# Incretin-Based Therapies: A Novel Pathway in Addiction Treatment

**Authors:** Rosiejka Dawid, Michałowska Joanna, Marcickiewicz Justyna, Adela Bogdańska, Wiktoria Błażejewska, Monika Szulińska

PMC · DOI: 10.3390/jcm15041613 · 2026-02-19

## TL;DR

This paper explores how incretin-based therapies, originally used for diabetes and obesity, might also help treat addiction by affecting brain reward systems.

## Contribution

The paper introduces the novel idea that incretin-based therapies could be repurposed for treating various substance use disorders.

## Key findings

- Preclinical studies show that incretin-based therapies reduce substance intake and relapse-like behaviors.
- Early human studies suggest potential benefits in reducing substance use severity and overdose risk.
- More research is needed to confirm clinical effectiveness and safety for addiction treatment.

## Abstract

Addiction poses a major global public health challenge. It is characterized by high prevalence, chronic relapse and limited efficacy of available pharmacotherapies across different substance use disorders. Increasing evidence demonstrates that incretin-based therapies directly modulate metabolic signaling pathways that intercross with central reward and motivational circuits, including hypothalamic-mesolimbic networks and dopaminergic neurotransmission. As a result, agents such as glucagon-like peptide 1 receptor agonists, originally developed for the treatment of type 2 diabetes and obesity, are now being actively investigated for their role in addiction treatment. This narrative review summarizes the current knowledge on the role of incretin-based therapies in the neurobiology of addiction. Evidence from preclinical models and human studies supports the potential therapeutic effect of glucagon-like peptide 1 receptor agonists in the treatment of alcohol use disorder, nicotine dependence, and the administration of other psychoactive substances, including psychostimulants, opioids, and cannabinoids. Preclinical studies consistently demonstrate that glucagon-like peptide 1 receptor agonists reduce substance intake, attenuate reward-related behaviors, and suppress relapse-like responding. So far, human evidence remains limited and is largely derived from observational studies. Preliminary research suggests potential reductions in substance use severity and overdose risk among individuals treated with incretin-based agents. While these findings highlight incretin signaling as a promising therapeutic option in addiction, the current evidence is insufficient to support their routine clinical use in the treatment of substance dependence. Therefore, further research is required to clarify underlying mechanisms and establish clinical efficacy. In particular, well-designed randomized controlled trials are needed to determine safety, tolerance and effectiveness of incretin-based therapies across different substance use disorders.

## Linked entities

- **Diseases:** nicotine dependence (MONDO:0008575), obesity (MONDO:0011122), type 2 diabetes (MONDO:0005148)

