Product Features Used to Promote Top-selling Cannabis Vape Products in An Online Retail Environment
Chen-Sankey, J.; La Capria, K.; Meng, S.; Mazzeo, R.; Vijayakumar, N.; Padon, A. A.; Wagoner, K. G.; Moran, M. B.; Rossheim, M.; Berg, C.; Jackson, K. M.
Show abstract
IntroductionExposure to commercial marketing of cannabis vape products (CVPs) may encourage CVP use, yet little is known about how these products are marketed. This study examined marketing descriptions of CVPs functions and benefits in an online retail environment. MethodsProduct descriptions from a sample of 343 CVPs from 78 top-selling cannabis brands in 2023 were obtained from a large cannabis e-commerce website. Each description was thematically coded based on the promoted product features. ResultsThe most frequently mentioned product feature was flavor profile and sensation (74.1%), including general and specific flavor descriptors (e.g., fruit flavors) and sensory experiences (e.g., sweet, spicy). Psychoactive effects were noted in 47.5% of the descriptions, detailing potency or effects such as feeling "high," "stoned," or "buzzed." Product quality, such as "purity," "natural," or "organic," was mentioned in 42.3% of the descriptions. Other product benefits described included mood enhancement (33.8%), reduced harm (24.2%), relaxation/tension reduction (23.9%), therapeutic effects (18.4%), focus/creativity (16.6%), convenience/discreetness (11.1%), socialization enhancement (6.7%), and physical performance enhancement (6.1%). DiscussionSome frequently promoted product features of CVPs, such as flavor and sensation and psychoactive effects, may particularly appeal to younger consumers for non-medical use. Meanwhile, attributes surrounding high product quality and reduced harm may reduce individuals perceived risks of CVP use and may violate state restrictions on therapeutic claims. Additional research assessing the influence of exposure to marketed product features on product perceptions and use behaviors among priority populations is needed to inform regulations and enforcement.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Exploring consumer preferences for cannabis edible products to support public health policy: A discrete choice experiment 96%
- Commercial Cannabis Product Testing: Fidelity to Labels and Regulations 96%
- Social media discourse and internet search queries on cannabis as a medicine: A systematic review 95%
Similar papers in this journal
- Effectiveness of a Text Message Intervention Promoting Seat Belt Use Among Targeted Young Adults: A Randomized Clinical Trial 91%
- Impact of year-long cannabis use for medical symptoms on brain activation during cognitive processes 90%
- Violence, firearms, and the coronavirus pandemic: Findings from the 2020 California Safety and Wellbeing Survey 87%
Similar papers in this journal
Similar papers in this journal
- Impact of health warning labels and calorie labels on selection and purchasing of alcoholic and non-alcoholic drinks: a randomised controlled trial 91%
- WITHDRAWN: Comparative effectiveness of extended release naltrexone and sublingual buprenorphine for treatment of opioid use disorder among Medicaid patients 90%
- Transitions from smoking to exclusive e-cigarette use, dual use, or stopping nicotine use in ALSPAC and their association with modifiable and sociodemographic factors 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.