Escalating onto a rising curve
What the published pharmacokinetics permit, what the labels state, and where the two diverge.
TheCompound Journal
Reporting on incretins, compounding & the peptide supply chain
Dose practice
Where the curve flattens, what flattens with it, and what does not.
An additional problem attaches specifically to research-grade material. To escalate deliberately you must know your current dose, and knowing it requires that the vial contain what the label claims. Independent testing — Janoshik, Medutest, PeptideMeter and VendorInvestigate all publish in this space — repeatedly finds vials whose peptide content departs from the stated figure even when chromatographic purity is high. A person escalating in the belief that they are moving from 10 mg to 12.5 mg may be doing something quite different, and the arithmetic of a step is only as good as the number it starts from.
Dose reduction in this class carries a stigma that the pharmacology does not justify. Because the ceiling is set by tolerability and tolerability varies severalfold between people, the only way to find an individual ceiling is to move until it is reached and then move back. A reduction is the second half of that measurement.
There is a practical detail worth stating. Reduction takes effect on the same kinetics as escalation, which means the relief is not immediate: a person dropping from 15 mg to 10 mg is still carrying substantial exposure from the higher dose for a fortnight, and concluding after five days that the reduction has not helped is premature.
There is also an arithmetic trap for vial users. Halving a dose halves exposure at steady state, but the transition takes three to four weeks, and during that transition the person is at neither dose. Anybody adjusting downward to escape a symptom should expect the answer to arrive on a three-week timescale, not a three-day one.
The SURMOUNT-1 results are the clearest available illustration of a flattening curve. At seventy-two weeks the mean weight reductions were approximately fifteen per cent at 5 mg, nineteen and a half per cent at 10 mg and twenty-one per cent at 15 mg, against about three per cent on placebo.1 The step from 5 mg to 10 mg bought roughly four and a half percentage points; the step from 10 mg to 15 mg bought roughly one and a half.
Set against that, gastrointestinal adverse events and discontinuation for adverse events both rose across the dose range. The question of whether the top rung is worth climbing is therefore a genuine trade-off rather than a formality, and it will have different answers for different people.
The Journal has no view on where any individual should stop. We have a strong view on how the question should be framed: not as whether to reach the maximum, but as what the next increment is expected to add and what it is expected to cost. Framed that way, a decision to remain at an intermediate dose is a defensible reading of the dose-response data rather than a compromise.
The escalation table is not a finding. It is an administrative decision that survived into a label.
On how dose schedules are madeThere is no published sustained-dosing human data above the approved maxima for the current generation of incretin agonists. Higher doses were examined in earlier ranging work and in some cases in dedicated comparisons; the pattern was consistently more adverse events and modest incremental efficacy. The dedicated semaglutide dose-comparison study in type 2 diabetes, which compared 2.0 mg against 1.0 mg weekly, found a further HbA1c reduction of a few tenths of a percentage point with a broadly comparable safety profile — a real but small gain at a doubling of dose.2
That is the shape of the evidence at the top of the curve: real increments, shrinking fast. Extrapolating it upward past the studied range is not supported, and the Journal declines to speculate about doses for which no human exposure data exists.
We report that off-label escalation occurs because it does and because pretending otherwise makes coverage useless. We do not report it as a strategy, and readers should note that research-use-only material is not approved for human use in any jurisdiction and carries no assurance of identity, content, sterility or endotoxin limit.
| Programme | Molecule | Dose | Duration | Mean weight change |
|---|---|---|---|---|
| STEP 1 | Semaglutide | 2.4 mg weekly | 68 weeks | −14.9% |
| STEP 1 | Placebo | — | 68 weeks | −2.4% |
| STEP 5 | Semaglutide | 2.4 mg weekly | 104 weeks | −15.2% |
| SURMOUNT-1 | Tirzepatide | 5 mg weekly | 72 weeks | −15.0% |
| SURMOUNT-1 | Tirzepatide | 10 mg weekly | 72 weeks | −19.5% |
| SURMOUNT-1 | Tirzepatide | 15 mg weekly | 72 weeks | −20.9% |
| SURMOUNT-1 | Placebo | — | 72 weeks | −3.1% |
| Treatment-policy estimand where reported. Figures are means from the primary publications and are not comparable across programmes, which differed in population, duration and analysis. | ||||
Across the programmes the exposure-response relationship for weight is approximately log-linear over the lower and middle range and flattens above it, while the relationship for gastrointestinal adverse events is closer to linear in dose and does not flatten in the same range. That divergence is the ceiling.
