Methods: Data are from an online survey of 482 adolescents (aged 15-19 years) living in states with legalized retail cannabis. Youth were asked about their engagement with cannabis promotions, including whether they liked/followed cannabis businesses on social media (Facebook, Twitter, and Instagram), had a favorite cannabis brand, or could see themselves owning/wearing a cannabis-branded product. Youth also self-reported cannabis use in the past year. We used logistic regression with a Bonferroni correction to compare the odds of cannabis use among youth with different levels of engagement with cannabis promotions and brands after controlling for demographics.
Results: After adjusting for several possible confounders, youth who liked or followed a cannabis business on at least one social media platform had 5 times higher odds of past-year cannabis use (aOR = 5.00, 95% CI: 2.47, 10.09, p < 0.001). Youth who thought it was likely that they would own or wear cannabis-branded merchandise (aOR = 6.93, 95% CI: 4.45, 10.78, p < 0.001) or who had a favorite cannabis brand (aOR = 7.98, 95% CI: 4.90, 13.00, p < 0.001) had nearly 8 times greater odds of past-year cannabis use.
Conclusion: Youth who engage with cannabis promotions and brands had higher odds of past-year cannabis use. Jurisdictions with retail cannabis may want to consider restrictions to limit youth engagement with cannabis promotions.
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http://dx.doi.org/10.1016/j.drugalcdep.2019.107548 | DOI Listing |
JAMA Netw Open
January 2025
Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego.
Importance: The degree that in-home cannabis smoking can be detected in the urine of resident children is unclear.
Objective: Test association of in-home cannabis smoking with urinary cannabinoids in children living at home.
Design, Setting, And Participants: This cross-sectional study used baseline data from Project Fresh Air, a 2012-2016 randomized clinical trial to reduce fine particulate matter levels.
Anal Bioanal Chem
January 2025
Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
An increasing number of cannabis-related products have become available and entered the market, particularly those containing cannabidiol (CBD) and Δ-tetrahydrocannabinol (Δ-THC). Analytical methods for cannabinoids in urine have been described extensively in the literature. However, methods providing good resolution for distinguishing interferences from THC positional isomers are needed.
View Article and Find Full Text PDFBMC Complement Med Ther
January 2025
Clinic of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany.
Background: Patient engagement (PE) in clinical trials has gained importance yet remains uncommon, particularly in patients with mild cognitive impairment (MCI), a critical precursor to Alzheimer's disease (AD). Cannabidiol (CBD) shows potential in slowing MCI progression due to its neuroprotective and anti-inflammatory properties. In CBD research, PE is underutilized too.
View Article and Find Full Text PDFMol Psychiatry
January 2025
Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Modelling the prodrome to severe mental disorders (SMD), including unipolar mood disorders (UMD), bipolar mood disorders (BMD) and psychotic disorders (PSY), should consider both the evolution and interactions of symptoms and substance use (prodromal features) over time. Temporal network analysis can detect causal dependence between and within prodromal features by representing prodromal features as nodes, with their connections (edges) indicating the likelihood of one feature preceding the other. In SMD, node centrality could reveal insights into important prodromal features and potential intervention targets.
View Article and Find Full Text PDFBMJ Open
January 2025
School of Public Health, University of Alberta, Edmonton, Alberta, Canada
Objective: To identify effective policies and non-policy interventions preventing youth vaping behaviour initiation and assess their effectiveness by the level of intrusiveness and subpopulations.
Design: This systematic rapid review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
Data Sources: Searches on MEDLINE and APA-PsycINFO for studies published between January 2019 and November 2023.
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