Fenugreek for Breastfeeding / Lactation
Fenugreek is a popular galactagogue, but the human evidence is weak and inconsistent, and it does not reliably increase breast milk supply. Any benefit appears small and short-lived at best, while regulators and lactation experts decline to endorse it.
Why this grade7-layer evidence engine
The trial data are genuinely mixed, which is why this earns only a weak (C) grade. A network meta-analysis (PMID 29193352, n=122) did find a statistically significant increase in milk volume (about 11 mL, WMD 11.11), but the authors stressed that fenugreek was clearly inferior to other galactagogues such as palm date and Coleus. The most rigorous review, a Cochrane-style systematic review of 41 trials (PMID 32421208, n=3005), rated the evidence as very low certainty and could not even pool the milk-volume data because heterogeneity was extreme (I-squared 99%).
Critically, the apparent benefits tend to vanish when fenugreek is tested on its own. The seemingly impressive 49-103% jump in milk came from a combination capsule of fenugreek, ginger and turmeric (PMID 30411974, n=50), so the herb's individual effect cannot be isolated. When fenugreek alone was compared head-to-head, it produced no significant improvement in breastfeeding success (PMID 35783511, n=75), and a 2025 preterm-mother trial (PMID 41239794, n=68) saw a milk bump on day 7 that disappeared by day 15, with no change in prolactin.
Authorities reinforce this cautious read. The US FDA classifies fenugreek only as a flavoring agent or adjuvant and has approved no lactation health claim, and the WHO monograph lists galactagogue use solely as traditional, 'not yet proven by clinical data.' NIH's Office of Dietary Supplements and Cleveland Clinic are cautious, and the relevant professional society stance is against routine use, so fenugreek is published here with a warning rather than recommended.
Scoring transparency
All scores computed by a 7-layer evidence engine — fully auditable▸View the full decision path (audit trail)
- compute_raw_score — 加權公式: L2×0.30 + L3×0.25 + L5×0.25 + L11×0.10 + L1×0.10 = 0.41
- tier_from_score — 依分數區間映射至 tier letter
- apply_hec_rules — 高品質 SR/MA 顯示 positive (2 篇 > 0 negative)
- tier_strict_requirement_check — Tier 條件達標，未降階
- detect_disputes — 偵測到 0 個 hard + 0 個 soft dispute
- decide_status — 依 tier + dispute 結果決定 status