LazysodLondon
GLP-1 Novice 🚫No Source Discussion🚫

Not sure if I missed it and apologies if so but this list of references would be easier to reference if linked to the point they are making. As is, it seems more a recommended reading list. Not that thats a bad thing and I have saved a few to look at later.buffoon24 said:Most people assume dose-response relationships are linear: take more, get more effect. This assumption drives everything from megadosing to escalating peptide protocols. But what if higher doses actually produce worse outcomes? I have been looking into this topic in depth lately and wanted to share some interesting tidbits. It might get a bit too technical and I apologize in advance for that (you can always ask chatGPT to simplify).
Mental model - The default mental model is straightforward: if 100 mcg of BPC-157 helps, 500 mcg helps more. If 1 mg of a growth hormone secretagogue produces some GH release, 3 mg produces three times as much. This linear thinking pervades peptide communities, leading to dose escalation when results stall and the assumption that aggressive protocols are simply "stronger."
But as you can imagine, the whole reason I am writing this is because non-linear dosing response is what is actually going on. Let me explain what I mean by non-linear dosing. It can manifest through three distinct patterns:
Saturation : Once receptors are fully occupied, additional drug provides zero additional benefit. You’ve maxed out the biological signal.
Diminishing Returns : Each additional dose increment provides progressively smaller benefits—the classic law of diminishing returns where doubling dose might only increase effect by 25%.
Reversal : This one was fascinating for me to find out. Beyond an optimal dose, effects actually decrease or reverse. Higher doses become less effective or even counterproductive.
Growth hormone releasing peptides (GHRP-6, GHRP-2, Ipamorelin) provide the clearest illustration of saturation dynamics:
Saturation dose for GHRP-6 : 100 mcg fully saturates ghrelin receptors on the hypothalamus and anterior pituitary
At 200 mcg : Only ~50% additional effect beyond saturation
At 300 mcg : Only ~25% additional effect beyond 200 mcg
Beyond 300 mcg : Increased side effects (elevated prolactin, cortisol) without proportional GH benefit
This non-linear curve means someone spending 3× as much on a 300 mcg dose is getting perhaps 75% more effect than someone at 100 mcg not 200% more.
Similar examples exist for diminishing returns (GLP-1) and even reversal.
This gets even more interesting and confusing when you incorporate individual demographics and genetics but that's for another day. This is not to scare or prove something here and probably many of you who are cycling know this already. I have been digging more and more into the dose response, half-life etc etc and will keep sharing whatever I find interesting. I believe there is plenty of room to optimize these things and we are likely shooting in the dark right now.
References -
1. Peptides and hormesis. (2003) PMID: 12809429
2. Two Endogenous Antiangiogenic Inhibitors, Endostatin and Angiostatin, Demonstrate Biphasic Curves in their Antitumor Profiles. (2011) PMID: 22013399
3. Therapeutic Efficacy of Endostatin Exhibits a Biphasic Dose-Response Curve. (2005) PMID: 16322254
4. Pharmacokinetic-pharmacodynamic modeling of ipamorelin in human volunteers. (1999) PMID: 10496658
5. Ipamorelin, the first selective growth hormone secretagogue. (1998) PMID: 9849822
6. Rapid Tachyphylaxis of the Glucagon-Like Peptide 1–Induced Deceleration of Gastric Emptying in Humans. (2011)
7. The Safety and Efficacy of Growth Hormone Secretagogues. (2017)
8. Tirzepatide Once Weekly for the Treatment of Obesity. NEJM
9. U-Shaped Dose Response. ScienceDirect Topics
10. Hormesis: U-shaped dose responses and their centrality in toxicology. (2001)
11. Biphasic dose responses in biology, toxicology and medicine. (2013)
12. A general classification of U-shaped dose-response relationships in toxicology and their mechanistic foundations. (1998)
13. Modeling Biphasic, Non-Sigmoidal Dose-Response Relationships. (2023)
14. Pharmacokinetics and pharmacokinetic–pharmacodynamic correlations of therapeutic peptides. (2013) PMID: 23719681
Again, if missed apologies!



