ArticleJAMA network open2024
Cannabis-Derived Product Types, Flavors, and Compound Types From an E-Commerce Website.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Recent cannabis exposure and acute nicotine effects: insights from randomized, double-blind, placebo-controlled intravenous nicotine studies.The international journal of neuropsychopharmacology · 2026Trial
- "Cannabis Green Wave" versus "Nicotine Freeze": the regulatory paradox of cannabis liberalization and nicotine prohibition.Harm reduction journal · 2026Article
- Surveillance of Cannabis Strains Using Online Data: Observational Study.JMIR formative research · 2026Observational
- Redefining Recovery: The Expanding Cannabis Landscape and Its Implications for the California Sober Approach in Addiction.International journal of mental health and addiction · 2026Article
- Characterization of Women's Health Benefit Claims Made on Cannabis E-Commerce Platforms: A Retrospective Market Surveillance Study.American journal of preventive medicine · 2026Article
- Content Analysis of Derived Intoxicating Cannabis Vape Product Attributes and Marketing In an Online Retail Environment.Substance use & misuse · 2026Article
- Controlled Use of Cannabis Among Young Adults in Los Angeles Across Changes in Cannabis Policies.International journal of mental health and addiction · 2025Article
- An Exploratory Typology of Tobacco-Related Misleading Content on Social Media: Qualitative Analysis of Instagram and TikTok.Journal of medical Internet research · 2025Article
- Cannabinoid Vaping Products: Regulation, Composition, Toxicological Effects, and Emerging Research.Chemical research in toxicology · 2025Review
- Exploratory analysis of United States-based cannabis product health benefit claims on online marketplaces.Addiction (Abingdon, England) · 2025Article
- Online Availability of Diamond Shruumz Before and After FDA Recall Initiation: Qualitative Assessment and Simulated Test Purchasing.Journal of medical Internet research · 2025Article
- Saliva detection of the cannabinoids tetrahydrocannabinolic acid A (THCA-A) and cannabinol (CBN) among nightclub attendees in New York City, 2024.The American journal of drug and alcohol abuse · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Importance: Cannabis-derived products (CDPs) are widely available and diverse. A classification of product and flavor types is necessary to establish a foundation for comparative research, although research aiming to classify cannabis in its variety of products, flavors, and cannabinoid compounds based on public online e-commerce data is lacking. Objective: To analyze data from a large cannabis e-commerce marketplace to identify and characterize cannabis product types, flavors, and compound types. Design, Setting, and Participants: This qualitative study was conducted in 2 phases: (1) data mining of the cannabis e-commerce website Weedmaps for product listings in the US between September 1 and November 30, 2023 and (2) grouping CDPs into product, flavor, and cannabinoid compound categories. Exposures: Cannabis product listings. Main Outcomes and Measures: Product listings and descriptions were extracted from the platform. Coding was performed for specific product characteristics, routes of administration (ROAs), and characterization of flavors. Results: A total of 573 854 unique US CDP sales listings from the platform were collected; after removing 72 842 nonconsumable items, 501 012 were analyzed. Product ROAs included multisystem (205 637 [41.04%]), respiratory (185 296 [36.98%]), digestive (98 941 [19.75%]), epidermal (9487 [1.89%]), and oral (1651 [0.33%]). Nearly half (210 575 [42.03%]) of all product listings included at least 1 flavor, with 247 762 instances of flavors. The 3 most common flavors were lemon (22 106 [8.92%]), cake (19 463 [7.86%]), and strawberry (13 961 [5.63%]). The most common cannabinoid compound type was Δ9-tetrahydrocannabinol (54 699 [63.30%]). Conclusions and Relevance: This qualitative study categorized more than half a million CDPs for product and flavor types. Results are needed for comparative studies on product and market availability and can help in assessing concerns about appealing characteristics. The results can also inform future market surveillance efforts aimed at identifying new and emerging products as cannabis policy continues to move toward greater legalization.
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Registered trials
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