## Full-text entities

- **Genes:** Glp1r (glucagon-like peptide 1 receptor) [NCBI Gene 25051] {aka Glip, RATGL1RCP}, Dpp4 (dipeptidylpeptidase 4) [NCBI Gene 25253] {aka CD26, DPPIV}, ADIPOQ (adiponectin, C1Q and collagen domain containing) [NCBI Gene 9370] {aka ACDC, ACRP30, ADIPQTL1, ADPN, APM-1, APM1}, Gip (gastric inhibitory polypeptide) [NCBI Gene 25040] {aka Gludins, RATGLUDINS}, GIP (gastric inhibitory polypeptide) [NCBI Gene 2695], Gcg (glucagon) [NCBI Gene 14526] {aka GLP-1, Glu, PPG}, DRD1 (dopamine receptor D1) [NCBI Gene 1812] {aka D1R, DADR, DRD1A}, GLP1R (glucagon like peptide 1 receptor) [NCBI Gene 2740] {aka GLP-1, GLP-1-R, GLP-1R}, Gcg (glucagon) [NCBI Gene 24952] {aka GLP-1, Glp1, Glp2}, GCG (glucagon) [NCBI Gene 2641] {aka GLP-1, GLP1, GLP2, GRPP}, TLR4 (toll like receptor 4) [NCBI Gene 7099] {aka ARMD10, CD284, TLR-4, TOLL}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, Ghrl (ghrelin and obestatin prepropeptide) [NCBI Gene 59301], Glp1r (glucagon-like peptide 1 receptor) [NCBI Gene 14652] {aka GLP-1R, GLP1Rc}, HCRT (hypocretin neuropeptide precursor) [NCBI Gene 3060] {aka NRCLP1, OX, PPOX}, CNR1 (cannabinoid receptor 1) [NCBI Gene 1268] {aka CANN6, CB-R, CB1, CB1A, CB1K5, CB1R}, HCRTR1 (hypocretin receptor 1) [NCBI Gene 3061] {aka ORXR1, OX1R, OXR1}, DPP4 (dipeptidyl peptidase 4) [NCBI Gene 1803] {aka ADABP, ADCP2, CD26, DPPIV, TP103}, GCGR (glucagon receptor) [NCBI Gene 2642] {aka GGR, GL-R, MVAH}, SLC6A3 (solute carrier family 6 member 3) [NCBI Gene 6531] {aka DAT, DAT1, PKDYS, PKDYS1}, Mcpt10 (mast cell protease 10) [NCBI Gene 54269] {aka GLP II, GLP-2, rMCP-10, rMCP-X}, DRD2 (dopamine receptor D2) [NCBI Gene 1813] {aka D2DR, D2R}, Slc6a3 (solute carrier family 6 member 3) [NCBI Gene 24898] {aka Dat1}
- **Diseases:** opioid use disorder (MESH:D009293), metabolic dysfunction (MESH:D008659), obese (MESH:D009765), nausea (MESH:D009325), weight gain (MESH:D015430), stroke (MESH:D020521), heroin addiction (MESH:D006556), overweight (MESH:D050177), hyperphagia (MESH:D006963), Cancer (MESH:D009369), diabetes (MESH:D003920), psychiatric disorders (MESH:D001523), addiction (MESH:D019966), anxiety (MESH:D001007), CUD (MESH:D002189), neuroinflammation (MESH:D000090862), prediabetic (MESH:D011236), CPP (MESH:D000073397), craving (MESH:C564883), platelet aggregation (MESH:D001791), inflammation (MESH:D007249), liver disease (MESH:D008107), drinking (MESH:D063425), neurodegenerative diseases (MESH:D019636), nicotine dependence (MESH:D014029), injuries (MESH:D014947), AUD (MESH:D000437), respiratory, liver disease (MESH:D012140), alcohol-related (MESH:D019973), infectious diseases (MESH:D003141), overdose (MESH:D062787), depression (MESH:D003866), alcohol-associated liver disease (MESH:D008108), T2D (MESH:D003924), alcohol intoxication (MESH:D000435), CVD (MESH:D002318), hypoglycemia (MESH:D007003), cocaine use disorder (MESH:D019970), mental health disorders (OMIM:603663), albuminuria (MESH:D000419), opioid overdose (MESH:D000083682), withdrawal symptoms (MESH:D013375), atherosclerotic (MESH:D050197), tremors (MESH:D014202), death (MESH:D003643), brain disorder (MESH:D001927)
- **Chemicals:** amphetamine (MESH:D000661), acamprosate (MESH:D000077443), OEA (MESH:C488250), norepinephrine (MESH:D009638), GABA (MESH:D005680), cAMP (MESH:D000242), nalmefene (MESH:C038981), remifentanil (MESH:D000077208), varenicline (MESH:D000068580), arachidonic acid (MESH:D016718), fentanyl (MESH:D005283), EX-4 (MESH:D000077270), sitagliptin (MESH:D000068900), DA (MESH:C025953), Delta9-tetrahydrocannabinol (MESH:D013759), bupropion (MESH:D016642), triglycerides (MESH:D014280), NaCl (MESH:D012965), lixisenatide (MESH:C479460), 2-OG (MESH:C505247), Alcohol (MESH:D000438), topiramate (MESH:D000077236), morphine (MESH:D009020), dopamine (MESH:D004298), buprenorphine (MESH:D002047), calcium (MESH:D002118), Cannabinoids (MESH:D002186), glucose (MESH:D005947), RAs (MESH:D011883), Endocannabinoid (MESH:D063388), lipids (MESH:D008055), Cocaine (MESH:D003042), fatty-acid (MESH:D005227), Nicotine (MESH:D009538), naltrexone (MESH:D009271), methamphetamine (MESH:D008694), disulfiram (MESH:D004221), heroin (MESH:D003932), Ex-4 (-), caffeine (MESH:D002110), methadone (MESH:D008691), oxycodone (MESH:D010098)
- **Species:** Human immunodeficiency virus 1 (no rank) [taxon 11676], Nicotiana tabacum (American tobacco, species) [taxon 4097], Mus musculus (house mouse, species) [taxon 10090], Rattus norvegicus (brown rat, species) [taxon 10116], Chlorocebus aethiops (African green monkey, species) [taxon 9534], Homo sapiens (human, species) [taxon 9606], Heloderma suspectum (Gila monster, species) [taxon 8554], Human immunodeficiency virus (species) [taxon 12721]

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12941627/full.md

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Source: https://tomesphere.com/paper/PMC12941627