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Ethnomedicinal uses of plants for various diseases in the remote areas of Changa Manga Forest, Pakistan / Usos etnomedicinais de plantas para várias doenças nas áreas remotas da Floresta Changa Manga, Paquistão
Sharif, A; Shah, N. A; Rauf, A; Hadayat, N; Gul, A; Nawaz, G; Sakhi, S; Iqbal, M; Khan, M. R; Shah, A. A; Azam, N; Iftikhar, H; Shah, S. A; Bahadur, S; Hussain, F; Shuaib, M.
  • Sharif, A; Quaid-i-Azam University. Faculty of Biological Sciences. Department of Biochemistry. Islamabad. PK
  • Shah, N. A; COMSATS University. Department of Biosciences. Islamabad. PK
  • Rauf, A; University of AWAKUM. Department of Botany. Mardan. PK
  • Hadayat, N; University of Education. Division of Science and Technology. Lahore. PK
  • Gul, A; Hazara University. Department of Botany. Manshera. PK
  • Nawaz, G; Kohat University of Science and Technology. Department of Botany. Kohat. PK
  • Sakhi, S; University of Swat. Centre of Plant Biodiversity. Swat. PK
  • Iqbal, M; University of Okara. Department of Botany. Okara. PK
  • Khan, M. R; Quaid-i-Azam University. Faculty of Biological Sciences. Department of Biochemistry. Islamabad. PK
  • Shah, A. A; Jazan University. Medical Research Centre. Jazan. SA
  • Azam, N; University of Peshawar. Centre of Plant Biodiversity. Peshawar. PK
  • Iftikhar, H; Bacha Khan University. Department of Agriculture. Charsdda. PK
  • Shah, S. A; National University of Medical Sciences. Department of Biological Sciences. Rawalpindi. PK
  • Bahadur, S; Hainan University. College of Forestry. Haikou. CN
  • Hussain, F; Islamia college Peshawar. Department of Botany. Peshawar. PK
  • Shuaib, M; Yunnan University. School of Ecology and Environmental Science. Kunming. CN
Braz. j. biol ; 84: e255916, 2024. tab, graf, mapas
Article in English | LILACS, VETINDEX | ID: biblio-1364509
ABSTRACT
This study aims at reporting the indigenous knowledge of the medicinal flora from the inhabitants of surroundings of the World's largest artificial planted forest "Changa Manga", Pakistan. Data were collected by direct interviews and group meetings from 81 inhabitants including 32 local healers having information regarding the use of indigenous medicinal plants over a period of one year. Different statistical tools were applied to analyze the data including Frequency citation (FC), Relative frequency citation (RFC), Use Value, Factor of informants consensus and fidelity level. This study reported 73 plant species belonging to 37 plant families and 46 genera. The majority of plant species belong to compositae family. The most commonly used medicinal plants were P. hysterophorus L., P. dactylifera L., S. indicum L, P. harmala L., P. emblica L., and A. indica A.Juss. The greatest number of species was used to cure gastrointestinal disorders. The highest fidelity level (68.18%) was of E. helioscopia to cure gastrointestinal disorders. Maximum fresh uses (17) were reported by C. dactylon (L.) Pars. While the highest number of species reporting fresh uses in similar number was 13. In this study, five novel plants are being reported for the first time in Pakistan for their ethnomedicinal worth. Our data reflect unique usage of the medicinal plants in the study area. The statistical tools used in the study proved useful in pointing the most important and disease category specific plants. High use value plant and the new reported medicinal plants might prove an important source of the isolation of pharmacologically active compounds.
RESUMO
Este estudo tem como objetivo relatar o conhecimento indígena sobre a flora medicinal dos habitantes do entorno da maior floresta artificial plantada do mundo, a Changa Manga, no Paquistão. Os dados foram coletados por meio de entrevistas diretas e reuniões em grupo de 81 habitantes, incluindo 32 curandeiros locais, com informações sobre o uso de plantas medicinais indígenas durante o período de um ano. Diferentes ferramentas estatísticas foram aplicadas para analisar os dados, incluindo citação de frequência (FC), citação de frequência relativa (RFC), valor de uso, fator de consenso dos informantes e nível de fidelidade. Este estudo relatou 73 espécies de plantas pertencentes a 37 famílias de plantas e 46 gêneros. A maioria das espécies de plantas pertence à família Compositae. As plantas medicinais mais utilizadas foram P. hysterophorus L., P. dactylifera L., S. indicum L., P. harmala L., P. emblica L. e A. indica A. Juss. O maior número de espécies foi usado para curar distúrbios gastrointestinais. O maior nível de fidelidade (68,18%) foi de E. helioscopia para cura de distúrbios gastrointestinais. Os usos máximos em fresco (17) foram relatados por C. dactylon (L.) Pars. enquanto o maior número de espécies relatando usos frescos em número semelhante foi de 13. Neste estudo, cinco novas plantas estão sendo relatadas pela primeira vez no Paquistão por seu valor etnomedicinal. Nossos dados refletem o uso exclusivo das plantas medicinais na área de estudo. As ferramentas estatísticas utilizadas no estudo mostraram-se úteis para apontar as plantas mais importantes e específicas da categoria de doença. Plantas de alto valor de uso e as novas plantas medicinais relatadas podem ser uma importante fonte de isolamento de compostos farmacologicamente ativos.

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Full text: Available Index: LILACS (Americas) Main subject: Plants, Medicinal / Forests / Gastrointestinal Diseases / Indigenous Peoples / Medicine, Traditional Limits: Humans Country/Region as subject: Asia Language: English Journal: Braz. j. biol Year: 2024 Type: Article Institution/Affiliation country: Bacha Khan University/PK / COMSATS University/PK / Hainan University/CN / Hazara University/PK / Islamia college Peshawar/PK / Jazan University/SA / Kohat University of Science and Technology/PK / National University of Medical Sciences/PK / Quaid-i-Azam University/PK / University of AWAKUM/PK

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Full text: Available Index: LILACS (Americas) Main subject: Plants, Medicinal / Forests / Gastrointestinal Diseases / Indigenous Peoples / Medicine, Traditional Limits: Humans Country/Region as subject: Asia Language: English Journal: Braz. j. biol Year: 2024 Type: Article Institution/Affiliation country: Bacha Khan University/PK / COMSATS University/PK / Hainan University/CN / Hazara University/PK / Islamia college Peshawar/PK / Jazan University/SA / Kohat University of Science and Technology/PK / National University of Medical Sciences/PK / Quaid-i-Azam University/PK / University of AWAKUM/PK