scholarly journals The influence of cannabis motives on alcohol, cannabis, and tobacco use among treatment-seeking cigarette smokers

2015 ◽  
Vol 146 ◽  
pp. 81-88 ◽  
Author(s):  
Dawn W. Foster ◽  
Nicholas P. Allan ◽  
Michael J. Zvolensky ◽  
Norman B. Schmidt
2018 ◽  
Vol 82 ◽  
pp. 166-173 ◽  
Author(s):  
Casey R. Guillot ◽  
Heidemarie Blumenthal ◽  
Michael J. Zvolensky ◽  
Norman B. Schmidt

2020 ◽  
Vol 55 (4) ◽  
pp. 416-423
Author(s):  
Alexandra Venegas ◽  
Lindsay R Meredith ◽  
Ziva D Cooper ◽  
Brandon Towns ◽  
Lara A Ray

Abstract Background Alcohol and cannabis are frequently co-used, as 20–50% of those who drink alcohol report co-using cannabis. This study is based on the argument that alcohol researchers should enroll cannabis users in human laboratory studies of alcohol use disorder (AUD) to strengthen generalizability. This study examines how heavy drinking cannabis users differ from non-cannabis using heavy drinkers. Methods In a community sample of non-treatment-seeking heavy drinkers (n = 551, 35% female), cannabis users were identified through: (a) self-reported cannabis use in the past 6 months and (b) positive urine toxicology test for tetrahydrocannabinol (THC). Cannabis users, identified as described previously, were compared with non-cannabis users on demographic and clinical characteristics. Results Those who endorsed cannabis use in the past 6 months reported more binge drinking days. Participants who tested positive for THC had higher Alcohol Use Disorder Identification Test scores and more binge drinking days. Younger age and being a tobacco smoker were associated with an increased likelihood of cannabis use in the past 6 months, whereas male gender and being a tobacco use were associated with a greater likelihood of testing positive for THC. Individuals with cannabis use disorder (CUD) endorsed more depression and anxiety and had higher AUD symptom counts than cannabis users without CUD. Conclusions The inclusion of cannabis users in AUD samples allows for increased clinical severity. Excluding cannabis users from AUD studies may limit representativeness and expend unnecessary study resources. Lastly, tobacco use may explain a large portion of the effects of cannabis use on sample characteristics. Short Summary Alcohol and cannabis are frequently co-used substances. In a sample of non-treatment-seeking heavy drinkers (n = 551, 35% female), cannabis users reported higher alcohol use and higher likelihood of tobacco use than non-cannabis users. Including cannabis users in alcohol research studies will improve representativeness and likely increase clinical severity.


2017 ◽  
Vol 41 (1) ◽  
pp. 84-91 ◽  
Author(s):  
Erin O'Gara ◽  
Eva Sharma ◽  
Raymond G. Boyle ◽  
Kristie A. Taylor

2012 ◽  
Vol 124 (1-2) ◽  
pp. 26-33 ◽  
Author(s):  
Aashir Nasim ◽  
Melissa D. Blank ◽  
Caroline O. Cobb ◽  
Thomas Eissenberg

2021 ◽  
Vol 45 (1) ◽  
pp. 195-204
Author(s):  
Pallav Pokhrel ◽  
Thaddeus A. Herzog ◽  
Crissy T. Kawamoto ◽  
Pebbles Fagan

Objectives: In this study, we tested the use of ecigarette, cigarette, and dual use of both as predictors of heat-not-burn (HNB) tobacco product use onset among young adults, and examined common predictors of smoking cessation as predictors of HNB product use. Methods: We collected data from 2229 young adults [mean age = 21.1 (SD = 2.1); 55% women] in Hawaii, at 2 time-points 6 months apart. Results: Current cigarette-only use was the strongest concurrent predictor of HNB product use, followed by dual use, and ecigarette-only use. Among HNB product never users at Wave 1, dual and ecigarette-only use at Wave 1 significantly predicted HNB product use onset at Wave 2. Among cigarette smokers who had never used an HNB product at Wave 1, current use of ecigarette for help with smoking cessation predicted increased odds of HNB product use at 6-month follow-up. Conclusions: Although promoted as a safer alternative for exclusive cigarette smokers, HNB products may increase the risk of dual or poly-tobacco product use among young adults, including current exclusive e-cigarette users. Surveillance of HNB product use as a modified risk tobacco product may need to consider the effects of HNB products on poly-tobacco use among young people.


2021 ◽  
pp. tobaccocontrol-2021-056907
Author(s):  
Rebecca A Jackson ◽  
Chunfeng Ren ◽  
Blair Coleman ◽  
Hannah R Day ◽  
Cindy M Chang ◽  
...  

