Literature DB >> 27515723

Cue-elicited increases in incentive salience for marijuana: Craving, demand, and attentional bias.

Jane Metrik1, Elizabeth R Aston2, Christopher W Kahler2, Damaris J Rohsenow3, John E McGeary4, Valerie S Knopik5, James MacKillop6.   

Abstract

BACKGROUND: Incentive salience is a multidimensional construct that includes craving, drug value relative to other reinforcers, and implicit motivation such as attentional bias to drug cues. Laboratory cue reactivity (CR) paradigms have been used to evaluate marijuana incentive salience with measures of craving, but not with behavioral economic measures of marijuana demand or implicit attentional processing tasks.
METHODS: This within-subjects study used a new CR paradigm to examine multiple dimensions of marijuana's incentive salience and to compare CR-induced increases in craving and demand. Frequent marijuana users (N=93, 34% female) underwent exposure to neutral cues then to lit marijuana cigarettes. Craving, marijuana demand via a marijuana purchase task, and heart rate were assessed after each cue set. A modified Stroop task with cannabis and control words was completed after the marijuana cues as a measure of attentional bias.
RESULTS: Relative to neutral cues, marijuana cues significantly increased subjective craving and demand indices of intensity (i.e., drug consumed at $0) and Omax (i.e., peak drug expenditure). Elasticity significantly decreased following marijuana cues, reflecting sustained purchase despite price increases. Craving was correlated with demand indices (r's: 0.23-0.30). Marijuana users displayed significant attentional bias for cannabis-related words after marijuana cues. Cue-elicited increases in intensity were associated with greater attentional bias for marijuana words.
CONCLUSIONS: Greater incentive salience indexed by subjective, behavioral economic, and implicit measures was observed after marijuana versus neutral cues, supporting multidimensional assessment. The study highlights the utility of a behavioral economic approach in detecting cue-elicited changes in marijuana incentive salience. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Attentional bias; Behavioral economics; Cue reactivity; Incentive salience; Marijuana

Mesh:

Year:  2016        PMID: 27515723      PMCID: PMC5037029          DOI: 10.1016/j.drugalcdep.2016.07.027

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


  54 in total

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5.  Further validation of a cigarette purchase task for assessing the relative reinforcing efficacy of nicotine in college smokers.

Authors:  James MacKillop; James G Murphy; Lara A Ray; Daniel T A Eisenberg; Stephen A Lisman; J Koji Lum; David S Wilson
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7.  Cue reactivity in young marijuana smokers: a preliminary investigation.

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8.  Comparison of subjective, pharmacokinetic, and physiological effects of marijuana smoked as joints and blunts.

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Journal:  Drug Alcohol Depend       Date:  2009-05-14       Impact factor: 4.492

9.  The time course and significance of cannabis withdrawal.

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2.  Latent factor structure of a behavioral economic marijuana demand curve.

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3.  Unique prediction of cannabis use severity and behaviors by delay discounting and behavioral economic demand.

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5.  Interrelationships between marijuana demand and discounting of delayed rewards: Convergence in behavioral economic methods.

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6.  Sensitivity of hypothetical purchase task indices when studying substance use: A systematic literature review.

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7.  Further examination of the temporal stability of alcohol demand.

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8.  Contribution of alcohol- and cigarette-related cues to concurrent reinforcer choice in humans.

Authors:  Justin C Strickland; Cecilia L Bergeria
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9.  Psychopathology and tobacco demand.

Authors:  Samantha G Farris; Elizabeth R Aston; Michael J Zvolensky; Ana M Abrantes; Jane Metrik
Journal:  Drug Alcohol Depend       Date:  2017-05-23       Impact factor: 4.492

10.  Contribution of cocaine-related cues to concurrent monetary choice in humans.

Authors:  Justin C Strickland; Katherine R Marks; Joshua S Beckmann; Joshua A Lile; Craig R Rush; William W Stoops
Journal:  Psychopharmacology (Berl)       Date:  2018-07-26       Impact factor: 4.530

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