In glycaemic endpoints the flattening is even more pronounced. HbA1c reduction in the tirzepatide diabetes programme differed by roughly a quarter of a percentage point between the 5 mg and 15 mg arms in the head-to-head against semaglutide, which is a small difference against a threefold dose range.3 For a person whose objective is glycaemic control rather than weight, the argument for the upper rungs is correspondingly weaker.
The general point is that the class has two dose-response curves running in parallel and only one of them flattens. Any discussion of escalation that quotes the efficacy curve without the tolerability curve is quoting half a graph, which is how the top of the ladder came to be treated as an obvious destination.
Everything above assumes the dose administered is the dose intended. For licensed pens that assumption is reasonable. For research-grade lyophilised powder it is an assumption that should be examined, because a titration schedule built on an unreliable starting figure propagates the error through every subsequent rung.
Two distinct quantities are involved. Chromatographic purity describes the proportion of peptide-related material that is the intended peptide. Peptide content describes what fraction of the vial mass is peptide at all, the remainder being counter-ions, residual solvent, water and excipient. A vial can be ninety-nine per cent pure and contain substantially less peptide than its label states, and content is the figure that determines a dose.
Of the four independent services this market relies on, all report purity and only some report content routinely. Janoshik, Medutest, PeptideMeter and VendorInvestigate have each published results in which nominal and measured strength diverged. The Journal has argued in Analytics that content should be reported as standard, and we repeat it here for a titration-specific reason: without it, the arithmetic of a step is being performed on a number nobody has measured.
First, the optimal escalation interval. No adequately powered randomised comparison of intervals at a fixed target dose exists for any molecule in this class.
Second, the optimal hold duration for a person who has not adapted at four weeks. Practice ranges from four to twelve weeks on no comparative evidence at all.
Third, the lowest maintenance dose that preserves a result. The withdrawal trials compared full dose with nothing.
Fourth, whether tolerability at one rung predicts tolerability at the next. Clinicians assume it does, plausibly, and the published dose-ranging data is not analysed in a way that answers the question.
Fifth, whether any measurable baseline characteristic predicts the ceiling. Nothing published does so usefully, which mirrors the situation for efficacy: mean behaviour in this class is well characterised and individual variation is not.4
The Journal lists these not as a complaint about researchers but as a map of where confident advice is currently outrunning its evidence. Anyone offering a precise answer to any of the five is offering an opinion, and should be read as doing so.
The Journal ends where the evidence does. Escalation intervals in this class rest on a kinetic argument that is sound and on a randomised comparison that does not exist. Dose holding rests on a documented adaptation and on clinical consensus. Maintenance rests on two withdrawal trials that answered a narrower question than the one readers ask. None of that makes the current practice wrong; it makes it provisional, and provisional practice deserves to be described as such rather than printed as a table.
Selected from correspondence received on this article. Writers are identified by initial, surname and city, verified before printing. Replies are from the desk that filed the piece or from the standards editor. Write to letters@compoundjournal.com.
Your piece treats the four-week step as arithmetic, and I accept the arithmetic, but my prescriber moved me up every two weeks and I reached the top dose without difficulty. I do not think the schedule is as constraining as you suggest.
— R. Cadogan, Bridgetown
Nor do we, and the file should have been clearer. The four-week interval is a floor below which the previous rung is still accumulating, not a threshold below which escalation is unsafe. Plenty of people tolerate faster ascent. Our objection is to the inverse inference — that because you did, everybody should — and to the absence of a trial that would let anyone say which is which in advance.
What the published pharmacokinetics permit, what the labels state, and where the two diverge.
The evidence base is thin and the document says so, which is to its credit.
The ceiling varies severalfold between people, and nothing measurable at baseline predicts where it sits.
The ceiling in this class is anatomical: the same receptor populations that suppress appetite provoke nausea, and they saturate together.
Three different explanations for the same abnormal number, and how to tell them apart.
Where the curve flattens, what flattens with it, and what does not.