Literature DB >> 33439877

Ethnomedicinal and folklore inventory of wild plants used by rural communities of valley Samahni, District Bhimber Azad Jammu and Kashmir, Pakistan.

Muhammad Ishtiaq1, Mehwish Maqbool1, Muhammad Ajaib1, Maqsood Ahmed1, Iqbal Hussain2, Humaira Khanam1, Waheeda Mushtaq1, Tanveer Hussain1, Shehzad Azam1, Khizar Hayat Bhatti3, Abdul Ghani4.   

Abstract

The current study describes ethnobotanical (EB) and traditional ethnomedicinal (TEMs) uses of medicinal plants (MPs) of Tehsil Samahni area of Azad Jammu and Kashmir, Pakistan. Indigenous inhabitants of the area mostly reside in remote mountainous areas and depend on wild plants for life necessities and treatment of different diseases. This paper presents first quantitative ethnobotanical study describing the popularity level of MPs in indigenous communities by using relative popularity level (RPL) and rank order of priority (ROP) indices. The data of TEMs and EB uses were collected from 200 interviewees consisting of traditional herbal practioners (110) and farmers (90) from study area using structured and semi-structured interview methodology during year 2019. It was found that illiterate peasants have more knowledge and practice of TEMs than other people. A total of 150 plant species belonging to 58 families with botanical and local names, parts used, mode of recipes preparation, administration mechanism and TEMs uses were documented in systematic manner. It was explored that highest number (7.69%) of plants of Moraceae were used in TEMs and followed by species of Asteraceae (6.29%). The ethnobotanical data was analyzed by using quantitative ethnobotanical tools viz: informant consensus factor (ICF), fidelity level (FL), relative frequency of citation (RFC), use value index (UVI), relative importance of plants (RIP), relative populatiry level (RPL) and rank order of popularity (ROP). The leaf ranked first (36.49%) and fruit 2nd (12.07%) being used in TEMs while prevalent use-form was decoction (29.28%), followed by tea (23.05%) and preferably taken as oral (46.66%). ICF analysis proved that diabetes, hypertension, rabies, snake sting and joint pains were the most prevalent occurring infirmities. The highest RFC (0.95) was found for Acacia modesta, followed by Boerhavia procumbens (RFC:0.87) and Berberis lycium (RFC:0.85). The relative importance of MPs was calculated by using UVI and Moringa oleifera showed highest (1.38), followed by Zanthoxylum armatum (1.25) and Withania somnifera (1.24) use-values. High UVI of plants depicts that these species are predominantly used in local health care system. The plants Phyllanthus emblica, Morus macruora, Justicia adhatoda and Melia azedarach depicted high values (1.00) of FL and RPL proving that these taxa are commonly used in indigenous medicines by local inhabitants and have better potential for drug discovery by ethnopharmacological analysis. Out of total, 26 species had more than 50% ROP index and Phyllanthus emblica and Flacourtia indica (ROP = 100) followed by Morus macruora (ROP: 97) were used to cure 'hypertension and hyperlipidemia' and 'cough, chest infection', respectively. It was found that 30% of total species were previously reported as medicinal while 70% plants were first time reported to be used in TEMs and authenticated by using of quantitative ethnobotanical tools. Ethnopharmacological potential of indigenous plants was confirmed by RIP and RPL indices which had been used to cure one or more body systems and were promulgated in the local herbal medicine system. The research provides clues to screen these plant species by using latest phytochemical and pharmacological analysis for novel drug discovery. This study will also be useful for conservation of bioculture traditional knowledge of indigenous communities and the most important is to conserve medicinal plants of the study area for future generations.

Entities:  

Year:  2021        PMID: 33439877      PMCID: PMC7806180          DOI: 10.1371/journal.pone.0243151

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


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