi:10.1176/appi.ajp.2010.10050748
49. Fecteau S, Knoch D, Fregni F, Sultani N, Boggio PS, Pascual Leone A. Diminishing risk-taking behavior by modulating activity in the prefrontal cortex: a direct current stimulation study. J Neurosci (2007) 27:12500-5. doi:10.1523/JNEUROSCI.3283-07.2007
50. Knoch D, Gianotti LRR, Pascua Leone A, Treyer V, Regard M, Hohmann M, et al. Disruption of right prefrontal cortex by low frequency repetitive transcranial magnetic stimulation induces risk taking behavior. J Neurosci (2006) 26:6469-72. doi:10.1523/JNEUROSCI.0804-06.2006
51. Amodeo M, Chassler D, Oettinger C, Labiosa W, Lundgren LM. Client retention in residential drug treatment for Latinos. Eval Program Plann (2008) 31:102-12. doi:10.1016/j.evalprogplan.2007.05.008
52. Curran GM, Kirchner JE, Worley M, Rookey C, Booth BM. Depressive symptomatology and early attrition from intensive outpatient substance use treatment. J Behav Health Serv Res (2002) 29:138-43. doi:10.1097/00075484-200205000-00004
53. Moeller FG, Dougherty DM, Barratt ES, Schmitz JM, Swann AC, Grabowski J. The impact of impulsivity on cocaine use and retention in treatment. J Subst Abuse Treat (2001) 21:193-8. doi:10.1016/S0740-5472(01)00202-1
54. Patkar AA, Murray HW, Mannelli P, Gottheil E, Weinstein SP, Vergare MJ. Pre-treatment measures of impulsivity, aggression and sensation seeking are associated with treatment outcome for African-American cocaine-dependent patients. J Addict Dis (2004) 23:109-22. doi:10.1300/J069v23n02_08
55. McKellar J, Kelly J, Harris A, Moos R. Pretreatment and during treatment risk factors for dropout among patients with substance use disorders. Addict Behav (2006) 31:450-60. doi:10.1016/j.addbeh.2005.05.024
56. Brocato J, Wagner EF. Predictors of retention in an alternative-to-prison substance abuse treatment program. Crim Justice Behav (2008) 35:99-119. doi:10.1177/0093854807309429
57. Joe GW, Simpson DD, Broome KM. Effects of readiness for drug abuse treatment on client retention and assessment of process. Addiction (1998) 93:1177-90. doi:10.1080/09652149835008
58. Simpson DD, Joe GW. Motivation as a predictor of early dropout from drug abuse treatment. Psychotherapy (1993) 30:357-68. doi:10.1037/0033-3204.30.2.357
59. Peters EN, Petry NM, Lapaglia DM, Reynolds B, Carroll KM. Delay discounting in adults receiving treatment for Marijuana dependence. Exp Clin Psychopharmacol (2013) 21:46-54. doi:10.1037/a0030943
60. Bates ME, Buckman JF, Nguyen TT. A Role for cognitive rehabilitation in increasing the effectiveness of treatment for alcohol use disorders. Neuropsychol Rev (2013) 23:27-47. doi:10.1007/s11065-013-9228-3
61. Bates ME, Pawlak AP, Tonigan JS, Buckman JF. 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
62. Le Berre AP, Vabret F, Cauvin C, Pinon K, Allain P, Pitel AL, et al. Cognitive barriers to readiness to change in alcohol-dependent patients. Alcohol Clin Exp Res (2012) 36:1542-9. doi:10.1111/j.1530-0277.2012.01760.x