ABSTRACT
SIGNIFICANCE: Cigars are sometimes marketed with cannabis references because they are often used for smoking blunts (i.e., cannabis rolled in cigar paper with or without tobacco). However, little research exists on the impact of cannabis co-marketing on cigar perceptions. METHODS: Participants included 506 US youth (ages 15-20) recruited April-June 2023 through Qualtrics who reported ever using little cigars or cigarillos (LCCs), past 30-day use of LCCs, or susceptibility to using LCCs. We then conducted a between-subjects experiment, randomizing youth to view one of two cigarillo packages: 1) a package with cannabis co-marketing (i.e., the package included a cannabis-related flavor descriptor and the word "blunt" appeared in the brand name and product label) or 2) a package with no cannabis co-marketing. We assessed the effects of the packaging on perceptions of product ingredients, addictiveness and harm perceptions, product appeal, susceptibility to using the product shown, and purchase intentions. RESULTS: Packages with cannabis co-marketing were perceived as more likely to contain cannabis (OR: 5.56, 95 % CI: 3.73, 8.27) and less likely to contain tobacco (OR: 0.42, 95 % CI: 0.25, 0.70) or nicotine (OR: 0.57, 95 % CI: 0.40, 0.82). Cannabis co-marketing also led to higher susceptibility to using the product shown (B: 0.21, p = 0.02). We did not find evidence that cannabis co-marketing changed harm perceptions or purchase intentions. CONCLUSIONS: Among a sample of US youth, cannabis co-marketing on cigar packages may change perceptions of product ingredients and increase susceptibility to using such products, which could lead to the initiation of cigars and cannabis.
ABSTRACT
In first-line antiretroviral therapy (ART) for human immunodeficiency virus (HIV) treatment, some subgroups of patients may respond better to an efavirenz-based regimen than an integrase strand transfer inhibitor (InSTI)-based regimen, or vice versa, due to patient characteristics modifying treatment effects. Using data based on nearly 16,000 patients from the North American AIDS Cohort Collaboration on Research and Design from 2009-2016, statistical methods for precision medicine were employed to estimate an optimal treatment rule that minimizes the 5-year risk of the composite outcome of acquired immune deficiency syndrome (AIDS)-defining illnesses, serious non-AIDS events, and all-cause mortality. The treatment rules considered were functions that recommend either an efavirenz- or InSTI-based regimen conditional on baseline patient characteristics such as demographic information, laboratory results, and health history. The estimated 5-year risk under the estimated optimal treatment rule was 10.0% (95% confidence interval (CI): 8.6, 11.3), corresponding to an absolute risk reduction of 2.3% (95% CI: 0.9, 3.8) when compared with recommending an efavirenz-based regimen for all patients and 2.6% (95% CI: 1.0, 4.2) when compared with recommending an InSTI-based regimen for all. Tailoring ART to individual patient characteristics may reduce 5-year risk of the composite outcome compared with assigning all patients the same drug regimen.