Evidence map›Paper›PMID 29858835›Full record

ReviewEuropean journal of drug metabolism and pharmacokinetics2018

Potential Influence of Centrally Acting Herbal Drugs on Transporters at the Blood-Cerebrospinal Fluid Barrier and Blood-Brain Barrier.

Lilian W Kibathi, SoHyun Bae, Scott R Penzak, Parag Kumar

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of drug metabolism and pharmacokinetics, 2018. 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. 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

4 authors.

Lilian W KibathiClinical Pharmacokinetics Research Unit, Clinical Center Pharmacy Department, National Institutes of Health (NIH), Bethesda, MD, USA.
SoHyun BaeUniversity of Iowa College of Pharmacy, Iowa City, IA, USA.
Scott R PenzakDepartment of Pharmacotherapy, University of North Texas System, College of Pharmacy, 3500 Camp Bowie Blvd-RES 302B, Fort Worth, TX, 76107, USA. scott.penzak@unthsc.edu.
Parag KumarClinical Pharmacokinetics Research Unit, Clinical Center Pharmacy Department, National Institutes of Health (NIH), Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complementary and alternative medications (CAM) with known or suspected pharmacologic activity in the central nervous system (CNS) are common. These herbal preparations may cause clinically significant drug-drug interactions (DDIs) when coadministered with medications that act in the CNS. This can result in negative outcomes such as toxicity or loss of efficacy. Most drug interaction reports with CAM focus on cytochrome P450 (CYP) modulation. However, drug interactions between CAM and conventional medications may occur via mechanisms other than CYP inhibition or induction; in particular, modulation of drug transport proteins represents an important mechanism by which such interactions may occur. This article provides an updated review of transporter-mediated mechanisms by which herbal products may theoretically interact with centrally acting medications at the blood-brain barrier and blood-cerebrospinal fluid (CSF) barrier. Further research is required before the true clinical impact of interactions involving modulation of centrally located membrane transporters can be fully understood.

Indexed as

AnimalsBlood-Brain BarrierBrainCentral Nervous System AgentsCerebrospinal FluidHerb-Drug InteractionsHumansMembrane Transport ProteinsPlant PreparationsCentral Nervous System AgentsMembrane Transport ProteinsPlant Preparations

Identifiers

What OpenQuestion holds

Textmetadata
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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.