ReviewProceedings (Baylor University. Medical Center)2024
Complementary and alternative supplements: a review of dermatologic effectiveness for androgenetic alopecia.
Review in Proceedings (Baylor University. Medical Center), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Comparative Effect of Conventional and Non-Conventional Over-the-Counter Treatments for Male Androgenetic Alopecia: A Systematic Review and Network Meta-Analysis.International journal of molecular sciences · 2025Pooled it
- Effects of dietary supplements on androgenetic alopecia: a systematic review and network meta-analysis.Frontiers in nutrition · 2025Pooled it
- Exploring the mechanism of stigmasterol against androgenetic alopecia using geometry optimization, network pharmacology, molecular docking, and molecular dynamics studies.Scientific reports · 2026Article
- Hair greying associated with rosemary use: a cross-sectional study in Saudi Arabia.Dermatology reports · 2026Article
- Online Survey on Perceptions and Practices of Hair Oiling Among Diverse Demographics in the Southern States of India.Indian dermatology online journal · 2026Article
- The Hormonal Background of Hair Loss in Non-Scarring Alopecias.Biomedicines · 2024Review
- An Overview of Commonly Used Natural Alternatives for the Treatment of Androgenetic Alopecia, with Special Emphasis on Rosemary Oil.Clinical, cosmetic and investigational dermatology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Androgenetic alopecia (AGA) is a dermatologic condition with no current cure. Treatments such as minoxidil have been proven to be effective; however, the side effects can be unpleasant. As a result, the utilization of natural remedies for treatment has increased over the years. There is limited scientific evidence that addresses the efficacy of these supplements in combating AGA. Methods: A review was conducted of the effectiveness of popular complementary and alternative medicines (CAMs) in adult patients experiencing AGA. A literature search was performed for the period of 1993 to 2023 using PubMed, Embase, Google Scholar, Web of Science, and Cochrane. Results: Natural ingredients like pumpkin seed oil, saw palmetto, melatonin extract, caffeine extract, and rosemary oil were effective in treating AGA either when compared to baseline or a definite AGA Western medication, such as minoxidil. These natural agents also presented minimal side effects. Conclusion: Certain CAMs can be promising for hair loss treatment. There is a need for more scientific research to better explore the efficacy of currently identified CAMs in treating AGA.
Indexed as
Identifiers
What OpenQuestion holds
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.