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Baseline Executive Functions and Receiving Cognitive Rehabilitation Can Predict Treatment Response in People With Opioid Use Disorder Publisher Pubmed



Rezapour T1 ; Hatami J2 ; Farhoudian A3 ; Noroozi A4 ; Daneshmand R5 ; Sofuoglu M6, 7 ; Baldacchino A8 ; Ekhtiari H9
Authors
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Authors Affiliations
  1. 1. Department of Cognitive Psychology, Institute for Cognitive Science Studies, Tehran, Iran
  2. 2. Department of Psychology, Faculty of Psychology and Education, University of Tehran, Tehran, Iran
  3. 3. Department of Psychiatry, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences (TUMS), Tehran, Iran
  5. 5. Substance Abuse and Dependence Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
  6. 6. Department of Psychiatry, School of Medicine, Yale University, CT, United States
  7. 7. VA Connecticut Healthcare System, West Haven, CT, United States
  8. 8. University of St Andrews, School of Medicine, Division of Population and Behavioral Sciences, St Andrews, Scotland, United Kingdom
  9. 9. Laureate Institute for Brain Research (LIBR), Tulsa, OK, United States

Source: Journal of Substance Abuse Treatment Published:2021


Abstract

Background: Impaired cognitive functions, particularly executive function, predicts poor treatment success in people with substance use disorders. The current study investigated the effect of receiving adjunct cognitive rehabilitation and baseline executive function (EF) measures on treatment response among people with opioid use disorder (OUD). Method: The analysis sample consisted of 113 participants with OUD who were discharged from a compulsory court-mandated methadone maintenance treatment (MMT) and followed for 3 months. We used the Backward digit span/Auditory verbal learning, Stroop, and Trail making tests to assess the three measures of EF, including working memory, inhibition, and shifting, respectively. Treatment response was operationalized as (1) treatment retention and (2) the number of positive urine tests for morphine during 3-month follow-up periods. The study used Cox's proportional hazards model and linear mixed model to identify predictive factors. Results: Lower Stroop interference scores predicted increased length of stay in treatment (χ2 = 33.15, P < 0.001). The linear mixed model showed that scores on auditory verbal learning test and group intervention predicted the number of positive urine tests during a 3-month follow-up. Conclusion: Working memory and inhibitory control, as well as receiving cognitive rehabilitation, could be potentially considered as predictors of treatment response for newly MMT admitted patients with OUD. Assessment of EF before treatment initiation may inform treatment providers about patient's cognitive deficits that may interfere with therapeutic interventions. © 2021 Elsevier Inc.
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