| Autor: |
Yoon JH; Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center McGovern Medical School., Suchting R; Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center McGovern Medical School., Cassidy RN; Department of Behavioral and Social Sciences, Brown University School of Public Health., Bolin PK; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine., Omar Y; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine., Brown GS; Department of Psychiatry, University of Texas at Austin Dell Medical School., De La Garza R; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine. |
| Jazyk: |
angličtina |
| Zdroj: |
Experimental and clinical psychopharmacology [Exp Clin Psychopharmacol] 2021 Aug; Vol. 29 (4), pp. 334-344. Date of Electronic Publication: 2020 Mar 23. |
| DOI: |
10.1037/pha0000367 |
| Abstrakt: |
Methamphetamine (MA) is a highly addictive stimulant with recent upward trends in prevalence and associated public health problems. Drug demand, as assessed by hypothetical purchasing tasks, has been useful in addictions research and may help our understanding of the factors influencing MA use. However, no studies have assessed MA demand using current models of demand. The purpose of the current study was to assess demand for MA using a hypothetical drug purchasing task. Given high rates of cigarette smoking among MA users, it was of interest also to assess and compare demand for MA relative to cigarettes. Participants consisted of non-treatment-seeking volunteers with MA use disorder (N = 18), of whom 17 reported daily smoking. Results showed the exponentiated demand model provided a good fit to consumption data. Results from Bayesian generalized linear modeling demonstrated multiple positive relationships (posterior probability ≥75%) between self-reported drug use (days MA used in the past 30 days, cigarettes smoked per day) and indices of demand for each drug (Qo, Omax, Pmax, and break point). Comparing MA to cigarettes, results from Bayesian generalized linear mixed modeling revealed greater abuse liability for MA compared to cigarettes (posterior probability ≥99%) based on α and essential value. Overall, the findings of the current study support the feasibility and validity of the exponentiated demand model for assessing demand for drugs among individuals with MA use disorder. (PsycInfo Database Record (c) 2021 APA, all rights reserved). |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
