Evidence map›Paper›PMID 41180269›Full record

ArticleBulletin of the World Health Organization2025

Use of traditional medicine for hypertension, diabetes and hypercholesterolaemia measured in 71 surveys.

Mubarak Ayodeji Sulola, Abla M Sibai, Albertino Damasceno, Alpamys Issanov, Antonio Sarria-Santamera, Binur Orazumbekova, Bolormaa Norov, Brice Bicaba, Corine Houehanou, David Guwatudde and 24 more

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

34 authors.

Mubarak Ayodeji SulolaDepartment of Economics and Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany.
Abla M SibaiEpidemiology and Population Health Department, American University of Beirut, Beirut, Lebanon.
Albertino DamascenoFaculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique.
Alpamys IssanovSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.
Antonio Sarria-SantameraDepartment of Biomedical Sciences, Nazarbayev University, Astana, Kazakhstan.
Binur OrazumbekovaWolfson Institute of Population Health, Queen Mary University of London, London, England.
Bolormaa NorovNational Center for Public Health, Ulaanbaatar, Mongolia.
Brice BicabaInstitut National de Santé Publique, Ouagadougou, Burkina Faso.
Corine HouehanouNational School of Public Health, University of Parakou, Parakou, Benin.
David GuwatuddeDepartment of Epidemiology and Biostatistics, Makerere University, Kampala, Uganda.
Gibson B KagarukiNational Institute for Medical Research, Dar es Salaam, United Republic of Tanzania.
Gladwell GathechaDivision of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya.
Jutta A JorgensenDepartment of Public Health, Copenhagen University, Copenhagen, Denmark.
Kibachio Joseph MwangiDivision of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya.
Kokou AgoudaviTogo Ministry of Health, Lomé, Togo.
Lela SturuaNon-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia.
Mary T MayigeNational Institute for Medical Research, Dar es Salaam, United Republic of Tanzania.
Mongal GurungHealth Research and Epidemiology Unit, Ministry of Health, Thimphu, Bhutan.
Nahla HwallaFaculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon.
Nuno LunetDepartment of Public Health and Forensic Sciences, and Medical Education, Faculty of Medicine, University of Porto, Porto, Portugal.
Omar MwalimMinistry of Health, Zanzibar City, United Republic of Tanzania.
Roy Wong McClureOffice of Epidemiology and Surveillance, Costa Rican Social Security Fund, San José, Costa Rica.
Sarah Quesnel-CrooksCaribbean Public Health Agency, Port of Spain, Trinidad and Tobago.
Silver BahendekaDepartment of Internal Medicine, Uganda Martyrs University, Kampala, Uganda.
Rifat AtunDepartment of Global Health and Population, Harvard University, Boston, United States of America (USA).
Till BärnighausenHeidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
Justine DaviesDepartment of Applied Health Research, University of Birmingham, Birmingham, England.
David FloodDepartment of Medicine, University of Michigan, Ann Arbor, USA.
Pascal GeldsetzerDivision of Primary Care and Population Health, Stanford University, Stanford, USA.
Lindsay JaacksDepartment of Economics and Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany.
Jennifer Manne-GoehlerDepartment of Economics and Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany.
Michaela TheilmannDepartment of Economics and Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany.
Sebastian VollmerDepartment of Economics and Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany.
Maja E MarcusDepartment of Economics and Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the pattern of traditional medicine use globally for treating hypertension, diabetes and hypercholesterolaemia. Methods: We pooled individual-level data from 309 745 non-pregnant people aged ≥ 15 years from 71 nationally representative surveys conducted in low- and middle-income countries between 2005 and 2021. We identified individuals with diagnosed hypertension, diabetes and hypercholesterolaemia who reported use of traditional medicine. For each condition, we estimated the prevalence of traditional medicine use at the global, regional and country-income level and the proportion using traditional medicine and biomedicine. We estimated the association between traditional medicine use and individual characteristics. Findings: The prevalence of traditional medicine use was 14.7% (95% confidence interval, CI: 12.7-16.9) for diabetes, 12.4% (95% CI: 10.0-15.3) for hypercholesterolaemia and 8.1% (95% CI: 7.3-9.0) for hypertension. Most individuals using traditional medicine for diabetes or hypercholesterolaemia also used biomedicine. Associations between sociodemographic characteristics and traditional medicine use varied between regions and health conditions. In the World Health Organization's (WHO) Western Pacific Region, traditional medicine use for diabetes was significantly higher in males and younger adults, whereas use for hypertension was significantly higher in females and older adults. In the WHO African Region, traditional medicine use for diabetes and hypertension was higher in males and individuals with lower education. Conclusion: Our study shows a high prevalence of traditional medicine use for treating hypertension, diabetes and hypercholesterolaemia in low- and middle-income countries. Our results highlight the need to better understand the clinical interactions and risks of traditional medicine for improved cardiometabolic treatment.

Indexed as

Diabetes MellitusHypercholesterolemiaHypertensionMedicine, TraditionalAdolescentAdultAgedFemaleGlobal HealthHumansMaleMiddle AgedYoung Adult

Identifiers

PMID41180269
PMCPMC12578521

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.