Literature DB >> 29471922

Approach bias modification for cannabis use disorder: A proof-of-principle study.

Brian J Sherman1, Nathaniel L Baker2, Lindsay M Squeglia3, Aimee L McRae-Clark3.   

Abstract

BACKGROUND: More effective treatments for cannabis use disorder (CUD) are needed. Evidence suggests that biases in cognitive processing of drug-related stimuli are central to the development and maintenance of addiction. The current study examined the feasibility and effect of a novel intervention - approach bias modification (ApBM) - on cannabis approach bias and cue-reactivity.
METHODS: A randomized, double-blind, sham-controlled proof-of-principle laboratory experiment investigated the effect of a four-session computerized ApBM training protocol on cannabis approach bias and cue-reactivity in non-treatment seeking adults age 18-65 with CUD (N = 33). ApBM procedures involved responding to cannabis or neutral stimuli using a computer joystick to model approach or avoidance behavior. Reactivity to tactile, olfactory, and auditory cue sets was assessed with physiological (blood pressure and heart rate) and subjective (cannabis craving) measures. Cannabis use was assessed via self-report.
RESULTS: Participants receiving ApBM showed blunted cannabis cue-induced craving at the end of training compared to those in the sham-ApBM condition (p = .05). A preliminary gender effect on cannabis use was also found; men receiving ApBM reported fewer cannabis use sessions per day at the end of training compared to women (p = .02), while there were no differences between men and women in the sham condition. ApBM did not attenuate cannabis approach bias following training.
CONCLUSION: Preliminary results indicate that ApBM may be efficacious in reducing cannabis cue-reactivity and improving cannabis use outcomes. While encouraging, the results should be interpreted with caution. Investigation of ApBM as an adjunct to psychosocial treatments for treatment-seeking adults with CUD is warranted.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Approach bias modification; Cannabis; Cognitive bias; Marijuana; Treatment

Mesh:

Year:  2018        PMID: 29471922      PMCID: PMC5826579          DOI: 10.1016/j.jsat.2018.01.012

Source DB:  PubMed          Journal:  J Subst Abuse Treat        ISSN: 0740-5472


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Review 1.  Addiction.

Authors:  Terry E Robinson; Kent C Berridge
Journal:  Annu Rev Psychol       Date:  2002-06-10       Impact factor: 24.137

2.  Cue-induced striatal activity in frequent cannabis users independently predicts cannabis problem severity three years later.

Authors:  W A M Vingerhoets; L Koenders; W van den Brink; R W Wiers; A E Goudriaan; T van Amelsvoort; L de Haan; J Cousijn
Journal:  J Psychopharmacol       Date:  2015-12-08       Impact factor: 4.153

3.  Attentional bias predicts outcome in smoking cessation.

Authors:  Andrew J Waters; Saul Shiffman; Michael A Sayette; Jean A Paty; Chad J Gwaltney; Mark H Balabanis
Journal:  Health Psychol       Date:  2003-07       Impact factor: 4.267

4.  Re-training automatic action tendencies to approach cigarettes among adolescent smokers: a pilot study.

Authors:  Grace Kong; Helle Larsen; Dana A Cavallo; Daniela Becker; Janna Cousijn; Elske Salemink; Annemat L Collot D'Escury-Koenigs; Meghan E Morean; Reinout W Wiers; Suchitra Krishnan-Sarin
Journal:  Am J Drug Alcohol Abuse       Date:  2015       Impact factor: 3.829

5.  Response inhibition moderates the relationship between implicit associations and drinking behavior.

Authors:  Katrijn Houben; Reinout W Wiers
Journal:  Alcohol Clin Exp Res       Date:  2009-01-15       Impact factor: 3.455

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Authors:  Carolin Eberl; Reinout W Wiers; Steffen Pawelczack; Mike Rinck; Eni S Becker; Johannes Lindenmeyer
Journal:  Dev Cogn Neurosci       Date:  2012-11-14       Impact factor: 6.464

7.  The approach-avoidance task as an online intervention in cigarette smoking: a pilot study.

Authors:  Charlotte E Wittekind; Ansgar Feist; Brooke C Schneider; Steffen Moritz; Anja Fritzsche
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8.  Cognitive deficits in marijuana users: Effects on motivational enhancement therapy plus cognitive behavioral therapy treatment outcome.

Authors:  Efrat Aharonovich; Adam C Brooks; Edward V Nunes; Deborah S Hasin
Journal:  Drug Alcohol Depend       Date:  2008-03-07       Impact factor: 4.492

9.  Cognitive-motivational predictors of excessive drinkers' success in changing.

Authors:  W Miles Cox; Emmanuel M Pothos; Steven G Hosier
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