Evidence map›Paper›PMID 39973983›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Derived Intoxicating Cannabis Vape Product Attributes and Marketing in an Online Retail Environment.

Julia Chen-Sankey, Cassidy R LoParco, Kathryn La Capria, Siyan Meng, Rosanna Mazzeo, Neha Vijayakumar, Amanda Y Kong, Kayla K Tillett, Carla Berg, Matthew E Rossheim

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Julia Chen-SankeyORCID 0000-0002-1797-5248
Cassidy R LoParco
Kathryn La Capria
Siyan Meng
Rosanna Mazzeo
Neha Vijayakumar
Amanda Y Kong
Kayla K Tillett
Carla Berg
Matthew E Rossheim

Funding

Cancer Health Disparities Training ProgramT32CA128582 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ENG, EUGENIA, TATE, DEBORAH F. · 2009 to 2023
$3.4M
NCI NIH HHS T32 CA128582
6 · The paper itself

Abstract

Introduction: The 2018 Farm Bill unintentionally allowed the proliferation of derived intoxicating cannabis vape products (DICVPs), raising concerns about associated health risks. To inform public health prevention efforts, this study analyzed the product attributes and marketing features of DICVPs in an online retail environment. Methods: In 2023, we extracted information on product attributes and descriptions of 490 DICVPs from two online retail websites with high web traffic. In 2024, two trained coders thematically coded product descriptions for their product characteristics and marketing features. Results: Overall, 95 unique brands and 26 unique intoxicating cannabinoids were identified. The most frequent marketing features were overall vape product design and use (99.0%), including vaping satisfaction, discreetness, convenience, and use instructions. Regulation and compliance messages (91.6%) were also prevalent, including lab testing for additives and/or chemicals, health warnings, hemp-derived labels, references to the 2018 Farm Bill, and FDA approval statements. Other prominent themes included: flavor and sensation claims (79.6%, i.e., flavor variety, fruit flavors); psychoactive effect claims (43.3%, e.g., potency or expected user experience); product quality claims (38.4%, e.g., "quality," "natural," "purity"); and other positive effect claims (33.9%, e.g., mood enhancement, relaxation). Discussion: The DICVP online marketplace is highly fragmented with a variety of brands and intoxicating compounds. Common marketing strategies promoting appealing flavors and positive vaping experiences may increase product use interest among young people. Features related to product legality and quality may reduce perceived barriers and risks of using products. Continuous monitoring of the DICVP marketplace is needed to inform policymaking.

Identifiers

PMID39973983
PMCPMC11838957

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.