Eric L Garland1, Matthew O Howard2. 1. Integrative Medicine, Huntsman Cancer Institute, University of Utah, 395 South, 1500 East, Salt Lake City, UT 84112, United States; College of Social Work & Huntsman Cancer Institute, University of Utah, 395 South, 1500 East, Salt Lake City, UT 84112, United States. 2. University of North Carolina, Chapel Hill, Tate Turner Kuralt Bldg. 325 Pittsboro St. no. 3550, Chapel Hill, NC 27599, United States.
Abstract
BACKGROUND: Some chronic pain patients receiving long-termopioid analgesic pharmacotherapy are at risk for misusing opioids. Like other addictive behaviors, risk of opioid misuse may be signaled by an attentional bias (AB) towards drug-related cues. The purpose of this study was to examine opioid AB as a potential predictor of opioid misuse among chronic pain patients following behavioral treatment. METHODS:Chronic pain patients taking long-term opioid analgesics (n=47) completed adot probe task designed to assess opioid AB, as well as self-report measures of opioid misuse and pain severity, and then participated in behavioral treatment. Regression analyses examined opioid AB and cue-elicited craving as predictors of opioid misuse at 3-month posttreatment follow-up. RESULTS: Patients who scored high on a measure of opioid misuse risk following treatment exhibited significantly greater opioid AB scores than patients at low risk for opioid misuse. Opioid AB for 200 ms cues and cue-elicited craving significantly predicted opioid misuse risk 20 weeks later, even after controlling for pre-treatment opioid dependence diagnosis, opioid misuse, and pain severity (Model R(2)=.50). CONCLUSION: Biased initial attentional orienting to prescription opioid cues and cue-elicited craving may reliably signal future opioid misuse risk following treatment. These measures may therefore provide potential prognostic indicators of treatment outcome.
RCT Entities:
BACKGROUND: Some chronic painpatients receiving long-term opioid analgesic pharmacotherapy are at risk for misusing opioids. Like other addictive behaviors, risk of opioid misuse may be signaled by an attentional bias (AB) towards drug-related cues. The purpose of this study was to examine opioid AB as a potential predictor of opioid misuse among chronic painpatients following behavioral treatment. METHODS:Chronic painpatients taking long-term opioid analgesics (n=47) completed a dot probe task designed to assess opioid AB, as well as self-report measures of opioid misuse and pain severity, and then participated in behavioral treatment. Regression analyses examined opioid AB and cue-elicited craving as predictors of opioid misuse at 3-month posttreatment follow-up. RESULTS:Patients who scored high on a measure of opioid misuse risk following treatment exhibited significantly greater opioid AB scores than patients at low risk for opioid misuse. Opioid AB for 200 ms cues and cue-elicited craving significantly predicted opioid misuse risk 20 weeks later, even after controlling for pre-treatment opioid dependence diagnosis, opioid misuse, and pain severity (Model R(2)=.50). CONCLUSION: Biased initial attentional orienting to prescription opioid cues and cue-elicited craving may reliably signal future opioid misuse risk following treatment. These measures may therefore provide potential prognostic indicators of treatment outcome.
Authors: Benjamin Rolland; Fabien D'Hondt; Solène Montègue; Mélanie Brion; Eric Peyron; Julia D'Aviau de Ternay; Philippe de Timary; Mikaïl Nourredine; Pierre Maurage Journal: Neuropsychol Rev Date: 2019-01-03 Impact factor: 7.444
Authors: Brian Suffoletto; Joseph Yanta; Ryan Kurtz; Gerald Cochran; Antoine Douaihy; Tammy Chung Journal: J Addict Med Date: 2017 Nov/Dec Impact factor: 3.702
Authors: Tanya C Saraiya; Amber M Jarnecke; Jennifer Jones; Delisa G Brown; Kathleen T Brady; Sudie E Back Journal: Drug Alcohol Depend Date: 2021-05-21 Impact factor: 4.852
Authors: Anna Parisi; Hannah Louise Landicho; Justin Hudak; Siri Leknes; Brett Froeliger; Eric L Garland Journal: Drug Alcohol Depend Date: 2022-02-24 Impact factor: 4.852