Literature DB >> 27776247

Delay discounting in opioid use disorder: Differences between heroin and prescription opioid users.

Sterling L Karakula1, Roger D Weiss2, Margaret L Griffin2, Allison M Borges3, Allen J Bailey4, R Kathryn McHugh2.   

Abstract

BACKGROUND: Among those with opioid use disorder, heroin use is associated with poorer prognosis relative to use of prescription opioids alone. However, relatively little is known about distinguishing features between those who use heroin relative to those who use prescription opioids. In the present study we evaluated differences in delay discounting in those with opioid use disorder based on primary opioid of use. Delay discounting is associated with a range of negative outcomes and is an important therapeutic target in this population.
METHODS: Treatment-seeking adults with opioid dependence completed self-report measures including past-month opioid use and the Monetary Choice Questionnaire (Kirby and Marakovic, 1996; Kirby et al., 1999), a measure of delay discounting. Participants were divided into two groups based on whether they used any heroin in the past 30days or only prescription opioids, and delay discounting scores were compared between the groups. Group differences in sociodemographic or clinical variables were included in the analysis as covariates.
RESULTS: Results from a forward stepwise linear regression indicated that heroin use was associated with significantly higher delay discounting (B=-0.99, SEB=0.34, t=-2.88, p=0.005), even when considering covariates.
CONCLUSIONS: Adults with opioid dependence who exclusively used prescription opioids had lower delay discounting relative to those who used heroin. This finding contributes further to the literature suggesting that heroin use is associated with greater clinical severity among those with opioid use disorder. Copyright Â
© 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Addiction; Delay discounting; Heroin; Impulsivity; Opioid use disorder; Prescription opioids

Mesh:

Substances:

Year:  2016        PMID: 27776247      PMCID: PMC5486990          DOI: 10.1016/j.drugalcdep.2016.10.009

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  40 in total

1.  Comparison between two measures of delay discounting in smokers.

Authors:  Leonard H Epstein; Jerry B Richards; Frances G Saad; Rocco A Paluch; James N Roemmich; Caryn Lerman
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2.  "I'm not afraid of those ones just 'cause they've been prescribed": perceptions of risk among illicit users of pharmaceutical opioids.

Authors:  Raminta Daniulaityte; Russel Falck; Robert G Carlson
Journal:  Int J Drug Policy       Date:  2012-03-13

Review 3.  A review of delay-discounting research with humans: relations to drug use and gambling.

Authors:  Brady Reynolds
Journal:  Behav Pharmacol       Date:  2006-12       Impact factor: 2.293

4.  Mediating influences of negative affect and risk perception on the relationship between sensation seeking and adolescent cigarette smoking.

Authors:  Neal Doran; Patricia E Sanders; Nicole M Bekman; Matthew J Worley; Teresa K Monreal; Elizabeth McGee; Kevin Cummins; Sandra A Brown
Journal:  Nicotine Tob Res       Date:  2011-03-24       Impact factor: 4.244

5.  Delay discounting decreases in those completing treatment for opioid dependence.

Authors:  Reid D Landes; Darren R Christensen; Warren K Bickel
Journal:  Exp Clin Psychopharmacol       Date:  2012-02-27       Impact factor: 3.157

Review 6.  The behavioral- and neuro-economic process of temporal discounting: A candidate behavioral marker of addiction.

Authors:  Warren K Bickel; Mikhail N Koffarnus; Lara Moody; A George Wilson
Journal:  Neuropharmacology       Date:  2013-06-24       Impact factor: 5.250

7.  Prescription opioid abuse among enrollees into methadone maintenance treatment.

Authors:  Andrew Rosenblum; Mark Parrino; Sidney H Schnoll; Chunki Fong; Carleen Maxwell; Charles M Cleland; Stephen Magura; J David Haddox
Journal:  Drug Alcohol Depend       Date:  2007-03-26       Impact factor: 4.492

8.  Does delay discounting play an etiological role in smoking or is it a consequence of smoking?

Authors:  Janet Audrain-McGovern; Daniel Rodriguez; Leonard H Epstein; Jocelyn Cuevas; Kelli Rodgers; E Paul Wileyto
Journal:  Drug Alcohol Depend       Date:  2009-05-14       Impact factor: 4.492

9.  Primary care office-based buprenorphine treatment: comparison of heroin and prescription opioid dependent patients.

Authors:  Brent A Moore; David A Fiellin; Declan T Barry; Lynn E Sullivan; Marek C Chawarski; Patrick G O'Connor; Richard S Schottenfeld
Journal:  J Gen Intern Med       Date:  2007-04       Impact factor: 5.128

10.  Vital Signs: Demographic and Substance Use Trends Among Heroin Users - United States, 2002-2013.

Authors:  Christopher M Jones; Joseph Logan; R Matthew Gladden; Michele K Bohm
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2015-07-10       Impact factor: 17.586

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  5 in total

Review 1.  Age and impulsive behavior in drug addiction: A review of past research and future directions.

Authors:  Evangelia Argyriou; Miji Um; Claire Carron; Melissa A Cyders
Journal:  Pharmacol Biochem Behav       Date:  2017-08-01       Impact factor: 3.533

Review 2.  Differences in decision-making as a function of drug of choice.

Authors:  Joshua L Gowin; Matthew E Sloan; Vijay A Ramchandani; Martin P Paulus; Scott D Lane
Journal:  Pharmacol Biochem Behav       Date:  2017-09-18       Impact factor: 3.533

3.  Motor response vigour and visual fixation patterns reflect subjective valuation during intertemporal choice.

Authors:  Elke Smith; Jan Peters
Journal:  PLoS Comput Biol       Date:  2022-06-10       Impact factor: 4.779

Review 4.  The Basic Pharmacology of Opioids Informs the Opioid Discourse about Misuse and Abuse: A Review.

Authors:  Joseph V Pergolizzi; Jo Ann LeQuang; Garrett K Berger; Robert B Raffa
Journal:  Pain Ther       Date:  2017-03-24

5.  Comparison of delay discounting of different outcomes in cigarette smokers, smokeless tobacco users, e-cigarette users, and non-tobacco users.

Authors:  William Brady DeHart; Jonathan E Friedel; Meredith Berry; Charles C J Frye; Ann Galizio; Amy L Odum
Journal:  J Exp Anal Behav       Date:  2020-08-27       Impact factor: 2.215

  5 in total

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