Evidence map›Paper›PMID 38222305›Full record

ReviewPreventive medicine reports2024

A systematic review of cannabis health warning research.

Zachary B Massey, David Hammond, Brett Froeliger

Abstract readReview
In one paragraph

Review in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  5. Benefits and risks of consuming Cannabis sativa L. in food.Journal of food and drug analysis · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zachary B MasseySchool of Journalism, University of Missouri, Columbia, MO, USA.
David HammondSchool of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
Brett FroeligerDepartment of Psychiatry & Psychological Sciences, University of Missouri, Columbia, MO, USA.

Funding

Developing and Testing Warning Labels for Retail Cannabis ProductsK01DA057395 · NIDA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Zachary Massey · 2023 to 2026
$717k
NIDA NIH HHS K01 DA057395
6 · The paper itself

Abstract

Background: Cannabis legalization provides an opportunity to communicate with consumers through mandated health warnings on cannabis packaging. However, research on cannabis health warnings is a nascent field. Therefore, a review is needed to synthesize cannabis health warning research and inform ongoing policy discussions. Methods: This paper used systematic review guidelines to search online databases, including PubMed Central, Scopus, Web of Science, Jstor, Communication and Mass Media Complete, Medline, PsycINFO, and Google Scholar. Search strings combined the terms "cannabis" or "marijuana" with "health warning" or "health warning message" or "warning label" or "health warning label" or "health information label." Results were synthesized narratively. Results: The search identified 90 research articles. After screening, 17 studies on the impact of cannabis health warnings were retained. Retained studies focused on the hypothetical effects of cannabis health warnings ( Conclusions: Health warnings on cannabis packaging are an important strategy to communicate risk to consumers. Mandating warnings increased notice, recall, and health knowledge. Warnings with pictures and describing specific risks were most effective, as was showing warnings without product branding.

Indexed as

Cannabis Health CommunicationCannabis labelingHealth warning labelsHealth warning messages

Identifiers

PMID38222305
PMCPMC10787239

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.