Evidence map›Paper›PMID 24335390›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2014

Herb-drug interactions: challenges and opportunities for improved predictions.

Scott J Brantley, Aneesh A Argikar, Yvonne S Lin, Swati Nagar, Mary F Paine

Open access · bronzeAbstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 1 pooled it
13.9field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 1 synthesis or guideline pooled it, 198 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Assessing Multimodal AI for Visual Information Extraction of Pharmacology.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
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  9. Article
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  14. Predicting Natural Product-Drug Interactions with Knowledge Graph Embeddings.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
  15. Review
  16. Article
  17. Review
  18. Potential drug-drug interactions in outpatients with depression of a psychiatry department.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  19. Article
  20. Review

19 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

Scott J BrantleyDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina (S.J.B.); Department of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia, Pennsylvania (A.A.A., S.N.); Department of Pharmaceutics, University of Washington, Seattle, Washington (Y.S.L.); and College of Pharmacy, Washington State University, Spokane, Washington (M.F.P.).
Aneesh A Argikar
Yvonne S Lin
Swati Nagar
Mary F Paine
University of Washington · USTemple University · USUniversity of North Carolina at Chapel Hill · USWashington State University Spokane · US

Funding

Mechanisms Underlying Drug-Diet InteractionsR01GM077482 · NIGMS · WASHINGTON STATE UNIVERSITY · PI PAINE, MARY F · 2007 to 2014
$3.3M
Colorectal cancer chemoprevention with phytochemical combinationsR03CA159389 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI NAGAR, SWATI · 2012 to 2013
$148k
NCI NIH HHS R03 CA159389NCI NIH HHS R03-CA159389NIGMS NIH HHS R01 GM077482NIGMS NIH HHS R01-GM077482
6 · The paper itself

Abstract

Supported by a usage history that predates written records and the perception that "natural" ensures safety, herbal products have increasingly been incorporated into Western health care. Consumers often self-administer these products concomitantly with conventional medications without informing their health care provider(s). Such herb-drug combinations can produce untoward effects when the herbal product perturbs the activity of drug metabolizing enzymes and/or transporters. Despite increasing recognition of these types of herb-drug interactions, a standard system for interaction prediction and evaluation is nonexistent. Consequently, the mechanisms underlying herb-drug interactions remain an understudied area of pharmacotherapy. Evaluation of herbal product interaction liability is challenging due to variability in herbal product composition, uncertainty of the causative constituents, and often scant knowledge of causative constituent pharmacokinetics. These limitations are confounded further by the varying perspectives concerning herbal product regulation. Systematic evaluation of herbal product drug interaction liability, as is routine for new drugs under development, necessitates identifying individual constituents from herbal products and characterizing the interaction potential of such constituents. Integration of this information into in silico models that estimate the pharmacokinetics of individual constituents should facilitate prospective identification of herb-drug interactions. These concepts are highlighted with the exemplar herbal products milk thistle and resveratrol. Implementation of this methodology should help provide definitive information to both consumers and clinicians about the risk of adding herbal products to conventional pharmacotherapeutic regimens.

Indexed as

Herb-Drug InteractionsPharmacokineticsAnimalsComputer SimulationDrug DesignDrug Evaluation, PreclinicalGovernment RegulationHumansLegislation, DrugModels, BiologicalPharmaceutical PreparationsPlant PreparationsResveratrolSilybinSilybum marianumSilymarinPharmaceutical PreparationsPlant PreparationsResveratrolSilybinSilymarinStilbenes

Identifiers

PMID24335390
PMCPMC3935140
OpenAlexW2161461118

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.