Evidence map›Paper›PMID 35606860›Full record

ArticleJournal of ethnobiology and ethnomedicine2022

Market survey on the traditional medicine of the Lijiang area in Yunnan Province, China.

Mingshuo Zhang, Haitao Li, Junqi Wang, Maohong Tang, Xiaobo Zhang, Shaohua Yang, Jianqin Liu, Ying Li, Xiulan Huang, Zhiyong Li and 1 more

Abstract read
In one paragraph

Article in Journal of ethnobiology and ethnomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

11 authors.

Mingshuo Zhang *School of Pharmacy, Minzu University of China, Beijing, 100081, China.
Haitao Li *Yunnan Key Laboratory of Southern Medicinal Resources, Yunnan Branch, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Jinghong, 666100, China.
Junqi WangSchool of Pharmacy, Minzu University of China, Beijing, 100081, China.
Maohong TangSchool of Pharmacy, Minzu University of China, Beijing, 100081, China.
Xiaobo ZhangChinese Medicine Resource Center of China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Shaohua YangInstitute of Alpine Economic Botany, Yunnan Academy of Agricultural Sciences, Lijiang, 674100, China.
Jianqin LiuLijiang Medical Association of Minorities, Lijiang, 674100, China.
Ying LiLijiang Dongba Culture Research Institute, Lijiang, 674100, China.
Xiulan HuangSchool of Pharmacy, Minzu University of China, Beijing, 100081, China. hxlcun@126.com.
Zhiyong LiSchool of Pharmacy, Minzu University of China, Beijing, 100081, China. lizhiyong7899@sina.com.ORCID http://orcid.org/0000-0003-3237-4317
Luqi HuangChina Academy of Chinese Medical Sciences, Beijing, 100700, China. huangluqi01@126.com.

Funding

State Administration of Traditional Chinese Medicine of the People's Republic of China GZY-KJS-2018-004
6 · The paper itself

Abstract

backgroundTraditional markets are important trading places for medicinal plants, and researchers performing market surveys often engage in ethnobotanical research to record the herbal plants used locally and any related traditional knowledge. However, information on market-traded medicinal plants from traditional markets in the Lijiang area of Yunnan is not well documented. This research is an ethnobotanical survey focusing on medicinal plants traded in the traditional markets of the Lijiang area and contributes to the understanding of medicinal plants and related information used by the Naxi people.

methodsEthnobotanical surveys were performed for two years (2019-2020). Three traditional markets in the Lijiang area were investigated. The methods we used included literature research, participatory surveys and group discussions. The collected voucher specimens were identified using the botanical taxonomy method and were deposited in the herbarium. The data were analysed through the informant consensus factor and use frequency (UF). These medicinal plants were compared with the Information System of Chinese Rare and Endangered Plants from the Chinese Academy of Sciences. Those results were in turn compared with the Dongba Sutras and Yulong Ben Cao.

resultsA total of 277 species from 97 families were recorded, with Asteraceae providing the maximum numbers of medicinal plants. Among them, 248 species (89%) were wild plants and 266 species (92.39%) were from the local area. Root (40.43%) was the most common medicinal part. A total of 267 species (96.04%) had a UF value above 0.5. Eighty-three investigated human ailments were grouped into 16 categories. Diseases of the digestive system (166 mentions) were most frequently mentioned in this study. There were 19 species of nationally protected plants in China, including 2 species of first-level nationally protected plants and 17 species of second-level nationally protected plants. A total of 31 species of these medicinal plants can be found in the Dongba Sutra or Yulong Ben Cao.

conclusionWe surveyed the herbal medicine in the markets covering the Lijiang area, analysing and revealing the resource composition and current market situations. The medicinal plants used by the Naxi people are diverse and are used to treat a wide spectrum of body disorders. There are many wild medicinal plants, and to ensure sustainable development, their natural protection should be strengthened. Knowledge of the medicinal plants recorded in Naxi medical classics has ethnobotanical value and should be further developed.

Indexed as

EthnobotanyPlants, MedicinalChinaHumansMedicine, TraditionalPhytotherapyDongba Sutra, Yulong Ben CaoEthnobotanyLijiang areaMedicinal marketMedicinal plantsNaxiTraditional knowledge

Identifiers

PMID35606860
PMCPMC9125852

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.