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      Single- and Cross-Commodity Delay Discounting of Money and E-cigarette Liquid in Experienced E-Cigarette Users

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      Drug and Alcohol Dependence
      Elsevier BV

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          Abstract

          Delay discounting (DD) research has improved our understanding of important behavioral processes associated with tobacco use. Little research has explored DD among e-cigarette users, and these studies have exclusively examined money as the only available commodity. This secondary analysis of a laboratory study explored discounting for money and e-liquid among e-cigarette users using two single-commodity discounting (SCD) tasks and one cross-commodity discounting (CCD) task. A secondary goal was to explore the extent to which results from the SCD and CCD tasks were correlated to each other and with measures of e-cigarette use. E-cigarette users ( N = 27) completed two SCD tasks and one CCD task. The SCD tasks assessed choices between various amounts of either money now versus money later (M-M) or e-liquid now versus e-liquid later (mL-mL). The CCD task assessed choices between e-liquid now versus money later (mL-M). Discounting results were compared using log k and AUClog. Discounting was greatest in the mL-mL task, followed by the M-M task, and then the mL-M task. AUClog and log k were significantly correlated across all discounting tasks. Attempts to quit vaping was positively associated with log k and negatively associated with AUClog and in both SCD tasks. E-cigarette users discount e-liquid more than money in a SCD task. However, when the two commodities, money and e-liquid (CCD), are compared the substance of abuse is discounted to a lesser extent. Interventions that provide alternative reinforcers to compete with the reinforcing effects of nicotine intake may be especially indicated for treating e-cigarette dependence.

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          Author and article information

          Journal
          Drug and Alcohol Dependence
          Drug and Alcohol Dependence
          Elsevier BV
          03768716
          November 2019
          November 2019
          : 107740
          Article
          10.1016/j.drugalcdep.2019.107740
          7250042
          31778948
          2644f36d-5c33-400f-a229-f8ef375f035a
          © 2019

          https://www.elsevier.com/tdm/userlicense/1.0/

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