Abstract
Background: The tribal inhabitants of the Skardu valley (Pakistan) live in an area of great endemic botanic diversity. This paper presents the first quantitative ethnomedicinal spectrum of the valley and information on the uses of medicinal plant. This paper aims to analyze and catalogue such knowledge based on Relative Frequency Citation (RFC) and Use Value (UV) of medicinal plants in addition to the configuration of the Pearson correlation coefficient.
Methods: The field study was carried out over a period of approximately 2 years (2011-2013) using semi-structured interviews with 71 informants (most of the informants belonged to an age between 50 and 70 years) in six remote locations in the valley. Ethnomedicinal data was analyzed using frequency citation (FC), relative frequency of citation (RFC) and use value (UV) along with a Pearson correlation coefficient (PCC). Demographic characteristics of participants, ethnobotanical inventory of plants and data on medicinal application and administration were recorded.
Results: A total of 50 medicinal plants belonging to 25 families were reported to be used against 33 different ailments in the valley. The maximum reported medicinal plant families were Asteraceae (7 report species), Lamiaceae (6), Polygonaceae (4) and Rosaceae (4), the most dominant life form of the species includes herbs (38) followed by shrubs and subshrubs (12), the most frequent used part was leaves (41%) followed by root (26%), flower (14%), fruit (9%), seeds (8%), bulb (1%) and bark (1%), the most common preparation and administration methods were infusion (32%), decoction (26%), paste (18%), herbal juice (17%) and powder drug (7%). The Pearson correlation coefficient between RFC and UV was 0.732 showing highly positive significant association.
Conclusions: In this study, we have documented considerable indigenous knowledge about the native medicinal plants in Skardu valley for treating common ailments which are ready to be further investigated phytochemically and pharmacologically which leads to natural drug discovery development. The study has various socioeconomic dimensions which are associated with the local communities.