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Medicine in motion: Opportunities, challenges and data analytics-based solutions for traditional medicine integration into western medical practice
- Source :
- Journal of Ethnopharmacology
- Publication Year :
- 2020
- Publisher :
- The Author(s). Published by Elsevier B.V., 2020.
-
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.<br />Graphical abstract Schematic grouping of traditional medicine approaches. Schematic representation of out-grouping of formalized phytomedicines and phytopharmacopeias from other traditional medicine approaches and pseudoscientific approaches. The potential of each group of approaches to be evaluated and distributed across axes of the potential or actual scientific proof of efficacy, plausibility of mechanism of action, and the potential for placebo effect (likely related to perceived complexity).Image 1
- Subjects :
- Computer science
media_common.quotation_subject
Fidelity
Pain
Review
Healthcare economics
Motion (physics)
Field (computer science)
WHO, World Health Organization
CAM, Complementary and Alternative Medicine
03 medical and health sciences
0302 clinical medicine
Drug Discovery
Humans
Relevance (information retrieval)
Phytomedicine
Indigenous medicine
TRP, Transient Receptor Potential channel
030304 developmental biology
media_common
Pharmacology
0303 health sciences
Modalities
TCM, Traditional Chinese Medicine
Delivery of Health Care, Integrated
Data Science
Pseudoscience
ISCA, In silico convergence analysis
COVID-19
Traditional medicine
TM, Traditional Medicine
TTTM, Translated/Transformed Traditional Medicines
Data science
Action (philosophy)
030220 oncology & carcinogenesis
Data Interpretation, Statistical
Data analysis
TMS, Traditional Medical System
Medicine
Medicine, Traditional
Network pharmacology
Phytotherapy
Subjects
Details
- Language :
- English
- ISSN :
- 18727573 and 03788741
- Database :
- OpenAIRE
- Journal :
- Journal of Ethnopharmacology
- Accession number :
- edsair.doi.dedup.....db847fdfa2f67cd66e635a97f518af95