ABSTRACT
In precolonial Africa, women were the major authorities in herbal remedies within their own homes and at the community level, where they focused on disease prevention and cure. Such roles were pushed to the periphery of Africa's health discourse by the introduction of Western modes of healing. Furthermore, missionaries branded African indigenous medicine (AIM) as evil and categorised it within the sphere of witchcraft. However, the emergence of new diseases which conventional medicine has found difficult to cure seems to have caused Africans to rethink their position on AIM. For example, there appears to have been a resurgence of interest in utilising AIMs during the coronavirus disease 2019 (COVID-19) pandemic. Greater utilisation, while positive, may lead to herbs and plants becoming extinct if the harvesting is done haphazardly. Therefore, the intention of this article is to examine the intersections of gender and health in the COVID-19 context. The article seeks to establish the role that was and continues to be played by women in the utilisation of AIM within the context of COVID-19. The focus of the paper is on finding out the ways in which women are safeguarding plants and trees whose leaves, roots and barks are envisioned as effective in preventing infection as well as curing the disease. Data were gathered through informal interviews. Theoretically, the article makes use of gender and Afrocentricity as theories informing the study. Contribution: The article highlights the need for placing women at the centre of both health and environmental discourses for sustainable development. It argues for the recentring of women in Earth discourses. Hence, its contribution is in retrieving women's voices in health and Earth discourses in Zimbabwe for sustainable development to be achieved.
ABSTRACT
ETHNOPHARMACOLOGICAL RELEVANCE: Traditional pharmacopeias have been developed by multiple cultures and evaluated for efficacy and safety through both historical/empirical iteration and more recently through controlled studies using Western scientific paradigms and an increasing emphasis on data science methodologies for network pharmacology. Traditional medicines represent likely sources of relatively inexpensive drugs for symptomatic management as well as potential libraries of new therapeutic approaches. Leveraging this potential requires hard evidence for efficacy that separates science from pseudoscience. MATERIALS AND METHODS: We performed a review of non-Western medical systems and developed case studies that illustrate the epistemological and practical translative barriers that hamper their transition to integration with Western approaches. We developed a new data analytics approach, in silico convergence analysis, to deconvolve modes of action, and potentially predict desirable components of TM-derived formulations based on computational consensus analysis across cultures and medical systems. RESULTS: Abstraction, simplification and altered dose and delivery modalities were identified as factors that influence actual and perceived efficacy once a medicine is moved from a non-Western to Western setting. Case studies on these factors highlighted issues with translation between non-Western and Western epistemologies, including those where epistemological and medicinal systems drive markets that can be epicenters for zoonoses such as the novel Coronavirus. The proposed novel data science approach demonstrated the ability to identify and predict desirable medicinal components for a test indication, pain. CONCLUSIONS: Relegation of traditional therapies to the relatively unregulated nutraceutical industry may lead healthcare providers and patients to underestimate the therapeutic potential of these medicines. We suggest three areas of emphasis for this field: First, vertical integration and embedding of traditional medicines into healthcare systems would subject them to appropriate regulation and evidence-based practice, as viable integrative implementation mode. Second, we offer a new Bradford-Hill-like framework for setting research priorities and evaluating efficacy, with the goal of rescuing potentially valuable therapies from the nutraceutical market and discrediting those that are pseudoscience. Third, data analytics pipelines offer new capacity to generate new types of TMS-inspired medicines that are rationally-designed based on integrated knowledge across cultures, and also provide an evaluative framework against which to test claims of fidelity and efficacy to TMS made for nutraceuticals.