Decision-making impairment predicts 3-month hair-indexed cocaine relapse |
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Authors: | Antonio Verdejo-Garcia Natalia Albein-Urios Jose Miguel Martinez-Gonzalez Ester Civit Rafael de la Torre Oscar Lozano |
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Affiliation: | 1. Red de Trastornos Adictivos, Universidad de Granada, Granada, Spain 2. Department of Clinical Psychology & Institute of Neuroscience F. Oloriz, Universidad de Granada, Granada, Spain 3. School of Psychology and Psychiatry, Monash University, 3800 Wellington Rd. Clayton Campus, Melbourne, Australia 4. Centro Provincial de Drogodependencias, Diputación de Granada, Granada, Spain 5. Human Pharmacology and Clinical Neurosciences Research Group, IMIM-Institut de Recerca Hospital del Mar, Barcelona, Spain 6. CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Santiago de Compostela, Spain 7. Universitat Pompeu Fabra (CEXS-UPF), Barcelona, Spain 8. Department of Psychology, Universidad de Huelva, Granada, Spain
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Abstract: | Rationale One of the key outstanding challenges in cocaine dependence research is determining who is at risk of relapsing during treatment. Objectives We examined whether cognitive decision-making profiles predict objectively (hair) indexed cocaine relapse at 3-month follow-up. Methods Thirty-three cocaine-dependent patients commencing outpatient treatment in a public clinic performed baseline decision-making assessments with the original and variant versions of the Iowa Gambling Task, and provided a 3-cm hair sample 3 months afterwards. Based on Iowa Gambling Tasks’ performance cut-offs, 5 patients had intact decision-making skills, 17 patients showed impaired sensitivity to reward or punishment (impairment in one of the tasks), and 9 patients showed insensitivity to future consequences (impairment in both tasks). Based on a 0.3 ng/mg cocaine cut-off, 23 patients were classified as relapsers and 10 as non-relapsers at the 3-month follow-up. Results Eighty percent of patients with intact decision-making were abstinent at follow-up, whereas 90 % of patients with insensitivity to future consequences had relapsed. The two subgroups (relapsers and non-relapsers) showed no significant differences on drug use, comorbidities, or psychosocial function, and significantly differed on verbal but not performance IQ. A regression model including decision-making scores and verbal IQ predicted abstinence status with high sensitivity (95 %) and moderately high specificity (81 %). Conclusion These preliminary findings demonstrate that decision-making profiles are associated with cocaine relapse. Moreover, combined decision-making and IQ assessments provide optimal predictive values over stimulant relapse, yielding significant opportunities for clinical translation. |
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