Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 191

The DOI matches its Crossref record.

Good practice in reviewing and publishing studies on herbal medicine, with special emphasis on traditional Chinese medicine and Chinese materia medica

Open access
Chan, Kelvin, Shaw, Debbie, Simmonds, Monique S.J., Leon, Christine J., Xu, Qihe, Lu, Aiping, Sutherland, Ian, Ignatova, Svetlana, Zhu, You-Ping, Verpoorte, Rob, Williamson, Elizabeth M., Duez, Pierre·2012·Journal of Ethnopharmacology

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: Studies on traditional Chinese medicine (TCM), like those of other systems of traditional medicine (TM), are very variable in their quality, content and focus, resulting in issues around their acceptability to the global scientific community. In an attempt to address these issues, an European Union funded FP7 consortium, composed of both Chinese and European scientists and named "Good practice in traditional Chinese medicine" (GP-TCM), has devised a series of guidelines and technical notes to facilitate good practice in collecting, assessing and publishing TCM literature as well as highlighting the scope of information that should be in future publications on TMs. This paper summarises these guidelines, together with what has been learned through GP-TCM collaborations, focusing on some common problems and proposing solutions. The recommendations also provide a template for the evaluation of other types of traditional medicine such as Ayurveda, Kampo and Unani. MATERIALS AND METHODS: GP-TCM provided a means by which experts in different areas relating to TCM were able to collaborate in forming a literature review good practice panel which operated through e-mail exchanges, teleconferences and focused discussions at annual meetings. The panel involved coordinators and representatives of each GP-TCM work package (WP) with the latter managing the testing and refining of such guidelines within the context of their respective WPs and providing feedback. RESULTS: A Good Practice Handbook for Scientific Publications on TCM was drafted during the three years of the consortium, showing the value of such networks. A "deliverable - central questions - labour division" model had been established to guide the literature evaluation studies of each WP. The model investigated various scoring systems and their ability to provide consistent and reliable semi-quantitative assessments of the literature, notably in respect of the botanical ingredients involved and the scientific quality of the work described. This resulted in the compilation of (i) a robust scoring system and (ii) a set of minimum standards for publishing in the herbal medicines field, based on an analysis of the main problems identified in published TCM literature. CONCLUSION: Good quality, peer-reviewed literature is crucial in maintaining the integrity and the reputation of the herbal scientific community and promoting good research in TCM. These guidelines provide a clear starting point for this important endeavour. They also provide a platform for adaptation, as appropriate, to other systems of traditional medicine.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jep.2012.01.038

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 191

Metadata

Authors
Chan, K., Shaw, D., Simmonds, M. S. J., Leon, C. J., Xu, Q., Lu, A., Sutherland, I., Ignatova, S., Zhu, Y.-P., Verpoorte, R., Williamson, E. M., & Duez, P.
Venue
Journal of Ethnopharmacology
Publisher
Elsevier BV
Published
2012-04
Volume
140
Issue
3
Pages
469-475
ISSN
0378-8741 (ISSN-L)
OpenAlex
W2026582167
Cited by
191
References
0
FWCI
15.92
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Good practice in reviewing and publishing studies on herbal medicine, with special emphasis on traditional Chinese medicine and Chinese materia medica. https://app.cochat.ai/papers/10.1016/j.jep.2012.01.038
The paper
Chan, K., Shaw, D., Simmonds, M. S. J., Leon, C. J., Xu, Q., Lu, A., Sutherland, I., Ignatova, S., Zhu, Y.-P., Verpoorte, R., Williamson, E. M., & Duez, P. (2012). Good practice in reviewing and publishing studies on herbal medicine, with special emphasis on traditional Chinese medicine and Chinese materia medica. Journal of Ethnopharmacology. https://doi.org/10.1016/j.jep.2012.01.038

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.