Background: This is the first ethnobotanical study focused on medicinal plants traditionally recommended by traditional healers (THs) of Eastern Morocco. In this work, we documented the medicinal plants recommended by THs and highlighted the value and importance of medicinal plants recommended by specialist healers. Methods: A quali-quantitative ethnobotanical method has been performed, snowball sampling and structured interviews were used to evaluate the traditional plant knowledge by traditional healers in the study area. Species identification was performed and verified from the African Plant Database and Plant List. Two Relative Cultural Importance indices were used for this analysis “Informant Consensus Factor (ICF) and Frequency of Citation (FC)”. Results: A total of 135 plants were inventoried in our surveys. These species belong to 64 families and were reported to be used to treat 23 different categories of ailments. The botanical profile of the plants listed is dominated by LAMIACEAE’s Family with 12 species, followed by FABACEAE (11 species) and ASTERACEAE (10 species). In the category of the digestive system, nutrition problems and nervous system problems seem to be the predominant diseases treated. The Informant Consensus Factor (ICF) results indicated that cancer and gastrointestinal disorders had a higher concordance among informants (ICF = 0.60 and 0.58 respectively). Conclusion: Our results, showed that the Traditional healers, in Eastern Morocco, hold impressive knowledge related to the use of medicinal plants. This observation is reflected in the high number of medicinal plants recommended for the medication of the population. Furthermore, the consistency of healers in this area of study is justified by the ICF values.
CITATION STYLE
Fakchich, J., Kharchoufa, L., Bencheikh, N., Zerkani, H., Ouassou, H., Bouhrim, M., … Elachouri, M. (2022). Assessment of Indigenous Plants Knowledge among Traditional Healers in Eastern Morocco: Quali-Quantitative Approach (Part I). Applied Sciences (Switzerland), 12(24). https://doi.org/10.3390/app122412773
Mendeley helps you to discover research relevant for your work.