Evidence map›Paper›PMID 40746697›Full record

ArticleFrontiers in public health2025

Understanding the online landscape of cannabis discourse: a Twitter analysis.

Miguel Angel Alvarez-Mon, Carla Ojeda, Francisco Lara-Abelenda, Ángel Asunsolo Del Barco, Oscar Fraile-Martínez, Cielo García-Montero, Sonia Fernández-Rojo, Javier Quintero, Miguel Angel Ortega, Melchor Alvarez-Mon and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 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

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

11 authors.

Miguel Angel Alvarez-MonDepartment of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, Alcala de Henares, Spain.
Carla OjedaDepartment of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain.
Francisco Lara-AbelendaDepartment of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, Alcala de Henares, Spain.
Ángel Asunsolo Del BarcoRamón y Cajal Institute of Sanitary Research (IRYCIS), Madrid, Spain.
Oscar Fraile-MartínezDepartment of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, Alcala de Henares, Spain.
Cielo García-MonteroDepartment of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, Alcala de Henares, Spain.
Sonia Fernández-RojoDepartment of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain.
Javier QuinteroDepartment of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain.
Miguel Angel OrtegaDepartment of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, Alcala de Henares, Spain.
Melchor Alvarez-MonDepartment of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, Alcala de Henares, Spain.
Fernando MoraDepartment of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Consultations and admissions for pathologies related to cannabis use are growing ininterrumpedly. The lack of public awareness of the risks can have a negative impact on our society, as well as on new policy proposals. In response, we set out to investigate social media posts about cannabis to better understand the online environment in this regard. Design setting and measures: The study will analyze a dataset of tweets posted between 2018 and 2022, written in Spanish, that include the keyword cannabis, marihuana, or hachis. A total of 68,673 tweets were included in our study. A subset of 500 posts for each keyword was manually analyzed by a researcher to establish a codebook. Subsequently, Machine Learning techniques were employed to analyze the remaining 67,173 comments using the established codebook. Finally, 32,646 of the remaining tweets were excluded as they contained information unrelated to the objectives of this study. Findings: Our research reveals a pronounced Twitter user engagement with cannabis, primarily centered on its regulatory and health dimensions. In more detail, 73.2% of the analyzed tweets were in favor and only 3.5% of the population expressed against its regulation, whereas only 20.4% of the tweets discussed the negative effects of cannabis on physical or mental health. Additionally, 30.1% of the tweets are in favor of the therapeutic use of cannabis, while 69.9% of tweets manifest neutral or against therapeutic use. Our findings also show significant differences on these topics depending on the user type and between consumers versus non-consumers. Conclusion: This analysis of tweets about cannabis provides information on experiences and opinions related to its use. Therefore, the perspectives of Twitter users constitute valuable input that can help improve physicians' knowledge about cannabis and their communication with patients about its dangerousness.

Indexed as

CannabisSocial MediaHumanscannabishachisinfodemiologymarihuanaTwitter

Identifiers

PMID40746697
PMCPMC12310699

What Socratic 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 Socratic graph.