LaTrice Montgomery1, Erin A McClure2, Rachel L Tomko2, Susan C Sonne2, Theresa Winhusen3, Garth E Terry4, Jason T Grossman5, Kevin M Gray2. 1. Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, 3131 Harvey Avenue, Suite 104, Cincinnati, OH, 45229, USA. Electronic address: latrice.montgomery@uc.edu. 2. Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, 67 President Street, MSC861, Charleston, SC, 29425, USA. 3. Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, 3131 Harvey Avenue, Suite 104, Cincinnati, OH, 45229, USA. 4. Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1660 S Columbian Way, Seattle, WA, 98108, USA. 5. Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles; Integrated Substance Abuse Programs, 11075 Santa Monica Blvd Ste 200, Los Angeles, CA 90025, USA.
Abstract
BACKGROUND: Despite the high prevalence of blunt smoking among cannabis users, very few studies examine the clinical profile of blunt smokers relative to those using more common methods of cannabis use, such as joints. METHODS: The current study uses baseline data from the ACCENT (Achieving Cannabis Cessation-Evaluating N-acetylcysteine Treatment) study, a multi-site randomized pharmacotherapy clinical trial within the National Drug Abuse Treatment Clinical Trials Network, to predict the association between blunt and joint use frequency and cannabis use characteristics (e.g., grams of cannabis used) and consequences (e.g., withdrawal) among past-month cannabis users (N = 377) who were screened for study participation. RESULTS: After controlling for race, age, gender, other forms of cannabis use (including joint use) and nicotine dependence, multivariable linear regression models indicated that the number of days of blunt use in the past month was a significant predictor of the average amount of cannabis per using day (t = 3.04, p < .01), the estimated average cost of cannabis (t = 2.28, p < .05) and Cannabis Withdrawal Scale scores (t = 1.94, p < .05). Frequency of joint use did not significantly predict any of the cannabis use characteristics or consequences. CONCLUSIONS:Blunt smokers may present to treatment with greater amounts of cannabis smoked and more intense withdrawal symptoms, which may adversely impact their likelihood of successful abstinence. Cannabis-dependent blunt smokers may be more likely to benefit from treatment that targets physiological and mood-related withdrawal symptoms.
RCT Entities:
BACKGROUND: Despite the high prevalence of blunt smoking among cannabis users, very few studies examine the clinical profile of blunt smokers relative to those using more common methods of cannabis use, such as joints. METHODS: The current study uses baseline data from the ACCENT (Achieving Cannabis Cessation-Evaluating N-acetylcysteine Treatment) study, a multi-site randomized pharmacotherapy clinical trial within the National Drug Abuse Treatment Clinical Trials Network, to predict the association between blunt and joint use frequency and cannabis use characteristics (e.g., grams of cannabis used) and consequences (e.g., withdrawal) among past-month cannabis users (N = 377) who were screened for study participation. RESULTS: After controlling for race, age, gender, other forms of cannabis use (including joint use) and nicotine dependence, multivariable linear regression models indicated that the number of days of blunt use in the past month was a significant predictor of the average amount of cannabis per using day (t = 3.04, p < .01), the estimated average cost of cannabis (t = 2.28, p < .05) and Cannabis Withdrawal Scale scores (t = 1.94, p < .05). Frequency of joint use did not significantly predict any of the cannabis use characteristics or consequences. CONCLUSIONS: Blunt smokers may present to treatment with greater amounts of cannabis smoked and more intense withdrawal symptoms, which may adversely impact their likelihood of successful abstinence. Cannabis-dependent blunt smokers may be more likely to benefit from treatment that targets physiological and mood-related withdrawal symptoms.
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