Erin A McClure1, Jacqueline S King2, Aimee Wahle2, Abigail G Matthews2, Susan C Sonne3, Michelle R Lofwall4, Aimee L McRae-Clark3, Udi E Ghitza5, Melissa Martinez6, Kasie Cloud7, Harvir S Virk6, Kevin M Gray3. 1. Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States. Electronic address: mccluree@musc.edu. 2. The Emmes Corporation, Rockville, MD, United States. 3. Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States. 4. Center on Drug and Alcohol Research, University of Kentucky College of Medicine, Lexington, KY, United States. 5. National Institute on Drug Abuse Center for the Clinical Trials Network, Rockville, MD, United States. 6. Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States. 7. CODA, Inc., Portland, OR, United States.
Abstract
BACKGROUND: Cannabis use rates are increasing among adults in the United States (US) while the perception of harm is declining. This may result in an increased prevalence of cannabis use disorder and the need for more clinical trials to evaluate efficacious treatment strategies. Clinical trials are the gold standard for evaluating treatment, yet study samples are rarely representative of the target population. This finding has not yet been established for cannabis treatment trials. This study compared demographic and cannabis use characteristics of a cannabis cessation clinical trial sample (run through National Drug Abuse Treatment Clinical Trials Network) with three nationally representative datasets from the US; 1) National Survey on Drug Use and Health, 2) National Epidemiologic Survey on Alcohol and Related Conditions-III, and 3) Treatment: Episodes Data Set - Admissions. METHODS: Comparisons were made between the clinical trial sample and appropriate cannabis using sub-samples from the national datasets, and propensity scores were calculated to determine the degree of similarity between samples. RESULTS: showed that the clinical trial sample was significantly different from all three national datasets, with the clinical trial sample having greater representation among older adults, African Americans, Hispanic/Latinos, adults with more education, non-tobacco users, and daily and almost daily cannabis users. CONCLUSIONS: These results are consistent with previous studies of other substance use disorder populations and extend sample representation issues to a cannabis use disorder population. This illustrates the need to ensure representative samples within cannabis treatment clinical trials to improve the generalizability of promising findings.
BACKGROUND: Cannabis use rates are increasing among adults in the United States (US) while the perception of harm is declining. This may result in an increased prevalence of cannabis use disorder and the need for more clinical trials to evaluate efficacious treatment strategies. Clinical trials are the gold standard for evaluating treatment, yet study samples are rarely representative of the target population. This finding has not yet been established for cannabis treatment trials. This study compared demographic and cannabis use characteristics of a cannabis cessation clinical trial sample (run through National Drug Abuse Treatment Clinical Trials Network) with three nationally representative datasets from the US; 1) National Survey on Drug Use and Health, 2) National Epidemiologic Survey on Alcohol and Related Conditions-III, and 3) Treatment: Episodes Data Set - Admissions. METHODS: Comparisons were made between the clinical trial sample and appropriate cannabis using sub-samples from the national datasets, and propensity scores were calculated to determine the degree of similarity between samples. RESULTS: showed that the clinical trial sample was significantly different from all three national datasets, with the clinical trial sample having greater representation among older adults, African Americans, Hispanic/Latinos, adults with more education, non-tobacco users, and daily and almost daily cannabis users. CONCLUSIONS: These results are consistent with previous studies of other substance use disorder populations and extend sample representation issues to a cannabis use disorder population. This illustrates the need to ensure representative samples within cannabis treatment clinical trials to improve the generalizability of promising findings.
Authors: Madeline H Meier; Avshalom Caspi; Antony Ambler; HonaLee Harrington; Renate Houts; Richard S E Keefe; Kay McDonald; Aimee Ward; Richie Poulton; Terrie E Moffitt Journal: Proc Natl Acad Sci U S A Date: 2012-08-27 Impact factor: 11.205
Authors: Elizabeth A Stuart; Stephen R Cole; Catherine P Bradshaw; Philip J Leaf Journal: J R Stat Soc Ser A Stat Soc Date: 2001-04-01 Impact factor: 2.483
Authors: Kevin M Gray; Susan C Sonne; Erin A McClure; Udi E Ghitza; Abigail G Matthews; Aimee L McRae-Clark; Kathleen M Carroll; Jennifer S Potter; Katharina Wiest; Larissa J Mooney; Albert Hasson; Sharon L Walsh; Michelle R Lofwall; Shanna Babalonis; Robert W Lindblad; Steven Sparenborg; Aimee Wahle; Jacqueline S King; Nathaniel L Baker; Rachel L Tomko; Louise F Haynes; Ryan G Vandrey; Frances R Levin Journal: Drug Alcohol Depend Date: 2017-06-10 Impact factor: 4.492
Authors: Carlos Blanco; Mark Olfson; Mayumi Okuda; Edward V Nunes; Shang-Min Liu; Deborah S Hasin Journal: Drug Alcohol Depend Date: 2008-06-24 Impact factor: 4.492
Authors: Deborah S Hasin; Tulshi D Saha; Bradley T Kerridge; Risë B Goldstein; S Patricia Chou; Haitao Zhang; Jeesun Jung; Roger P Pickering; W June Ruan; Sharon M Smith; Boji Huang; Bridget F Grant Journal: JAMA Psychiatry Date: 2015-12 Impact factor: 21.596
Authors: Erin A McClure; Nathaniel L Baker; Susan C Sonne; Udi E Ghitza; Rachel L Tomko; LaTrice Montgomery; Shanna Babalonis; Garth E Terry; Kevin M Gray Journal: Drug Alcohol Depend Date: 2018-08-25 Impact factor: 4.492
Authors: Saima A Akbar; Rachel L Tomko; Claudia A Salazar; Lindsay M Squeglia; Erin A McClure Journal: Addict Behav Date: 2018-11-27 Impact factor: 3.913
Authors: Jennifer Dahne; Rachel L Tomko; Erin A McClure; Jihad S Obeid; Matthew J Carpenter Journal: Nicotine Tob Res Date: 2020-12-12 Impact factor: 4.244