Supplement Evidence Report

We catalogued 816 peer-reviewed studies across 557 compounds and 200+ herbs. Here's what the evidence actually looks like when you grade every study on the same scale.

Evidence Distribution

Evidence by Category

CategoryStrongest EvidenceWeakest EvidenceKey Gap
AdaptogensAshwagandha (stress)Most adaptogensOnly ashwagandha has replicated RCTs
CognitiveCaffeine, creatineLion's Mane, BacopaPlausible mechanisms, few large trials
MetabolicBerberine (glucose)Most fat burnersBerberine is the standout
SleepMelatonin, magnesiumValerian, passionflowerHerbal sleep aids are thin
MoodSt. John's WortSaffron, NACSt. John's Wort is well-studied; alternatives need data
ImmuneVitamin D, zincElderberry, echinaceaMicronutrients > botanicals
PerformanceCreatine, caffeineCordyceps, ashwagandhaSports supplements strongest overall

What This Means

01

Most supplements are under-studied

60% have limited, preliminary, or traditional-use evidence only. This doesn't mean they don't work — it means we don't know.

02

The strong-evidence list is short

Only ~15% of supplements have strong clinical evidence. Start with those if you want certainty.

03

Quality matters as much as evidence

A supplement with Grade A evidence is useless if the product in the bottle doesn't match the product in the study. Verify quality independently.

This data is updated annually. Full methodology at /info/methodology. Read the full report: State of Supplement Evidence 2026

Learning context

How this concept connects to supplement decisions

Evidence distribution and grading summary across The Hippie Scientist supplement and herb research library. Learning pages explain the reasoning layer behind the herb and compound library. They are designed to make mechanisms, evidence quality, safety tradeoffs, and product claims easier to interpret.

Use Supplement Evidence Report to build better questions before choosing a supplement: what outcome is being targeted, what mechanism is claimed, what human evidence exists, what dose was studied, and what risks could change the answer for a specific person?

Mechanistic plausibility is useful, but it should be weighed against trial design, safety history, product quality, and the possibility that a simpler intervention may be more appropriate.