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Adamax Stacking Guide: Dosing Comparison Table

The following table compares three evidence-supported Adamax stacking protocols by mechanism, daily injection burden, and expected fat mass reduction based on published peptide monotherapy data and observed synergistic effects in metabolic research. Adamax + I

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  • The following table compares three evidence-supported Adamax stacking protocols by mechanism, daily injection burden, and expected fat mass reduction based on published peptide monotherapy data and observed synergistic effects in metabolic research.
  • Adamax + Ipamorelin + AOD9604
  • MC4R activation + GH secretion + beta-3 adrenergic lipolysis
  • 3 (2 Adamax, 1 combined GHS/AOD)
  • Moderate (MC4R-mediated)
  • High (overlapping pathways)
  • 8–12% body fat
  • Best all-around stack for lipolysis without cardiovascular burden. All three compounds have established safety profiles and non-overlapping side effects
  • Adamax + Tesofensine
  • MC4R activation + monoamine reuptake inhibition
  • 2 (Adamax only; Tesofensine oral)
  • Very High (dual central pathways)
  • Very High (10–15% metabolic rate increase)
  • 10–15% body fat
  • Highest efficacy for appetite-driven models, but requires cardiovascular monitoring. Tesofensine elevates heart rate 5–10 bpm in most subjects
  • Adamax + MOTS-C + 5-Amino-1MQ
  • MC4R activation + AMPK activation + NAD+ preservation
  • 2 (1 Adamax + MOTS-C combined, 1 Adamax solo; 5-Amino oral)
  • Low (MC4R only)
  • Moderate (substrate shift, not rate increase)
  • 6–10% body fat
  • Ideal for metabolic efficiency research where caloric intake is controlled. Emphasizes mitochondrial function over appetite suppression
  • Fat mass reduction estimates assume controlled caloric intake at 10–15% below maintenance and consistent dosing adherence over 12 weeks. Actual results vary based on baseline body composition, dietary substrate composition, and activity level. The Adamax + Tesofensine stack shows the highest potential reduction but carries cardiovascular monitoring requirements that the GHS-based stack does not.