Evidence map›Paper›PMID 30111346›Full record

ArticleJournal of ethnobiology and ethnomedicine2018

Ethnomedicinal applications of animal species by the local communities of Punjab, Pakistan.

Muhammad Altaf, Muhammad Umair, Abdul Rauf Abbasi, Noor Muhammad, Arshad Mehmood Abbasi

Abstract read
In one paragraph

Article in Journal of ethnobiology and ethnomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

18 citing papers in PubMed.

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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

5 authors.

Muhammad AltafDepartment of Zoology, Women University of Azad Jammu and Kashmir, Bagh, Pakistan.
Muhammad UmairSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Abdul Rauf AbbasiStatistical Wing, Department of Mathematics, Women University of Azad Jammu and Kashmir, Bagh, Pakistan.
Noor MuhammadDepartment of Fisheries and Aquaculture, Punjab, Pakistan.
Arshad Mehmood AbbasiDepartment of Environment Sciences, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan. arshad799@yahoo.com.ORCID http://orcid.org/0000-0001-9978-3866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent species of animals are being utilized in traditional therapies by various cultures for a long time and such uses still exist in folk medicine. The present study aimed to document animal-based traditional therapies used by the local communities of Jhelum and Lahore districts of the Punjab province, Pakistan.

methodsField surveys were conducted in 2015-2016 in six different sites of the study areas. Data were collected through semi-structured interviews and face to face conversation with local informants.

resultsThe ethnomedicinal uses of 57 species of animals including mammals, birds, fish, reptiles, amphibian, and invertebrates (30, 25, 25, 7, 3.5, and 3.5%, respectively) were documented. Meat, oil, brain, fats, milk, eggs, and skin were the most utilized body parts. Ovis orientalis punjabiensis, Francolinus francolinus, Sperata sarwari, Channa punctata, Oreochromis niloticus, Ctenopharyngodon idella, Cyprinus carpio, Labeo rohita, and Carassius auratus were reported for the first time to treat human diseases, i.e., allergy, epilepsy, fever, joint pain, and backache, to act as aphrodisiac, and to enhance memory. Streptopelia decaocto and S. tranquebarica were the most frequently utilized species with highest frequency of citation (32 for each). Columba livia depicted highest fidelity level and used value of 92.86% and 0.89, respectively.

conclusionsBeing agro-pastoralists, the inhabitants of Jhelum possess more traditional knowledge compared to Lahore. The present study could be important for conservation and sustainable use of animal biodiversity in this region. Additionally, detailed study on chemical profiling and bioactivities may lead to animal-based novel drug discovery.

Indexed as

Medicine, TraditionalAdultAgedAnimalsCluster AnalysisFemaleHumansMaleMiddle AgedPakistanPrincipal Component AnalysisAnimal speciesLocal communitiesPakistanTraditional therapies

Identifiers

PMID30111346
PMCPMC6094468

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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.