Evidence map›Paper›PMID 42088582›Full record

ReviewFrontiers in pharmacology2026

Management of depression utilizing Traditional Chinese Medicine.

Rong Ma, Junrui Ma, Hushan Zhang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Rong Ma *Zhaotong Health Vocational College, Zhaotong, China.
Junrui Ma *Yunnan University of Traditional Chinese Medicine, Kunming, China.
Hushan ZhangZhaotong Health Vocational College, Zhaotong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a major global health concern, characterized by profound mental and physical debilitation that severely impairs quality of life. The World Health Organization projects that it will become the second-leading cause of global disease burden by 2030, underscoring the urgent need for effective therapeutic strategies. However, the pathogenesis of depression remains incompletely elucidated, and first-line pharmacological treatments, such as selective serotonin reuptake inhibitors (SSRIs), are frequently limited by delayed clinical onset, suboptimal response rates, and notable adverse effects. In contrast, traditional Chinese medicine (TCM), with its holistic philosophy and potential for multi-target modulation, offers a promising complementary approach. This review systematically synthesizes contemporary research on TCM for depression, covering botanical drug formulas, single medicinal botanical drugs, and their purified bioactive metabolites. We critically evaluate the proposed mechanisms-spanning monoaminergic regulation, modulation of neurotrophic factors, anti-inflammatory activity, and interactions between the microbiota-gut-brain axis-and discuss the associated translational challenges and future research directions.

Indexed as

depressionmedicineresearch status and progressTraditional Chinese Medicine (TCM)treatment

Identifiers

PMID42088582
PMCPMC13136110

What OpenQuestion holds

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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.