Evidence map›Paper›PMID 42818828›Full record

ArticleFrontiers in pharmacology2026

Pharmacotherapy of the spleen and stomach in Li Shizhen's Bencao Gangmu (Compendium of materia medica, 1596): a text-statistical analysis of 994 entries and a bridge to modern pharmacology.

Wan Sun

Abstract read
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Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Wan SunHubei University of Chinese Medicine, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bencao Gangmu (, 1596), Li Shizhen's Compendium of Materia Medica, is among the most comprehensive pre-modern compilations of East Asian materia medica, yet the full-text distribution of its content on the spleen-stomach ( Aim of the study: To construct a reproducible text-statistical inventory of all spleen- and stomach-related entries in Bencao Gangmu; to characterize the resulting pharmacopoeia by plant identity, taste-nature ( Materials and methods: The Jinling (1596) edition was searched in full text for Results: Of 994 retained entries, 703 specified a concrete drug or therapy. The most frequent botanical drugs were Conclusion: Bencao Gangmu codifies a balanced spleen-stomach pharmacotherapy prioritizing sweet-warm tonification counterweighted by a deliberate cooling-draining arm. The leading botanical drugs converge on phytochemical leads, including atractylenolides, gingerols/shogaols, atractylodin/β-eudesmol, berberine and processed-

Indexed as

Bencao Gangmudigestive systemethnopharmacologyLi Shizhenmedicinal plantsspleen–stomach disorderstext miningtraditional Chinese medicine

Identifiers

PMID42818828
PMCPMC13624087

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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.