Evidence map›Paper›PMID 41971592›Full record

ReviewChinese herbal medicines2026

Future prospects of antiviral research in traditional Chinese medicine.

Kexin Wang, Zifeng Yang

Abstract readReview
In one paragraph

Review in Chinese herbal medicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kexin WangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510230, China.
Zifeng YangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510230, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese medicine (TCM) has a long history of treating viral diseases through holistic approaches and multi-component formulations. In response to emerging global viral threats like coronavirus disease-2019 (COVID-19), TCM has demonstrated significant potential in both antiviral and immune-modulatory roles. This review summarizes the current state of TCM antiviral research, highlighting advances in identifying active components and elucidating their mechanisms, which include direct viral inhibition and immune regulation. Technological innovations, including artificial intelligence (AI)-driven drug discovery and advanced extraction methods, are accelerating the development of TCM antiviral products. However, challenges remain in standardization, mechanistic validation, and international regulatory acceptance. Looking ahead, research should prioritize systems pharmacology, the development of multi-dimensional evaluation models, standardized clinical trials, and global health integration. By addressing these challenges, TCM can play a vital role in worldwide antiviral strategies and public health.

Indexed as

active componentsantiviral researchinternationalizationmulti-dimensional modelssystems pharmacologytechnological innovationtraditional Chinese medicine

Identifiers

PMID41971592
PMCPMC13069602

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.