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Published Databases Resources for Traditional, Complementary, and Integrative Medicine: Update of a Systematic

Christa K Raak¹, David D Martin¹, Katja Boehm¹

¹Institute of Integrative Medicine, Faculty of Health, Witten/Herdecke University, Witten, Germany.

Journal of Integrative and Complementary Medicine

|April 16, 2026

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This summary is machine-generated.

This review updates a 2010 systematic review on Traditional, Complementary, and Integrative Medicine (TCIM) databases. The number of TCIM databases has grown, particularly those focused on herbal therapies and Traditional Chinese Medicine.

Area of Science:

Integrative Medicine
Pharmacology
Bioinformatics

Background:

Traditional, Complementary, and Integrative Medicine (TCIM) is increasingly integrated into academic and public health strategies.
Online databases are crucial for accessing evidence-based TCIM information.
This study updates a 2010 systematic review of TCIM databases.

Purpose of the Study:

To identify and analyze databases related to TCIM published between 2010 and November 2024.
To provide an updated overview of the TCIM database landscape.

Main Methods:

Searched CINAHL, CAMbase, Web of Science, MEDLINE/PubMed, and Google Scholar for TCIM databases.
Reviewed 127 articles, identifying 37 new databases and including 16 previously identified ones.

Keywords:

bibliographical data complementary medicine databases evidence-based medicine integrative medicine

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Extracted data on origin, content, and scope of each database.

Main Results:

Identified 37 new TCIM databases, totaling 53 with previously available ones.
The majority of databases focus on herbal therapies (15) and Traditional Chinese Medicine (11).
New databases offer extensive resources on medicinal plants, including phytochemical and molecular data.

Conclusions:

The TCIM database landscape has evolved significantly over the past 15 years.
There is a notable increase in databases dedicated to medicinal plants and herbal therapies.
Advances in plant genomics and molecular biology likely drive the rise of specialized herbal databases.