Evidence map›Paper›PMID 39666289›Full record

ReviewJournal of food and drug analysis2022

Metabolism-involved drug interactions with traditional Chinese medicines in cardiovascular diseases.

Ren-Jong Liang, Shu-Hao Hsu, Tien-Yu Chang, Tzu-Yi Chiang, Hong-Jaan Wang, Yune-Fang Ueng

Abstract readReview
In one paragraph

Review in Journal of food and drug analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Ren-Jong LiangMedical Supplies and Maintenance, Hualien Armed Forces General Hospital, Hualien, Taiwan, Republic of China.
Shu-Hao HsuSchool of Pharmacy, National Defense Medical Center, Taipei, Taiwan, Republic of China.
Tien-Yu ChangSchool of Pharmacy, National Defense Medical Center, Taipei, Taiwan, Republic of China.
Tzu-Yi ChiangDivision of Basic Chinese Medicine, National Research Institute of Chinese Medicine, Taipei, Taiwan, Republic of China.
Hong-Jaan WangSchool of Pharmacy, National Defense Medical Center, Taipei, Taiwan, Republic of China.
Yune-Fang UengDivision of Basic Chinese Medicine, National Research Institute of Chinese Medicine, Taipei, Taiwan, Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbal medicines have been widely used for the past millennia. Traditional Chinese medicine (TCM) is a major modality in Chinese medical care and has garnered global attention owing to its pharmacological effects and multi-targeted actions. The increased incidence of sequential or concurrent use of herbs and drugs in patients forces us to consider herb-drug interactions (HDIs) in this modern era. One of the main causes of HDIs is modulation of drug metabolism, in which cytochrome P450 (CYP), UDP-glucuronosyltransferase (UGT), and transporters play primary roles. In this review, we focus on in vivo studies of HDIs, particularly in the treatment of cardiovascular disease (CVD), which is currently the leading cause of disease-related mortality worldwide. A total of 55 HDIs are summarized, and their potential underlying mechanisms are examined. The pharmacokinetic (PK) and pharmacodynamic (PD) effects of three single herbs (Danshen, Ginseng, and Ginkgo) and four compound prescriptions (Shenmai injection, Shengmai-San, Shu-Jing-Hwo-Shiee-Tang, and Wu-Chu-Yu-Tang) are discussed. Due to the complex compositions and PK/PD profiles of TCMs, the determinants of significant HDIs have been listed to further define the pros and cons of HDIs in medical care.

Identifiers

PMID39666289
PMCPMC9635916

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.