ArticleNPJ digital medicine2023
Disparities in cannabis use and documentation in electronic health records among children and young adults.
Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- A cannabis use Reddit dataset for aspect-based sentiment analysis.Data in brief · 2026Article
- Large language models for zero-shot procedure extraction in orthopedic surgery: a comparative evaluation.Scientific reports · 2026Article
- Effect of Marijuana Use on Pain Management and Return to Sport After Anterior Cruciate Ligament Reconstruction in Pediatric and Adolescent Patients: A Matched Control Study.Orthopaedic journal of sports medicine · 2025Article
- Article
- Review
- Decoding substance use disorder severity from clinical notes using a large language model.Npj mental health research · 2025Article
- Cannabis tolerance reduces symptom relief.Frontiers in pharmacology · 2025Article
- The impact of recreational cannabinoid legalization on utilization in a pregnant population.Frontiers in public health · 2024Article
- Cannabis Use Documentation within the Electronic Health Record: A Use Case for Natural Language Processing Methods.Medical cannabis and cannabinoidsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The legalizations of medical and recreational cannabis have generated a great deal of interest in studying the health impacts of cannabis products. Despite increases in cannabis use, its documentation during clinical visits is not yet mainstream. This lack of information hampers efforts to study cannabis's effects on health outcomes. A clear and in-depth understanding of current trends in cannabis use documentation is necessary to develop proper guidelines to screen and document cannabis use. Here we have developed and used a natural language processing pipeline to evaluate the trends and disparities in cannabis documentation. The pipeline includes a screening step to identify clinical notes with cannabis use documentation which is then fed into a BERT-based classifier to confirm positive use. This pipeline is applied to more than 23 million notes from a large cohort of 370,087 patients seen in a high-volume multi-site pediatric and young adult clinic over a period of 21 years. Our findings show a very low but growing rate of cannabis use documentation (<2%) in electronic health records with significant demographic and socioeconomic disparities in both documentation and positive use, which requires further attention.
Identifiers
What OpenQuestion holds
Registered trials
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.