Evidence map›Paper›PMID 41283337›Full record

ArticleMedicines (Basel, Switzerland)2025

Cannabis Use and Analgesic Prescribing in UK Primary Care: A Retrospective Cohort Study of Patients with Osteoarthritis.

Simon Erridge, Joht Singh Chandan, Krishna M Gokhale, Christian Billinghurst, Mikael H Sodergren

Abstract read
In one paragraph

Article in Medicines (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Simon ErridgeMedical Cannabis Research Group, Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK.ORCID 0000-0001-5871-6501
Joht Singh ChandanDepartment of Applied Health Sciences, University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0002-9561-5141
Krishna M GokhaleDepartment of Applied Health Sciences, University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0002-2167-9572
Christian BillinghurstDexter Software, 97 Vincent Drive, Birmingham B15 2SQ, UK.ORCID 0009-0006-2437-7146
Mikael H SodergrenMedical Cannabis Research Group, Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to assess differences in analgesia prescribing in UK primary care between individuals with osteoarthritis who have a recorded exposure to cannabis use and those who do not.

methodsThis population-based retrospective cohort study included opioid-naïve patients with osteoarthritis (aged 25-85 years) who were active in Clinical Practice Research Datalink Aurum between 1 January 1995 and 15 December 2023. Patients with osteoarthritis who had current or historic cannabis use recorded were matched to two unexposed individuals by age, sex, smoking status, and health authority. Patients were followed up to assess prescriptions of analgesia. Cox regression was performed adjusted for age, sex, and ethnicity.

results662 exposed patients were matched to 1319 unexposed patients. Cannabis-exposed individuals were more likely to be prescribed opioids (adjusted hazard ratio (HR): 2.06; 95% confidence interval (CI): 1.74-2.43;

conclusionsThis study suggests there is an association between coded exposure to cannabis in UK primary care records and increased prescribing of analgesia. Given the relative scarcity of recorded cannabis use relative to its prevalence in the general population, these findings must be interpreted cautiously. The increased hazard of using analgesia and mortality within the cannabis-exposed cohort may be confounded by socioeconomic status and a higher likelihood of coding cannabis use in those experiencing adverse effects after consumption or cannabis misuse disorder.

Indexed as

analgesiacannabischronic painopioidsosteoarthritisprimary care

Identifiers

PMID41283337
PMCPMC12641637

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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.