Evidence map›Paper›PMID 41691361›Full record

ArticleJournal of cannabis research2026

Pharmacogenetic association study of cannabis use in chronic pain.

William Beauchesne, Jordan Turcotte, Philippe Mercier, Flore Lavoie, Laurence Tessier, Ann-Lorie Gagnon, Catherine Allard, Elliot Fortin, Guillaume Léonard, Louis Gendron and 1 more

Abstract read
In one paragraph

Article in Journal of cannabis research, 2026. 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.

William BeauchesnePharmacology-Physiology Department, Université de Sherbrooke, Saguenay, QC, Canada.
Jordan TurcotteCentre de recherche et d'innovation, Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) du Saguenay-Lac-Saint-Jean, Saguenay, Québec, Canada.
Philippe MercierCentre de recherche et d'innovation, Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) du Saguenay-Lac-Saint-Jean, Saguenay, Québec, Canada.
Flore LavoieCentre de recherche et d'innovation, Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) du Saguenay-Lac-Saint-Jean, Saguenay, Québec, Canada.
Laurence TessierPharmacology-Physiology Department, Université de Sherbrooke, Saguenay, QC, Canada.
Ann-Lorie GagnonCentre de recherche et d'innovation, Centre Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) du Saguenay-Lac-Saint-Jean, Saguenay, Québec, Canada.
Catherine AllardCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CRCHUS), Sherbrooke, QC, Canada.
Elliot FortinPharmacology-Physiology Department, Université de Sherbrooke, Saguenay, QC, Canada.
Guillaume LéonardSchool of Rehabilitation, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC, Canada.
Louis GendronPharmacology-Physiology Department, Université de Sherbrooke, Saguenay, QC, Canada.
Karine TremblayPharmacology-Physiology Department, Université de Sherbrooke, Saguenay, QC, Canada. karine.tremblay@usherbrooke.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain is one of the leading causes of disability worldwide. Despite the various pharmacological treatments available, patients with chronic pain often remain with significant disabilities and unsatisfactory pain control. Cannabis and cannabinoids are sometimes used in the treatment of chronic pain as they have been shown to be useful in a subset of patients. Some of the adverse effects associated with cannabis use, such as cannabis use disorder (CUD) and cannabis-induced psychosis, have been associated with several genetic variants. Despite this, the paucity of the data or the contradictory results for reported variants limits our ability to use them as genetic markers to personalize cannabis treatment tailored to patients’ genetic background. The aim of this genetic association study was to investigate the link between previously reported genes and cannabinoid response in terms of pain response, CUD and risk of psychotic adverse events in patients with chronic pain.

methodsPhone or in person interviews were conducted to document participants’ characteristics, cannabis use and effects, concurrent pharmacotherapy and comorbid conditions. Screening for CUD was performed using the Cannabis Use Disorders Identification Test – Revised. Blood or saliva samples were collected for the genotyping of 18 variants in 11 genes (BDNF, CNR1, CNR2, COMT, CYP2C9, FAAH, GABRA2, HES7, KAT2B, NRG1 and OPMR1).

resultsOne hundred participants were recruited, with blood or saliva samples collected from 77 of them. Two single-nucleotide polymorphisms (SNP) in cannabinoid receptor 1 (CNR1) were associated, before multiple testing correction, with psychotic adverse events. Namely, T allele carriage of the CNR1 rs1049353 C > T variant increased the odds of having psychotic adverse events (OR = 6.1, 95% CI 1.7 – 27.9, p-value = 0,009) and C allele carriage of the CNR1 rs2023239 T > C intronic variant also increased these odds (OR = 3.5, 95% CI 1.5 – 9.4, p-value = 0,033). These findings were not significant after adjustment for multiple SNPs testing and none of the variants were associated with CUD or pain response.

conclusionsThese results suggest alternative allele carriers of rs1049353 and rs2023239 could be at an increased risk of psychotic adverse events related to cannabis use, although additional investigation is required to replicate and confirm these findings.

Indexed as

CannabisCannabis use disorderChronic painPharmacogeneticsPsychosis

Identifiers

PMID41691361
PMCPMC13011771

What OpenQuestion 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 OpenQuestion graph.