Compounded glucagon-like peptide-1 receptor agonists for weight loss: the direct-to-consumer market in Colorado.

DiStefano, Michael J et al.·Journal of pharmaceutical policy and practice·2025·
RPEP-107382025RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Not classified
Evidence
Not graded
Sample
Not reported

What This Study Found

Key Numbers

How They Did This

Why This Research Matters

What This Study Doesn't Tell Us

Trust & Context

Original Title:
Compounded glucagon-like peptide-1 receptor agonists for weight loss: the direct-to-consumer market in Colorado.
Published In:
Journal of pharmaceutical policy and practice, 18(1), 2441220 (2025)
Database ID:
RPEP-10738

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
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Cite This Study

RPEP-10738·https://rethinkpeptides.com/research/RPEP-10738

APA

DiStefano, Michael J; Dardouri, Mouna; Moore, Gina D; Saseen, Joseph J; Nair, Kavita V. (2025). Compounded glucagon-like peptide-1 receptor agonists for weight loss: the direct-to-consumer market in Colorado.. Journal of pharmaceutical policy and practice, 18(1), 2441220. https://doi.org/10.1080/20523211.2024.2441220

MLA

DiStefano, Michael J, et al. "Compounded glucagon-like peptide-1 receptor agonists for weight loss: the direct-to-consumer market in Colorado.." Journal of pharmaceutical policy and practice, 2025. https://doi.org/10.1080/20523211.2024.2441220

RethinkPeptides

RethinkPeptides Research Database. "Compounded glucagon-like peptide-1 receptor agonists for wei..." RPEP-10738. Retrieved from https://rethinkpeptides.com/research/distefano-2025-compounded-glucagonlike-peptide1-receptor

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Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.