Evidence map›Paper›PMID 39679130›Full record

ArticleDrug and alcohol dependence reports2024

Cannabidiol prescribing in the United States: An analysis of real-world data.

Binx Yezhe Lin, Chloe Lessard, Yifan Li, Lisa Gong, Ruth Ling, Pallawi Jyotsana, Jacob Steinle, Jacob T Borodovsky, Fábio A Nascimento, Kevin Y Xu

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Binx Yezhe LinDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, United States.
Chloe LessardCarilion Clinic, Virginia Tech Carilion School of Medicine, Roanoke, VA, United States.
Yifan LiCarilion Clinic, Virginia Tech Carilion School of Medicine, Roanoke, VA, United States.
Lisa GongDivision of Addiction Science, Prevention & Treatment, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
Ruth LingDivision of Addiction Science, Prevention & Treatment, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
Pallawi JyotsanaDepartment of Psychiatry, SIU School of Medicine, Springfield, IL, United States.
Jacob SteinleDivision of Addiction Science, Prevention & Treatment, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
Jacob T BorodovskyCenter for Technology and Behavioral Health, Dartmouth Geisel School of Medicine, Lebanon, NH, United States.
Fábio A NascimentoDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, United States.
Kevin Y XuDivision of Addiction Science, Prevention & Treatment, Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Washington University Career Development Program in Drug Abuse and AddictionK12DA041449 · NIDA · WASHINGTON UNIVERSITY · PI Laura J. Bierut, Patricia A Cavazos-Rehg · 2017 to 2026
$4.2M
NIDA NIH HHS K12 DA041449NIDA NIH HHS P30 DA029926
6 · The paper itself

Abstract

Background: Off-label prescribing of Epidiolex® (pharmaceutical cannabidiol) comes with both potential benefits and risks for patients. The aims of this study were to: (1) identify the percentage of people prescribed Epidiolex® who do not have diagnostic indications for Epidiolex® (Lennox Gastaut Syndrome [LGS], Dravet Syndrome [DS], and Tuberous Sclerosis Complex [TSC]) and (2) examine potential co-prescribing of medications that may interact with Epidiolex®. Method: Using TriNetX analytics, a web-based database of de-identified electronic health records spanning >110 million people in the United States, we analyzed 4214 people receiving Epidiolex® in 2022. We computed the number of people prescribed Epidiolex® who did not have diagnoses for LGS, DS, or TSC. We evaluated the prevalence of co-occurring prescriptions that are known to interact with cannabidiol following each individual's first Epidiolex® prescription. Results: Among individuals receiving Epidiolex®, 40 % did not have FDA-approved diagnostic indications (LGS/DS/TSC) in the medical record. In the overall sample, co-occurring psychotropic prescribing was prevalent, including medications with known interactions with cannabidiol (Clobazam=47.2 %; Diazepam=47.4 %; Clonazepam=40.7 %). Among individuals without LGS/DS/TSC who received Epidiolex®, the most common diagnoses received following the index prescription were unspecified epileptic syndromes (53.8 %), sleep disorders (25.7 %), anxiety disorders (25.9 %), mood disorders (18.6 %) and autism spectrum disorders (10.8 %). Conclusion: Off-label prescribing and co-prescription of medications with known interactions with cannabidiol is prevalent. Further research is needed to elucidate longitudinal outcomes associated with off-label Epidiolex® prescribing.

Indexed as

CannabidiolCannabisHealth services researchMedical marijuanaRoutinely collected health data

Identifiers

PMID39679130
PMCPMC11638645

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.