Publication

Clinical Correlates of Attentional Bias to Drug Cues Associated with Cocaine Dependence

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Last modified
  • 05/20/2025
Type of Material
Authors
    Ashley P. Kennedy, Emory UniversityRobin E. Gross, Emory UniversityTim Ely, Emory UniversityKaren Drexler, Emory UniversityClinton D. Kilts, Emory University
Language
  • English
Date
  • 2014-09-01
Publisher
  • Wiley: 12 months
Publication Version
Copyright Statement
  • © American Academy of Addiction Psychiatry.
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1055-0496
Volume
  • 23
Issue
  • 5
Start Page
  • 478
End Page
  • 484
Grant/Funding Information
  • This project was supported by NIH grants R21DA025243 (Emory University, Atlanta, GA; Clinton Kilts); and F31DA025491 (Emory University, Atlanta, GA; Ashley Kennedy) from the National Institute of Drug Abuse (NIDA); and the National Center for Research Resources grants UL RR025008 and TL1 RR025010 from the Atlanta Clinical and Translational Science Institute (ACTSI) (Emory University, Atlanta, GA).
Abstract
  • Background and Objective: Preoccupation (attentional bias) related to drug-related stimuli has been consistently observed for drug-dependent persons with several studies reporting an association of the magnitude of measured attentional bias with treatment outcomes. The major goal of the present study was to determine if pre-treatment attentional bias to personal drug use reminders in an addiction Stroop task predicts relapse in treatment-seeking, cocaine-dependent subjects. Methods: We sought to maximize the potential of attentional bias as a marker of risk for relapse by incorporating individualized rather than generalized drug use cues to reflect the personal conditioned associations that form the incentive motivation properties of drug cues in a sample of cocaine-dependent subjects (N = 35). Results: Although a significant group Stroop interference effect was present for drug versus neutral stimuli (ie, attentional bias), the level of attentional bias for cocaine-use words was not predictive of eventual relapse in this sample (d = .56). A similar lack of prediction power was observed for a non-drug counting word Stroop task as a significant interference effect was detected but did not predict relapse outcomes (d = .40). Conclusions and Scientific Significance: The results of the present study do not provide clear support for the predictive value of individual variation in drug-related attentional bias to forecast probability of relapse in cocaine-dependent men.
Author Notes
  • Clinton D. Kilts, PhD, Psychiatry Research Institute, University of Arkansas for Medical Sciences, 4301 W. Markham St, Mail Slot 554, Little Rock, AR 72205, CDKilts@uams.edu, Phone: (501) 526-8163, Fax: (501) 526-8199.
Keywords
Research Categories
  • Health Sciences, Mental Health
  • Psychology, Clinical
  • Psychology, Behavioral

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