Using Indigenous and traditional medicine knowledge in research and development for drug discovery: hypothetical case vignettes

Background Indigenous Knowledge (IK) and Traditional Knowledge (TK) have long contributed to global health through the sustainable use of medicinal plants. Yet, their integration into pharmaceutical research and development (R&D) often occurs without adequate recognition, protection or benefit sharing for the knowledge holders. This paper explores how IK and TK are used in early-stage drug discovery and reflects on the ethical, scientific and regulatory implications of their application. Methods We developed two hypothetical case vignettes to illustrate common research scenarios involving the use of IK and TK: one based on non-codified, orally transmitted knowledge shared directly by an Indigenous community; and the other based on codified historical medicinal knowledge sourced from historical botanical texts, where provenance may be unclear or obscured. These vignettes were developed using Both-Ways Collaborative Yarning and reflexive thematic analysis, informed by existing literature and expert validation. Results The vignettes highlight the strengths and limitations of current research models, particularly regarding knowledge provenance, methodological validity, community participation and benefit sharing. The non-codified case demonstrated the importance of community-led processes and contextualised preparation methods, whereas the codified case raised questions around the ethical use of archived knowledge with uncertain origins, including issues of provenance, accountability and potential misappropriation. Both cases demonstrated the efficiency and value of IK and TK in narrowing down viable drug candidates compared to conventional random screening methods. Conclusion The findings underscore the need for more inclusive and culturally safe R&D frameworks that centre Indigenous sovereignty, implement free, prior and informed consent (FPIC), integrate holistic approaches to knowledge and include culturally aligned R&D methods. By adopting a two-ways knowing approach, researchers and institutions can more ethically and effectively partner with Indigenous people and communities to advance drug discovery while respecting the integrity of their knowledge systems.

Institutions

Publication Details

Journal
Australian Journal of Chemistry
Published
2026-05-19
DOI
https://doi.org/10.1071/ch25197
Primary Topic
Ethnobotanical and Medicinal Plants Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Indigenous and traditional medicine knowledge in research and development for drug discovery: hypothetical case vignettes

Australian Journal of Chemistry
Ethnobotanical and Medicinal Plants Studies
article

Using Indigenous and traditional medicine knowledge in research and development for drug discovery: hypothetical case vignettes

article en

Abstract

Background Indigenous Knowledge (IK) and Traditional Knowledge (TK) have long contributed to global health through the sustainable use of medicinal plants. Yet, their integration into pharmaceutical research and development (R&D) often occurs without adequate recognition, protection or benefit sharing for the knowledge holders. This paper explores how IK and TK are used in early-stage drug discovery and reflects on the ethical, scientific and regulatory implications of their application. Methods We developed two hypothetical case vignettes to illustrate common research scenarios involving the use of IK and TK: one based on non-codified, orally transmitted knowledge shared directly by an Indigenous community; and the other based on codified historical medicinal knowledge sourced from historical botanical texts, where provenance may be unclear or obscured. These vignettes were developed using Both-Ways Collaborative Yarning and reflexive thematic analysis, informed by existing literature and expert validation. Results The vignettes highlight the strengths and limitations of current research models, particularly regarding knowledge provenance, methodological validity, community participation and benefit sharing. The non-codified case demonstrated the importance of community-led processes and contextualised preparation methods, whereas the codified case raised questions around the ethical use of archived knowledge with uncertain origins, including issues of provenance, accountability and potential misappropriation. Both cases demonstrated the efficiency and value of IK and TK in narrowing down viable drug candidates compared to conventional random screening methods. Conclusion The findings underscore the need for more inclusive and culturally safe R&D frameworks that centre Indigenous sovereignty, implement free, prior and informed consent (FPIC), integrate holistic approaches to knowledge and include culturally aligned R&D methods. By adopting a two-ways knowing approach, researchers and institutions can more ethically and effectively partner with Indigenous people and communities to advance drug discovery while respecting the integrity of their knowledge systems.

Australian Journal of ChemistryVol. 79(5)
Commonwealth Scientific and Industrial Research Organisation (AU), University of Tasmania (AU), Waikato Institute of Technology (NZ), Australian Nuclear Science and Technology Organisation (AU), Australian Regenerative Medicine Institute (AU), Tharawal Aboriginal (AU), Primary HealthCare (MT), Tasmanian Land Conservancy (AU), Australian e-Health Research Centre (AU), CSIRO Manufacturing (AU), University of Waikato (NZ), Southern Cross University (AU)
Openalex Percentile: Top 6%
Ethnobotanical and Medicinal Plants Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.