ObjectiveExamine patterns of dual use of cigarettes and smokeless tobacco and complete switching over time among adult current cigarette smokers using data from the Population Assessment of Tobacco and Health Study Wave 3 (2015–2016), Wave 4 (2016–2018) and Wave 5 (2018–2019).MethodsWe examined four tobacco use states among 6834 exclusive smokers and 372 dual users at Wave 3 with two waves of follow-up data: exclusive cigarette use, exclusive smokeless tobacco use, dual use and use of neither product.ResultsAmong exclusive smokers at Wave 3, only 1.6% (95% CI: 1.3% to 2.1%) transitioned to dual use at Wave 4, and 0.1% (95% CI: 0.07% to 0.2%) switched to exclusive smokeless tobacco use. Among exclusive smokers who switched to dual use, 53.1% (95% CI: 40.9% to 64.9%) returned to exclusive cigarette smoking, 34.3% (95% CI: 23.8% to 46.6%) maintained dual use and 12.6% (95% CI: 7.0% to 21.7%) did not smoke cigarettes after an additional wave of follow-up. Dual users at Wave 3 were likely to maintain their dual use status at Wave 4, 51.2% (95% CI: 46.1% to 56.3%) and Wave 5, 47.9% (95% CI: 40.1% to 55.8%).ConclusionsVery few cigarette smokers transition to smokeless tobacco use, and among those who do, dual use is more common than exclusive smokeless tobacco use. Further, the majority of exclusive cigarette smokers who transition to dual use at Wave 4 continue smoking cigarettes at Wave 5, either as dual users or as exclusive smokers.


2020 ◽  
pp. tobaccocontrol-2020-055651
Author(s):  
Kimberly G Wagoner ◽  
Jessica L King ◽  
Cynthia K Suerken ◽  
Beth A Reboussin ◽  
Jennifer Cornacchione Ross ◽  
...  

ObjectiveE-cigarettes have gained popularity, most recently with pod-style devices, such as JUUL. We examined changes in JUUL awareness, use, perceptions, nicotine content knowledge, number of days a pod lasts and exposure to JUUL retail advertising over a 6-month period in a cohort of young adults.MethodsIn spring and fall 2018, 1836 young adults completed online surveys on tobacco use, including JUUL perceptions and use behaviours. Demographics, tobacco use and JUUL advertising exposure in spring 2018 were examined as predictors of current JUUL use in fall 2018.ResultsEver and current JUUL use doubled in 6 months (5.9% vs 12.7%, p<0.001; 1.6% vs 3.4%, p<0.001). The number of days a JUUL pod lasts significantly changed (p=0.049). Although there was an increase in those reporting JUUL has as much or more nicotine than a pack of cigarettes, 58% are ‘not sure’ of JUUL’s nicotine content. Exposure to JUUL’s advertising significantly increased (31.8% to 46.4%; p<0.001). In multivariable models, those perceiving JUUL as or more harmful than cigarettes, and former and never cigarette smokers had significantly lower odds of current JUUL use at 6 months compared with their respective counterparts (p<0.0001). Those reporting exposure to JUUL’s advertising had significantly increased odds of current JUUL use 6 months later (p<0.03).ConclusionsFindings demonstrate changes in knowledge of JUUL’s nicotine content, perceptions and use over a short period of time, suggesting frequent measurement is necessary. Additionally, efforts are needed to regulate retail advertising and ensure consumer education about product risks as they are associated with current use.


2014 ◽  
Vol 11 (3) ◽  
pp. 143-149 ◽  
Author(s):  
Lisa M. Fucito ◽  
Benjamin A. Toll ◽  
Corey R. Roos ◽  
Andrea C. King

Introduction: Smokers’ treatment expectancies may influence their choice of a particular medication as well as their medication experience.Aims: This study examined the role of smokers’ treatment expectancies to their smoking cessation outcomes in a completed, randomized, placebo-controlled trial of naltrexone for smoking cessation, controlling for perceptions of treatment assignment.Methods: Treatment-seeking cigarette smokers (N = 315) were randomized to receive either naltrexone (50 mg) or placebo in combination with nicotine patch and behavioural counselling. Expectancies for naltrexone as a smoking cessation aid were assessed at baseline and four weeks after the quit date.Results: More positive baseline medication expectancies predicted higher quit rates at one month in the naltrexone group (OR = 1.45, p = 0.04) but were associated with lower quit rates in the placebo group (OR = 0.66, p = 0.03). Maintaining and/or increasing positive medication expectancies in the first month of treatment was associated with better pill adherence during this interval in the naltrexone group (ps < 0.05). Positive baseline medication expectancies were also associated with the perception of having received naltrexone over placebo among all participants.Conclusions: Positive medication expectancies in smokers may contribute to better treatment response. Assessing treatment expectancies and attempting to maintain or improve them may be important for the delivery, evaluation, and targeting of smoking cessation treatments.


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