Saffron for Depression
Multiple randomized trials and meta-analyses suggest standardized saffron extract (around 30 mg/day) can meaningfully reduce symptoms of mild-to-moderate depression, with some studies finding it comparable to fluoxetine. However, the evidence is early-stage and geographically narrow, no regulator endorses these claims, and saffron should not replace prescribed antidepressants or psychiatric care.
Why this grade7-layer evidence engine
The grade reflects a real but limited clinical signal. Several meta-analyses report a large reduction in depressive symptoms versus placebo: PMID 31135916 (23 RCTs, n=1,869) found SMD -0.99, PMID 29849461 (13 RCTs, n=908) found WMD -6.05 points, and the 2025 network meta-analysis PMID 38913392 (n=4,129) ranked saffron among the top three options at SMD -1.23. Double-blind RCTs PMID 31602695 and the add-on trial PMID 31475623 echo this. Notably, head-to-head data (PMID 32392485, n=367) found saffron statistically non-inferior to fluoxetine with fewer side effects, especially sexual dysfunction.
It stays at a preliminary tier, not higher, because of serious limitations. Roughly 80% of trials come from a single country (Iran), most are small (n=40-80) and short (6-8 weeks), heterogeneity is very high (I-squared about 87%), and PMID 29849461 showed publication-bias signals that likely inflate the pooled effect. All data are in mild-to-moderate depression; severe, treatment-resistant, and bipolar depression remain untested.
Regulators and clinics reinforce caution. The EFSA concluded 'a cause and effect relationship has not been established,' and the US FDA recognizes saffron only as a food color and flavoring, not a treatment. Mayo Clinic calls the research 'limited' and Cleveland Clinic frames it as a possible future option pending more data. Saffron is contraindicated in pregnancy and may interact with SSRIs, so it is not a substitute for professional depression care.
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 = 0.678
- tier_from_score — 依分數區間映射至 tier letter
- apply_hec_rules — 高品質 SR/MA 顯示 positive (3 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