Evidence map›Paper›PMID 42401894›Full record

ArticleJournal of ethnobiology and ethnomedicine2026

Traditional medicinal bath plants along the Beibu Gulf coast of Guangxi, China.

Tingting Li, Qianyun Wang, Binsheng Luo, Dipak Khadka, Kedao Lai, Renchuan Hu

Abstract read
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Article in Journal of ethnobiology and ethnomedicine, 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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5 · Who and what money

Authors and funding

6 authors.

Tingting LiJiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Qianyun WangGuangxi Key Laboratory of Traditional Chinese Medicine Quality Standards, Guangxi Institute of Chinese Medicine and Pharmaceutical Science, Nanning, 530022, China.
Binsheng LuoLushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Lushan, 332900, China.
Dipak KhadkaState Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, Guangdong, China.
Kedao LaiGuangxi Key Laboratory of Traditional Chinese Medicine Quality Standards, Guangxi Institute of Chinese Medicine and Pharmaceutical Science, Nanning, 530022, China. laikedao@163.com.
Renchuan HuGuangxi Key Laboratory of Traditional Chinese Medicine Quality Standards, Guangxi Institute of Chinese Medicine and Pharmaceutical Science, Nanning, 530022, China. hrcgxmi@163.com.

Funding

the Natural Science Foundation of Guangxi 2023GXNSFAA026089
6 · The paper itself

Abstract

backgroundMedicinal baths are a widely practiced traditional health maintenance method in southern China, yet systematic ethnobotanical studies from coastal regions remain limited. The Beibu Gulf coastal area of Guangxi is a biologically and culturally diverse region where such practices are actively maintained. This study aims to document the plant species used in traditional medicinal baths and to characterize their composition, usage patterns, and regional variation.

methodsEthnobotanical interviews were conducted at 20 sites across Beihai, Qinzhou, and Fangchenggang City, which comprise the Beibu Gulf. A total of 135 informants (62 males and 73 females) were interviewed in medicinal markets and traditional villages. Data on plant species, plant parts used, and medicinal applications were recorded. Quantitative analyses, including Jaccard Index (JI), cumulative contribution analysis, and Gini coefficient, were applied to assess species similarity and usage patterns.

resultsA total of 286 plant species used for medicinal baths were recorded. These plants belong to 92 families and 218 genera. Fabaceae, Lamiaceae, Rubiaceae, and Asteraceae were the dominant families, with monotypic genera prevalent. Herbs were the most common life form (99 species, 34.62%). Branches, leaves, and whole plants accounted for 71.66% of use. The main applications of these plants in medicinal bath practices were for traumatic injuries, rheumatic diseases, and skin conditions (58.50%). Species richness was highest in Fangchenggang (249 species), followed by Qinzhou (238) and Beihai (144), with 133 shared species. Higher similarity was observed between Fangchenggang and Qinzhou (JI = 0.72). The top 10, 20, 30, 50, and 100 species contributed 10.24%, 18.16%, 25.10%, 37.47%, and 62.25% of total usage frequency, respectively, with a Gini coefficient of 0.383.

conclusionsThe medicinal bath plant system in the Beibu Gulf coastal region is characterized by high species richness and a balanced structure of commonly used and supplementary species. While a shared core flora exists, local differences among cities in the Beibu Gulf are also evident. This study provides comprehensive ethnobotanical data from southern coastal China and offers a regional case for understanding plant selection and functional convergence in medicinal bath practices.

Indexed as

BathsMedicine, Chinese TraditionalPlants, MedicinalAdultAgedChinaEthnobotanyFemaleHumansMaleMiddle AgedPhytotherapyBeibu GulfEthnobotanyMedicinal bathMedicinal plantsTraditional knowledge

Identifiers

PMID42401894
PMCPMC13625259

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