SR-17018 vs Other Kappa-Opioid Agonists

How SR-17018's biased agonist profile compares to traditional KOR agonists and to classical mu-opioid analgesics like morphine. A reference for researchers selecting tool compounds.

Choosing the right kappa-opioid receptor (KOR) agonist for a study depends on the mechanistic question being asked. Traditional KOR agonists like U-50,488 and salvinorin A produce robust analgesia but trigger β-arrestin signaling that drives dysphoria, sedation, and rapid tolerance. SR-17018 was designed to dissociate these effects via functional selectivity, preferentially activating G-protein cascades while sparing β-arrestin recruitment.

The table below summarizes the most experimentally-relevant differences. Cells marked with a check indicate "yes" or "favorable", an X indicates "no" or "absent", and a dash indicates partial or context-dependent effects.

PropertySR-17018U-50,488Salvinorin ANalfurafineMorphine (MOR)
Signaling biasG-protein biased (>100×)BalancedArrestin-biasedG-protein biasedBalanced
Receptor selectivityHighly KOR-selectiveKOR-selectiveHighly KOR-selectiveKOR-selectiveMOR-selective
Produces analgesia
Causes dysphoria
Causes sedation
Tolerance developmentMinimalHighRapidLowHigh
Abuse liability

Why SR-17018 stands out

SR-17018 is currently the most-studied G-protein-biased KOR agonist with a quantified bias factor exceeding 100-fold. In preclinical models, it preserves the analgesic and anti-pruritic efficacy characteristic of KOR activation while avoiding the arrestin-mediated side effects (dysphoria, sedation, tolerance) that historically blocked KOR therapeutics from clinical translation.

Read the deep-dive on biased agonism →

When to choose SR-17018

  • • Tolerance and chronic-dosing studies
  • • Models requiring KOR analgesia without sedation
  • • Stress, addiction, and reward-circuit research
  • • Comparator studies against U-50,488 or salvinorin A
Order SR-17018 for your protocol →

Verify the science

All claims on this comparison page are sourced from peer-reviewed literature. See our research library for full citations to Brust et al. (2016), Zamarripa et al. (2020), Huskinson et al. (2022), and other primary sources.