Guide
Building a research peptide stack
A research stack is a deliberate combination of peptides selected to investigate complementary mechanisms — never duplicate ones.
The two questions every stack must answer
- What distinct mechanism does each peptide bring? Two GLP-1 agonists in the same week is a duplicate-mechanism stack and is not co-investigated in research.
- How will you attribute observed effects? Stagger introductions by at least one half-life of the last peptide so any observed change can be attributed to a specific addition.
Worked example — healing stack
BPC-157 + TB-500 is one of the best-studied healing-class research combinations. BPC-157 acts on nitric-oxide and angiogenic pathways with a short half-life; TB-500 sequesters G-actin with a much longer half-life. Their mechanisms are complementary, not redundant. A typical research schedule administers BPC-157 daily and TB-500 twice weekly.
Worked example — GH-axis stack
The classic CJC-1295 + Ipamorelin pairing combines a GHRH analog (CJC) and a ghrelin-mimetic GHRP (Ipamorelin). They act on different receptors but converge on pulsatile GH release. Both are short-half-life and typically administered in the same pre-sleep window in research.
What to avoid
- Two GHRH analogs — receptor competition, no additive benefit.
- Two incretin agonists — combined gastric and metabolic effects exceed published research-stage protocols.
- Two melanocortin agents — overlapping pressor and nausea effects.
Use the interactive builder
The Stack Builder checks every pair you select against the documented interaction dataset and lays out a 7-day administration schedule.