Cannabis users who mix tobacco with cannabis are exposed to nicotine in the tobacco. We identified characteristics of young adult cannabis users who mix and investigated whether mixing frequency is associated with nicotine dependence (ND).
The Hooked on Nicotine Checklist (HONC) has been used to assess nicotine dependence (loss of autonomy over tobacco) among adolescents. Existing HONC validation studies for non-cigarette products, such as electronic cigarettes (e-cigarettes), have generally not considered biomarkers of nicotine exposure.
Strategies of harm reduction (HR) include policies and community-based measures aimed to reduce the risk of self-harm while continuing potentially hazardous behaviors, such as illegal drug, alcohol, and tobacco use.
PCR-positive in- and outpatients with symptomatic COVID-19 from a large French University hospital were systematically interviewed for their smoking status, use of e-cigarette, and nicotinic substitutes. The rates of daily smokers in in- and outpatients were compared using the same smoking habit questionnaire to those in the 2019 French general population, after standardisation for sex and age.
Perceptions of tobacco, cannabis, and electronic nicotine delivery systems (ENDS) are continually evolving in the United States. Exploring these characteristics through user generated text sources may provide novel insights into product use behavior that are challenging to identify using survey-based methods. The objective of this study was to compare the topics frequently discussed among Reddit members in cannabis, tobacco, and ENDS-specific subreddits.
We conducted 35 experiments for spatial measurement of marijuana aerosols in a current smoker's residential spaces. Fine particulate matter (PM2.5) concentrations were measured every second at 1, 2, and 3 m horizontal distances from the smoker who performed prescribed 5-min smoking and vaping activities.
Significant factors associated with binge drinking in the final model included sex (aOR = 0.53 (0.45-0.63)), age (18-24 years old aOR = 8.77 (6.02-12.79); 25-34 years old aOR = 7.10 (5.35-9.42); 35-44 years old aOR = 6.23 (4.73-8.19); 45-54 years old aOR = 3.87 (2.92-5.14); and 55-64 years old aOR = 2.58 (1.96-3.38)), income ($15,000-$24,999 aOR = 1.00 (0.63-1.58); $25,000-$34,999 aOR = 1.61 (1.04-2.50); $35,000-$49,999 aOR = 1.69 (1.13-2.55); ≥$50,000 aOR = 1.97 (1.34-2.89)), smokeless tobacco use (aOR = 2.09 (1.55-2.82)), and smoking/e-cigarette use (Cigarette user only aOR = 2.11 (1.69-2.65); E-cigarette user only aOR = 2.67 (1.62-3.17); dual cigarette and e-cigarette user = 3.43 (2.21-5.33)). Conclusion: Developing interventions that take into account elevated risk for binge drinking amongst demographic characteristics (i.e., age, sex, income) and lifestyle factors (i.e., smokeless tobacco use, and smoking/e-cigarette use) is crucial to lowering morbidity and mortality related to this form of excessive alcohol consumption.
This study examined whether exposure to reduced-nicotine-content cigarettes (RNCCs) for 12 weeks alters respiratory health using Fractional Exhaled Nitric Oxide (FeNO), a validated biomarker of respiratory epithelial health, and the Respiratory Health Questionnaire (RHQ), a subject-rated questionnaire on respiratory symptoms.
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