Evidence map›Paper›PMID 33526127›Full record

ArticleJournal of cannabis research2020

A content analysis of internet information sources on medical cannabis.

Daniel J Kruger, Ilana M Moffet, Liliah C Seluk, Lara A Zammit

Abstract read
In one paragraph

Article in Journal of cannabis research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

4 authors.

Daniel J KrugerPopulation Studies Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48109-1248, USA. kruger@umich.edu.ORCID http://orcid.org/0000-0002-2757-7016
Ilana M MoffetLiterature, Science, and the Arts, University of Michigan, Ann Arbor, MI, USA.
Liliah C SelukLiterature, Science, and the Arts, University of Michigan, Ann Arbor, MI, USA.
Lara A ZammitLiterature, Science, and the Arts, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical cannabis users report that their knowledge regarding cannabis is predominantly from their own personal experiences and the Internet.

objectiveWe summarize and describe information found through Internet searches on medical cannabis in English language websites.

methodsWe used terms related to medical cannabis in the Google search engine between November and December 2019. Resulting websites were catalogued and coded for content, including mentions of health and medical conditions, pharmacology, dosage, harmful or adverse effects, harm reduction techniques, cautions or warnings, products for sale, and credentials.

resultsWe coded 344 web pages on 179 unique websites. Cannabis was mentioned for the treatment of 151 different medical and health conditions, only four of the twenty most frequently mentioned conditions have received substantial empirical support for cannabis or cannabinoid treatment. Information content varied widely across sites, only a small proportion of sites included information on pharmacology, dosage, risks, and other aspects that are requirements for pharmaceutical drugs. Information provided was only moderately related to conclusions in the emerging scientific literature.

conclusionsGiven the rise in cannabis use within the U.S. and the reliance on the Internet as a source of information, considerable efforts are needed to provide accurate on-line cannabis education to minimize harms and maximize benefits for individuals and society.

Indexed as

CannabinoidInformationInternetKnowledgeMarijuanaMedical cannabis

Identifiers

PMID33526127
PMCPMC7819301

What OpenQuestion holds

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LicenceCC BY
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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.