Trending Peptides videos

Trending peptide therapy videos from TikTok and Instagram — BPC-157, CJC-1295, TB-500, and more. Every video gets a clinical review.

Every video on this page has been reviewed by our editorial team. We watch what creators are posting, pull out the medical claims, and check them against published clinical data. If a video gets something wrong, we say so. If it gets something right, we give credit and add context.

5,696 videos from TikTok and Instagram, sorted by view count. Use the filters below to narrow by platform or sort by date.

Browse Peptides fact-check videos

Peptide therapy TikTok claims: what the science actually supports

@elixio.co's peptide biohacking claims need context

Reelin protein, leaky gut, and depression: what the research actually says

@peptidiosrpbrasil's peptide calculator claims, fact-checked

MK-677 warnings on TikTok: what the science actually says

Dr. Yamamoto's MK-677 claims need serious fact-checking

Return-to-run readiness tests: what the evidence actually supports

IM vs. subcutaneous peptide injections: what the evidence actually says

Semax for studying: smart drug or sketchy peptide?

MOTS-c peptide claims: what week-one results actually mean

@jacoboestreichercoaching's peptide therapy claims checked

@nikkinikitaa_'s peptide therapy claims need more evidence

@organic_tarzan's biohacking trends review, fact-checked

Peptides for injury recovery: what the evidence actually shows

Oxymetazoline nasal spray 'addiction': what the science says

NAD+ for burnout and depression: what the science says

GHK-Cu and peptides for skin and hair: what TikTok gets wrong

@abcnewslive's peptide therapy claims, fact-checked

Peptides and student performance: what the science actually says

@antidotexashley's GHK-Cu peptide claims need context

Peptide therapy TikTok Q&A: separating hype from human data

MOTS-c peptide claims for energy and endurance: what the science says

BPC-157 and peptide therapy claims on TikTok: what holds up?

HGH Fragment 176-191 and MT2: separating hype from human data

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