Does cannabis use moderate smoking cessation outcomes in treatment-seeking tobacco smokers? Analysis from a large multi-center trial

2016 ◽  
Vol 25 (4) ◽  
pp. 291-296 ◽  
Author(s):  
Rachel A. Rabin ◽  
Rebecca L. Ashare ◽  
Robert A. Schnoll ◽  
Paul M. Cinciripini ◽  
Larry W. Hawk ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cannabis Use ◽  
Treatment Seeking

scholarly journals Current cannabis use and smoking cessation among treatment seeking combustible smokers

2020 ◽  
Vol 209 ◽  
pp. 107928 ◽  
Author(s):  
Andrew H. Rogers ◽  
Justin M. Shepherd ◽  
Julia D. Buckner ◽  
Lorra Garey ◽  
Kara Manning ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cannabis Use ◽  
Treatment Seeking

CM of smoking abstinence vs. CM with shaping for smoking cessation among treatment-seeking patients

2015 ◽  
Vol 146 ◽  
pp. e93 ◽  
Author(s):  
Roberto Secades-Villa ◽  
Carla López-Núñez ◽  
Irene Pericot-Valverde ◽  
Fernando Alonso-Pérez ◽  
Olaya Garcia-Rodriguez
Keyword(s):  
Smoking Cessation ◽  
Treatment Seeking ◽  
Smoking Abstinence

scholarly journals Anxiety sensitivity components in relation to alcohol and cannabis use, motives, and problems in treatment-seeking cigarette smokers

2018 ◽  
Vol 82 ◽  
pp. 166-173 ◽  
Author(s):  
Casey R. Guillot ◽  
Heidemarie Blumenthal ◽  
Michael J. Zvolensky ◽  
Norman B. Schmidt
Keyword(s):  
Anxiety Sensitivity ◽  
Cannabis Use ◽  
Treatment Seeking ◽  
Cigarette Smokers

scholarly journals Inclusion of Cannabis Users in Alcohol Research Samples: Screening In, Screening Out, and Implications

2020 ◽  
Vol 55 (4) ◽  
pp. 416-423
Author(s):  
Alexandra Venegas ◽  
Lindsay R Meredith ◽  
Ziva D Cooper ◽  
Brandon Towns ◽  
Lara A Ray
Keyword(s):  
Alcohol Use ◽  
Binge Drinking ◽  
Tobacco Use ◽  
Alcohol Use Disorder ◽  
Cannabis Use ◽  
Clinical Severity ◽  
Treatment Seeking ◽  
Higher Alcohol ◽  
The Past ◽  
Heavy Drinkers

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.

Acculturation Predicts 7-Day Smoking Cessation Among Treatment-Seeking African-Americans in a Group Intervention

2011 ◽  
Vol 43 (1) ◽  
pp. 74-83 ◽  
Author(s):  
Monica Webb Hooper ◽  
Elizabeth A. Baker ◽  
Denise Rodríguez de Ybarra ◽  
Marcia McNutt ◽  
Jasit S. Ahluwalia
Keyword(s):  
Smoking Cessation ◽  
African Americans ◽  
Group Intervention ◽  
Treatment Seeking

scholarly journals Smoking cessation abstinence goal in treatment-seeking smokers

2015 ◽  
Vol 42 ◽  
pp. 148-153 ◽  
Author(s):  
Sharon M. Hall ◽  
Yanling Shi ◽  
Gary L. Humfleet ◽  
Ricardo F. Muñoz ◽  
Victor I. Reus ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Treatment Seeking

scholarly journals Efficacy of a sleep health intervention to optimize standard smoking cessation treatment response: results from a pilot randomized controlled trial

2020 ◽  
Vol 15 (2) ◽  
pp. 113-117
Author(s):  
Freda Patterson ◽  
Michael A. Grandner ◽  
Susan K. Malone ◽  
Ryan T. Pohlig ◽  
Rebecca L. Ashare ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Treatment Response ◽  
Sex Education ◽  
Smoking Status ◽  
Controlled Trial ◽  
Treatment Seeking ◽  
Sleep Health ◽  
Smoking Cessation Treatment ◽  
Cessation Treatment ◽  
End Of Treatment

AbstractBackgroundWe tested if an adjunctive sleep health (SH) intervention improved smoking cessation treatment response by increasing quit rates. We also examined if baseline sleep, and improvements in sleep in the first weeks of quitting, were associated with quitting at the end of treatment.MethodsTreatment-seeking smokers (N = 29) aged 21–65 years were randomized to a SH intervention (n = 16), or general health (GH) control (n = 13) condition. Participants received six counseling sessions across 15-weeks: SH received smoking cessation + SH counseling; GH received smoking cessation + GH counseling. Counseling began 4-weeks before the target quit date (TQD), and varenicline treatment began 1-week prior to TQD. Smoking status and SH were assessed at baseline (week 1), TQD (week 4), 3 weeks after cessation (week 7), week 12, and at the end of treatment (EOT; week 15).ResultsSH versus GH participants had higher Carbon Monoxide (CO) -verified, 7-day point prevalence abstinence at EOT (69% vs. 54%, respectively; adjusted odds ratio (aOR) = 2.10, 95% confidence interval (CI) = 0.40–10.69, P = 0.77). Higher baseline sleep efficiency (aOR = 1.42, 95% CI = 1.03–1.96, P = 0.03), predicted higher EOT cessation. Models were adjusted for age, sex, education, and baseline nicotine dependence.ConclusionsImproving SH in treatment-seeking smokers prior to cessation warrants further examination as a viable strategy to promote cessation.

scholarly journals Blunts versus joints: Cannabis use characteristics and consequences among treatment-seeking adults

2019 ◽  
Vol 198 ◽  
pp. 105-111 ◽  
Author(s):  
LaTrice Montgomery ◽  
Erin A. McClure ◽  
Rachel L. Tomko ◽  
Susan C. Sonne ◽  
Theresa Winhusen ◽  
...  
Keyword(s):  
Cannabis Use ◽  
Treatment Seeking
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