ReviewJournal of nephropathology2017
Traditional uses of medicinal plants to prevent and treat diabetes; an updated review of ethnobotanical studies in Iran.
Review in Journal of nephropathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medicinal Plants with Multiple Effects on Diabetes Mellitus and Its Complications: a Systematic Review.Current diabetes reports · 2018Pooled it
- Article
- The prevalence of herbal medicine use and related factors among diabetic patients in Tabriz, Iran, 2023: a cross-sectional study.Journal of diabetes and metabolic disorders · 2025Article
- Article
- Economic burden of diabetic foot ulcer: a case of Iran.BMC health services research · 2024Article
- Review
- The effect of cinnamon supplementation on glycemic control in patients with type 2 diabetes or with polycystic ovary syndrome: an umbrella meta-analysis on interventional meta-analyses.Diabetology & metabolic syndrome · 2023Review
- Investigation of the Chemical Composition, Antihyperglycemic and Antilipidemic Effects ofMolecules (Basel, Switzerland) · 2022Article
- A Study on the Safety and Effects ofCurrent issues in molecular biology · 2022Article
- A review of the effects ofIranian journal of basic medical sciences · 2022Review
- Novel Perceptions on Chemical Profile and Biopharmaceutical Properties ofPlants (Basel, Switzerland) · 2022Article
- Bioprospecting the Metabolome of PlantEvidence-based complementary and alternative medicine : eCAM · 2022Article
- Review
- Middle East Medicinal Plants in the Treatment of Diabetes: A Review.Molecules (Basel, Switzerland) · 2021Review
- The Influence ofBiomolecules · 2020Article
- Antidiabetic Potential of Medicinal Plants and Their Active Components.Biomolecules · 2019Review
- An ethnobotanical study of medicinal plants used to treat skin diseases in northern Pakistan.BMC complementary and alternative medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObesity and physical inactivity are currently on the rise due to industrialization of the communities, which has recently led to increased incidence of different diseases such as diabetes. Epidemiological studies and figures have demonstrated the growing incidence of diabetes. Relevantly, the side effects of chemical drugs have led patients to use medicinal plants and traditional approaches despite advances in development of chemical drugs. The aim of this review article is to report the medicinal plants and their traditional uses to prevent and treat diabetes according to the findings of ethnobotanical studies conducted in different regions of Iran. EVIDENCE ACQUISITIONS: The search terms including ethnobotany, ethnomedicine, ethnopharmacology, phytopharmacology, phytomedicine, Iran, and traditional medicine in combination with diabetes, blood sugar and hyperglycemic were searched from scientific databases.
resultsThe results of this article can be a comprehensive guideline, based on ethnobotany of different regions of Iran, to prevent and treat diabetes. According to this review article, certain plant species such as Urtica dioica L., popularly called nettle, in eight regions, Teucrium polium L., popularly called poleigamander, in five regions, and Trigonella foenum-graecum L., Citrullus colocynthis (L.), Schrad., and Juglans regia L. in four regions, were reported to be frequently used to prevent and treat diabetes.
conclusionsThe introduced medicinal plants in this review can be investigated in further research and produce new drugs with limited side effects.
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Registered trials
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.