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

• Published in: Behavioural processes Vol. 140; pp. 33 - 40
• Main Authors: Strickland, Justin C., Lile, Joshua A., Stoops, William W.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.07.2017; Elsevier Science Ltd
• Subjects: Adult; alcohols; Behavioral economics; Cannabis; Case-Control Studies; Crowdsourcing; Crowdsourcing - methods; Delay Discounting; Demand curve; Demand curves; Drug; Drug abuse; Drug use; drugs; economic demand; Economics, Behavioral; Ethanol - pharmacology; Female; Humans; laboratory techniques; Male; Marijuana; Marijuana Smoking - psychology; Middle Aged; prediction; products and commodities; Regression Analysis; Substance use; Young Adult; Crowdsourcing; Drug; Substance use; Demand curve; Behavioral economics
• ISSN: 0376-6357; 1872-8308; 1872-8308
• DOI: 10.1016/j.beproc.2017.03.017

•Demand and delay discounting variables were measured in an online sample.•Cannabis users and controls did not differ in demand or delay discounting.•Regression models tested unique associations with cannabis use behaviors.•Cannabis delay discounting uniquely predicted cannabis use severity.•Cannabi...