Evidence map›Paper›PMID 40779446›Full record

ArticlePloS one2025

RETRACTED: Perennial plants and traditional medicine: Assessing the socio-demographic impacts on traditional remedies.

Xiaonan Wang, Yi Zheng, Xin Cui, Tauseef Anwar, Huma Qureshi, Abdullah

RetractedAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Xiaonan WangCollege of Life Sciences, Changchun Sci-Tech University, Changchun, Jilin, China.
Yi ZhengCollege of Life Sciences, Changchun Sci-Tech University, Changchun, Jilin, China.
Xin CuiCollege of Life Sciences, Changchun Sci-Tech University, Changchun, Jilin, China.
Tauseef AnwarDepartment of Botany, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Huma QureshiDepartment of Botany, University of Chakwal, Chakwal, Pakistan.ORCID 0000-0001-7120-4893
Abdullah

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assessed the curative uses of wild medicinal plants and investigated the socio-demographic aspects influencing traditional medicinal knowledge in Tehsil Hasilpur, Punjab. Using snowball sampling, data were collected from 300 respondents through interviews and field surveys. Analysis included plant life span, plant parts used, preparation methods, and quantitative indices such as Informant Consensus Factor (ICF), Use Value (UV), and Fidelity Level (FL). The findings revealed that males comprised 85.6% of respondents, reflecting cultural constraints on women's participation. Traditional knowledge was more prevalent among individuals with primary education (53%) and the illiterate (24%). Perennial species dominated (98.6%), leaves are the most commonly utilized plant part (65.33%), and decoctions are the most popular preparation method (24%). High ICF values indicated strong consensus on plant efficacy, with Eucalyptus globulus exhibiting significant use value. These findings emphasize the impact of gender, education, and occupation on knowledge transfer, as well as the ecological significance of local flora. The study recommends integrating traditional medicinal knowledge into healthcare strategies and promoting collaborative conservation efforts to ensure sustainable use of ethnomedicinal resources.

Indexed as

Medicine, TraditionalPhytotherapyPlants, MedicinalAdolescentAdultAgedFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSocioeconomic FactorsYoung Adult

Identifiers

PMID40779446
PMCPMC12334007

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.