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Incremental validity of estimated cannabis grams as a predictor of problems and cannabinoid biomarkers: Evidence from a clinical trial.
Tomko, Rachel L; Baker, Nathaniel L; McClure, Erin A; Sonne, Susan C; McRae-Clark, Aimee L; Sherman, Brian J; Gray, Kevin M.
Afiliação
  • Tomko RL; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States. Electronic address: tomko@musc.edu.
  • Baker NL; Department of Public Health Sciences, Medical University of South Carolina, United States.
  • McClure EA; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
  • Sonne SC; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
  • McRae-Clark AL; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
  • Sherman BJ; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
  • Gray KM; Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, United States.
Drug Alcohol Depend ; 182: 1-7, 2018 01 01.
Article em En | MEDLINE | ID: mdl-29112827
ABSTRACT

BACKGROUND:

Quantifying cannabis use is complex due to a lack of a standardized packaging system that contains specified amounts of constituents. A laboratory procedure has been developed for estimating physical quantity of cannabis use by utilizing a surrogate substance to represent cannabis, and weighing the amount of the surrogate to determine typical use in grams.

METHOD:

This secondary analysis utilized data from a multi-site, randomized, controlled pharmacological trial for adult cannabis use disorder (N=300), sponsored by the National Drug Abuse Treatment Clinical Trials Network, to test the incremental validity of this procedure. In conjunction with the Timeline Followback, this physical scale-based procedure was used to determine whether average grams per cannabis administration predicted urine cannabinoid levels (11-nor-9-carboxy-Δ9-tetrahydrocannabinol) and problems due to use, after accounting for self-reported number of days used (in the past 30 days) and number of administrations per day in a 12-week clinical trial for cannabis use disorder.

RESULTS:

Likelihood ratio tests suggest that model fit was significantly improved when grams per administration and relevant interactions were included in the model predicting urine cannabinoid level (X2=98.3; p<0.05) and in the model predicting problems due to cannabis use (X2=6.4; p<0.05), relative to a model that contained only simpler measures of quantity and frequency.

CONCLUSIONS:

This study provides support for the use of a scale-based method for quantifying cannabis use in grams. This methodology may be useful when precise quantification is necessary (e.g., measuring reduction in use in a clinical trial).
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Canabinoides / Cannabis / Fumar Maconha / Abuso de Maconha Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Drug Alcohol Depend Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Canabinoides / Cannabis / Fumar Maconha / Abuso de Maconha Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Drug Alcohol Depend Ano de publicação: 2018 Tipo de documento: Article