MétaCan
Menu
Back to cohort
Record W6987779804

Usage de cannabis et automédication chez les personnes vivant avec de la douleur chronique

2024· other· fr· W6987779804 on OpenAlexaboutno aff

Bibliographic record

VenueDepositum (Université du Québec en Abitibi-Témiscamingue) · 2024
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCannabisCannabis sativaElderly peopleUrban environment
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ La douleur chronique (DC) est définie comme une douleur qui persiste au-delà de trois mois. Cette maladie, qui touche 20 % des adultes au Canada, est associée à plusieurs facteurs biologiques, psychologiques et sociaux. Malgré des décennies de recherche sur la DC et son traitement, sa prise en charge continue d’être sous-optimale et les personnes aux prises avec la DC sont en quête d’alternatives de traitement. Le cannabis est utilisé par un tiers des personnes vivant avec de la DC pour le soulagement de leur douleur, malgré les mises en garde de plusieurs organisations concernant son efficacité et sa sécurité. Nous savons actuellement très peu de choses sur les pratiques d’automédication (utilisation du cannabis à des fins thérapeutiques sans accompagnement), particulièrement depuis la légalisation du cannabis non médical dans des pays comme le Canada. Cette étude visait à : 1) Décrire l’automédication avec le cannabis pour le soulagement de la douleur chez les personnes vivant avec de la DC, et 2) Explorer les perceptions de l’efficacité et de la sécurité du cannabis pour la gestion de la DC. Une étude descriptive transversale a été réalisée auprès de 73 personnes vivant avec de la DC et utilisant du cannabis (Québec, Canada). La collecte de données par entretiens téléphoniques a eu lieu de janvier à mai 2023. Les résultats ont indiqué que 61,6 % des personnes participantes déclaraient utiliser du cannabis sans accompagnement de la part d’une personne professionnelle de la santé (automédication). Parmi celles-ci, 40,0 % détenaient pourtant une autorisation médicale. En tout, 20,6 % des personnes participantes utilisaient à la fois du cannabis médical et non médical. La proportion de femmes par rapport aux hommes pratiquant l’automédication était de 58,2 % contre 70,6 % (p=0,284). En termes de perceptions, 90,4 % de l’échantillon percevait le cannabis comme efficace pour la gestion de la douleur, et 72,6 % estimaient qu’il ne présentait aucun risque ou un risque minimal pour la santé. La recherche sur le cannabis est souvent organisée autour du cannabis médical vs non médical, mais dans le contexte réel, ces deux types d’usage se chevauchent. Ainsi, les chercheuses et chercheurs, les personnes professionnelles de la santé et les organismes de financement, doivent en tenir compte. Les personnes utilisant du cannabis perçoivent le cannabis comme sécuritaire et beaucoup d’entre eux s’automédiquent, ce qui est un appel à l’action. ABSTRACT Chronic pain is defined as pain that persists for more than three months. This condition, which affects 20% of Canadians, is associated with several biological, psychological, and social risk factors. Despite decades of research on DC and its treatment, its management unfortunately continues to be suboptimal, and people struggling with DC are searching for alternative treatments. Cannabis is used by one-third of people living with chronic pain to alleviate their symptoms despite warnings from several organizations regarding its efficacy and safety. We currently know very little about self-medication practices (use of cannabis for therapeutic purposes without guidance), mainly since the legalization of recreational cannabis in countries such as Canada has opened the doors to this phenomenon. This study aimed to: (1) Describe cannabis self-medication for pain relief in people living with chronic pain, and (2) Explore perceptions of the effectiveness and safety of cannabis. A descriptive cross-sectional study was performed among 73 individuals living with chronic pain and using cannabis (Quebec, Canada). Data collection using telephone interviews occurred from January to May 2023. Results indicated that 61.6% of participants reported using cannabis without the guidance of a healthcare professional (self-medication). Among those, 40.0% however held a medical authorization. Overall, 20.6% of study participants were using both medical and non-medical cannabis. Proportion of women vs. men participants self-medicating were 58.18% vs. 70.59% (p=0.284). In terms of perceptions, 90.4% of the sample perceived cannabis to be effective for pain management; 72.6% estimated that it posed no or minimal health risk. Cannabis research is often organized around medical vs. non-medical cannabis but in the real-world context, those two vessels are connected. Interested parties, including researchers, healthcare professionals and funding agencies, need to consider this. Patients using cannabis feel confident in the safety of cannabis, and many of them self-medicate, which calls for action.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.372

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.208
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueDepositum (Université du Québec en Abitibi-Témiscamingue)French-language works237,207