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Peptide half-life, explained

Half-life is the number that decides how often something is injected, how long it takes to settle, and how long it lingers after you stop. Here is what it does tell you, and the three things people assume it tells them that it does not.

Educational reference, not medical advice

Half-life is the time it takes for the amount of a compound in your body to fall by half. That is the whole definition, and almost everything people find confusing about dosing schedules follows from it mechanically.

Two numbers do most of the work. A compound with a half-life of seven days, injected weekly, still has half of each dose in you when the next one arrives, so the amount accumulates for a while before it levels off. A compound with a half-life of a few minutes is gone before you have put the cap back on, which is why those are dosed differently or not injected at all.

Steady state, and the five half-life rule

When you dose repeatedly, the amount in you climbs until what you clear between doses equals what you put in. That plateau is steady state, and the useful approximation is that it takes about five half-lives to get there, whatever the compound.

Half-lifeRoughly steady afterWhat that feels like
13 h (liraglutide)~3 daysA new daily dose settles within the week
120 h (tirzepatide)~25 daysThe fourth week at a dose is not the first week
165 h (semaglutide)~5 weeksA dose step is judged a month later, not a week later
190 h (testosterone cypionate)~6 weeksBloodwork before six weeks measures the climb, not the plateau
Published population averages, as carried in the Peptain catalog.

The same arithmetic runs backwards. Stopping a compound with a seven-day half-life does not clear it in a week; it takes roughly five of them for what is left to become negligible. This is why "I stopped a fortnight ago" and "it is out of my system" are not the same statement, and why washout periods in trial protocols look so long.

Peak, trough and why both matter

Between injections the amount in you rises to a peak and falls to a trough just before the next dose. The distance between those two is set by how the dosing interval compares to the half-life. Dose more often than the half-life and the curve is nearly flat; dose much less often and it is a sawtooth.

That gap explains a lot of lived experience. On weekly semaglutide the swing is small and side effects tend to cluster around the days after an injection rather than the trough. On a shorter-lived compound injected weekly (testosterone propionate, at around 36 hours, is the classic example) the swing is large, and people notice the end of the week.

The three things half-life does not tell you

  1. How strong the effect is. Half-life is about persistence, not potency. Two compounds with the same half-life can differ by orders of magnitude in what a milligram does.
  2. How long the effect lasts. Some effects outlive the molecule by a long way. Anything that acts by changing what a cell does, rather than by occupying a receptor while present, can persist after the compound has cleared. The reverse also happens.
  3. What is in you right now. Half-life is a population average from published studies. Your absorption, body composition, kidney and liver function, and the injection site all move the real figure, and none of that is in the number.

What a PK curve is actually good for

A pharmacokinetic estimate, the curve Peptain draws on the logs screen, takes the doses you have recorded, the half-life of each compound and its time to peak, and plots the shape that follows. It is arithmetic on your own log. What it answers well:

  • Whether you are still climbing towards steady state or already there.
  • How deep the trough gets before the next dose is due.
  • What a missed dose actually costs, and how long it takes to recover.
  • How two compounds in a stack overlap in time, which is otherwise very hard to picture.

Used that way, as a shape rather than a reading, it is one of the few tools that makes a protocol legible to the person on it. Used as a substitute for a test, it is worse than nothing, because it is confident.

Compounds mentioned

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