Evidence map›Paper›PMID 41257970›Full record

ArticleJournal of cannabis research2025

Assessing patient perceptions of off-label cannabidiol use for insomnia through sentiment analysis.

Gabriel Rodrigues Coutinho Pereira, Altobelli de Brito Mantuan, Julio Cesar Dos Santos Oliveira, Gabriel Estevão Silva Fares, Vitor Manoel Dos Santos Santiago Sá, Valéria Pereira de Sousa, Carlos Rangel Rodrigues, Lucio Mendes Cabral

Abstract read
In one paragraph

Article in Journal of cannabis research, 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
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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

8 authors.

Gabriel Rodrigues Coutinho Pereira *Faculty of Pharmacy, Federal University of Rio de Janeiro, 373 Carlos Chagas Filho Avenue, Rio de Janeiro, Rio de Janeiro, 21941-170, Brazil.
Altobelli de Brito Mantuan *Computer Institute, Federal Fluminense University, Gen. Milton Tavares de Souza Avenue, Niteroi, Rio de Janeiro, 24210-310, Brazil.
Julio Cesar Dos Santos OliveiraFaculty of Pharmacy, Federal University of Rio de Janeiro, 373 Carlos Chagas Filho Avenue, Rio de Janeiro, Rio de Janeiro, 21941-170, Brazil.
Gabriel Estevão Silva FaresFaculty of Pharmacy, Federal University of Rio de Janeiro, 373 Carlos Chagas Filho Avenue, Rio de Janeiro, Rio de Janeiro, 21941-170, Brazil.
Vitor Manoel Dos Santos Santiago SáFaculty of Pharmacy, Federal University of Rio de Janeiro, 373 Carlos Chagas Filho Avenue, Rio de Janeiro, Rio de Janeiro, 21941-170, Brazil.
Valéria Pereira de SousaFaculty of Pharmacy, Federal University of Rio de Janeiro, 373 Carlos Chagas Filho Avenue, Rio de Janeiro, Rio de Janeiro, 21941-170, Brazil.
Carlos Rangel RodriguesFaculty of Pharmacy, Federal University of Rio de Janeiro, 373 Carlos Chagas Filho Avenue, Rio de Janeiro, Rio de Janeiro, 21941-170, Brazil.
Lucio Mendes CabralComputer Institute, Federal Fluminense University, Gen. Milton Tavares de Souza Avenue, Niteroi, Rio de Janeiro, 24210-310, Brazil. lmcabral2@yahoo.com.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent global policy shifts have greatly expanded access to and the market for medicinal cannabis, broadening its availability for therapeutic use. These changes have led to a notable increase in off-label prescriptions of cannabidiol (CBD) based products, particularly for conditions such as epilepsy, anxiety, depression, insomnia, and chronic pain. Despite its growing popularity, clinical studies investigating the efficacy of CBD for insomnia remain limited, raising questions about its suitability for decision support. In this scenario, sentiment analysis provides an additional, low-cost, and measurable outcome of patients' perceptions, which has proven valuable in offering an additional layer of understanding regarding the perceived effectiveness of treatments. Therefore, the objective of this study was to assess patients' perception regarding off-label CBD use for insomnia through sentiment analysis.

methodsEnglish-language tweets related to CBD use for insomnia were collected from June 25, 2018, to January 9, 2023. The data was cleaned, and a representative subset of comments was manually labeled by experts. Then, a ROBERTA-based model was trained to automatically classify the remaining tweets in the database as either signals or noise. Finally, topic modeling and sentiment analysis were performed on the database of signal tweets.

resultsFrom the 74,562 unique comments retrieved, 25,005 were classified as relevant based on both manual labeling and predictions made by the validated model. Topic modeling revealed eleven major themes, including the perceived efficacy of CBD for anxiety, pain, and insomnia, as well as practical considerations regarding treatment routines and preparation preferences. Sentiment analysis revealed positive feedback regarding CBD's use for insomnia, indicating that most users perceive it as an effective treatment for this condition.

conclusionsThis study offers valuable insights into patient perceptions of off-label CBD use for insomnia, suggesting that CBD may indeed be beneficial for this condition, which aligns with existing, albeit limited, experimental evidence. Consequently, further research is necessary to confirm its efficacy. In this scenario, the application of sentiment analysis emerges as an effective tool for assessing patient perceptions, providing a richer context that complements the still limited evidence from traditional clinical trials on CBD use for insomnia.

trial registrationNot applicable.

Indexed as

CannabidiolInsomniaSentiment analysis

Identifiers

PMID41257970
PMCPMC12628953

What Socratic holds

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LicenceCC BY
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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.