2019
DOI: 10.1016/j.drugalcdep.2019.02.022
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Contribution of cannabis-related cues to concurrent reinforcer choice in humans

Abstract: Background: Drug-related cues play a critical role in the development and persistence of substance use disorder. Few human laboratory studies have evaluated how these cues contribute to decisions between concurrently presented reinforcers, and none have examined the specific role of cannabis cues. This study evaluated the contribution of cannabis-related cues to concurrent monetary reinforcer choice in humans. Methods: Participants with a cannabis use history (i.e., use in the past two weeks and 50 or more lif… Show more

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Cited by 9 publications
(17 citation statements)
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References 58 publications
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“…These findings are important because they emphasize that decision-making in these condom discounting tasks is sensitive to environmental factors aside from delay, probability, and partner type, even among individuals with co-occurring risk behavior like substance use (e.g., Johnson & Bruner, 2012). Such results are consistent with a larger body of work demonstrating that maladaptive decision-making that is attributed to behaviors like substance use is often context- or environment-dependent as opposed to global impairments in all decision-making functions (e.g., Strickland et al, 2018, 2019).…”
Section: Resultssupporting
confidence: 89%
“…These findings are important because they emphasize that decision-making in these condom discounting tasks is sensitive to environmental factors aside from delay, probability, and partner type, even among individuals with co-occurring risk behavior like substance use (e.g., Johnson & Bruner, 2012). Such results are consistent with a larger body of work demonstrating that maladaptive decision-making that is attributed to behaviors like substance use is often context- or environment-dependent as opposed to global impairments in all decision-making functions (e.g., Strickland et al, 2018, 2019).…”
Section: Resultssupporting
confidence: 89%
“…Among cannabis users, marijuana delay discounting uniquely predicted severity of use, while cannabis demand uniquely predicted use frequency and quantity, replicating findings from Aston et al [21]. Strickland et al [23] followed their initial research with a subsequent study assessing the role that drug-related cues play in the development and maintenance of substance use disorders. Current cannabis users and controls were recruited using Amazon's Mechanical Turk.…”
Section: Testing the Reinforcer Pathology Modelmentioning
confidence: 62%
“…As a further publication bias assessment, we also looked at the effect of year of publication on the overall effect sizes. two [26,50] included adult samples recruited from the community, six additional [9,19,29,[51][52][53] included crowdsourced MTurk samples, and the remaining one included a clinical sample of HIV + cannabis users [20].…”
Section: Publication Biasmentioning
confidence: 99%
“…severity, four studies used Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV/5 criteria[20,29,31,53], and seven additional relied on the Cannabis Use Dependence Identification Test-Revised (CUDIT)[19,26,[48][49][50][51][52].The structural characteristics of MPTs varied substantially in terms of the number of prices (range = 7-22), units of purchase (hits/puffs, k = 6/15 reports; grams, k = 7/15; joints, k = 1/15; 0.1-oz cannabis units, k = 1/15), and maximum price per unit (range = $0-100). Except…”
mentioning
confidence: 99%