Evidence map›Paper›PMID 38286636›Full record

ReviewDrug metabolism and disposition: the biological fate of chemicals2024

Advances and Challenges in Modeling Cannabidiol Pharmacokinetics and Hepatotoxicity.

Jessica L Beers, Zhu Zhou, Klarissa D Jackson

Open access · bronzeAbstract readReview
In one paragraph

Review in Drug metabolism and disposition: the biological fate of chemicals, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Evaluating cannabidiol-induced liver injury with and without valproate using a three-dimensional human hepatocyte spheroid model.Toxicology in vitro : an international journal published in association with BIBRA · 2025
    Article
  5. Review
  6. Utilization of Cannabidiol in Post-Organ-Transplant Care.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Review
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

3 authors at 1 institution in 1 country.

Jessica L BeersDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (J.L.B., K.D.J.); and Department of Chemistry, York College, City University of New York, Jamaica, New York (Z.Z.) jlbeers@uw.edu.ORCID 0000-0001-6228-2136
Zhu ZhouDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (J.L.B., K.D.J.); and Department of Chemistry, York College, City University of New York, Jamaica, New York (Z.Z.).
Klarissa D JacksonDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (J.L.B., K.D.J.); and Department of Chemistry, York College, City University of New York, Jamaica, New York (Z.Z.).ORCID 0000-0002-9388-9800
University of North Carolina at Chapel Hill · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
UNC-Duke Collaborative Clinical Pharmacology Postdoctoral Training Program-Evaluation SupplementT32GM086330 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KIM L.R. BROUWER, Daniel Gonzalez · 2011 to 2026
$8.5M
Interindividual Variability in Drug Metabolism in Representative PopulationsR35GM143044 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Klarissa D. Jackson · 2021 to 2026
$2.3M
Quantifying effects of comorbidities and genetics on cannabinoid exposure in the elderlyR16GM146679 · NIGMS · YORK COLLEGE · PI ZHOU, ZHU · 2022 to 2025
$795k
NIEHS NIH HHS P30 ES010126NIGMS NIH HHS R16 GM146679NIGMS NIH HHS R35 GM143044NIGMS NIH HHS T32 GM086330
6 · The paper itself

Abstract

Cannabidiol (CBD) is a pharmacologically active metabolite of cannabis that is US Food and Drug Administration approved to treat seizures associated with Lennox-Gastaut syndrome, Dravet syndrome, and tuberous sclerosis complex in children aged 1 year and older. During clinical trials, CBD caused dose-dependent hepatocellular toxicity at therapeutic doses. The risk for toxicity was increased in patients taking valproate, another hepatotoxic antiepileptic drug, through an unknown mechanism. With the growing popularity of CBD in the consumer market, an improved understanding of the safety risks associated with CBD is needed to ensure public health. This review details current efforts to describe CBD pharmacokinetics and mechanisms of hepatotoxicity using both pharmacokinetic models and in vitro models of the liver. In addition, current evidence and knowledge gaps related to intracellular mechanisms of CBD-induced hepatotoxicity are described. The authors propose future directions that combine systems-based models with markers of CBD-induced hepatotoxicity to understand how CBD pharmacokinetics may influence the adverse effect profile and risk of liver injury for those taking CBD. SIGNIFICANCE STATEMENT: This review describes current pharmacokinetic modeling approaches to capture the metabolic clearance and safety profile of cannabidiol (CBD). CBD is an increasingly popular natural product and US Food and Drug Administration-approved antiepileptic drug known to cause clinically significant enzyme-mediated drug interactions and hepatotoxicity at therapeutic doses. CBD metabolism, pharmacokinetics, and putative mechanisms of CBD-induced liver injury are summarized from available preclinical data to inform future modeling efforts for understanding CBD toxicity.

Indexed as

AnticonvulsantsCannabidiolChemical and Drug Induced Liver InjuryModels, BiologicalAnimalsHumansLiverAnticonvulsantsCannabidiol

Identifiers

PMID38286636
PMCPMC11114601
OpenAlexW4391305654

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.