Evidence map›Paper›PMID 33679390›Full record

ArticleFrontiers in pharmacology2020

Ethnobotanical Survey of Natural Galactagogues Prescribed in Traditional Chinese Medicine Pharmacies in Taiwan.

Jung Chao, Chien-Yu Ko, Chin-Yu Lin, Maeda Tomoji, Chia-Hung Huang, Hung-Che Chiang, Jeng-Jer Yang, Shyh-Shyun Huang, Shan-Yu Su

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. DietaryVeterinary sciences · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Editorial: Herbal medicines in women's lives.Frontiers in pharmacology · 2022
    Article
  6. Ethnobotanical Survey on Bitter Tea in Taiwan.Frontiers in pharmacology · 2022
    Article
  7. Article
  8. Article
  9. 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

9 authors.

Jung ChaoDepartment of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, Chinese Medicine Research Center, China Medical University, Taichung, Taiwan.
Chien-Yu KoSchool of Pharmacy, China Medical University, Taichung, Taiwan.
Chin-Yu LinInstitute of New Drug Development, China Medical University, Taichung, Taiwan.
Maeda TomojiDepartment of Pharmaceutical Sciences, Nihon Pharmaceutical University, Saitama, Japan.
Chia-Hung HuangDepartment of Pharmacy, Kinmen Hospital, Kinmen, Taiwan.
Hung-Che ChiangCollege of Medicine, China Medical University, Taichung, Taiwan.
Jeng-Jer YangDepartment of Pharmacy, Chia Nan University of Pharmacy and Science, Tainan, Taiwan.
Shyh-Shyun HuangSchool of Pharmacy, China Medical University, Taichung, Taiwan.
Shan-Yu SuDepartment of Chinese Medicine, China Medical University Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural medicinal materials have been used to promote breast milk secretion. Here, we investigated the natural medicinal materials prescribed in traditional Chinese medicine (TCM) pharmacies across Taiwan to induce lactation. We collected medicinal materials from 87 TCM pharmacies, identified them in the prescriptions, and analyzed their drug contents. We examined their botanical origins, biological classifications, traditional usage, and modern pharmacological properties. We used the TCM Inheritance Support System to identify core medicinal materials in galactogenous prescriptions. We collected 81 medicinal materials from 90 galactogenous prescriptions.

Indexed as

breastfeedingethnobotanicalgalactagoguesTaiwantraditional Chinese medicine pharmacy

Identifiers

PMID33679390
PMCPMC7928277

What OpenQuestion holds

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Registered trials

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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.