60
Views
0
CrossRef citations to date
0
Altmetric
Review

Emerging pharmacotherapy for the treatment of cannabis use disorder

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Received 16 Feb 2024, Accepted 07 May 2024, Published online: 15 May 2024
 

ABSTRACT

Introduction

About one-fifth of cannabis users, the most commonly used illicit substance, have cannabis use disorder (CUD). Psychiatric disorders and suicide are more common in these patients, and the disability-adjusted life years were reported to be 0.69 million. Pharmacotherapy for CUD is an unmet public health need, as current evidence-based therapies have limited efficacy.

Areas covered

After explaining the pathophysiology of CUD, the effects of emerging pharmacological interventions in its treatment obtained from randomized controlled trials were reviewed in light of mechanisms of action. Superiority over control of cannabidiol, gabapentin, galantamine, nabilone plus zolpidem, nabiximols, naltrexone, PF-04457845, quetiapine, varenicline, and topiramate were observed through the cannabinoid, glutamatergic, γ-aminobutyric acidergic, serotonergic, noradrenergic, dopaminergic, opioidergic, and cholinergic systems. All medications were reported to be safe and tolerable.

Expert opinion

Adding pharmacotherapy to psychotherapy is the optimal treatment for CUD on a case-by-case basis. Drug development to add to psychotherapy is the main path, but time and cost suggest repurposing and repositioning existing drugs. Considering sample size, follow-up, and effect size, further studies using objective tools are necessary. The future of CUD treatment is promising.

Article highlights

  • The increasing prevalence, comorbidities, and burden of cannabis use disorder necessitate novel therapeutic approaches considering current treatment limitations.

  • Drug development as add-ons to psychotherapy is the main path, but time and cost suggest a shortcut called repurposing and repositioning drugs.

  • Ten pharmacological interventions based on clinical trials were presented by explaining the pathophysiology of the disorder.

  • Tetrahydrocannabinol targets endocannabinoid, glutamatergic, γ-aminobutyric acidergic, serotonergic, noradrenergic, dopaminergic, opioidergic, and cholinergic systems.

  • Drugs affecting the cholinergic system may improve cognitive dysfunction, treatment of which was proposed for cannabis addiction.

Declaration of interest

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Author contributions

A Shamabadi: Conceptualization, Project administration, Supervision, Data curation, Writing – original draft, Visualization, Writing – review and editing; R.A Bahri: Data curation, Writing – original draft; H Karimi.: Data curation, Writing – original draft, Visualization; E Heidari: Writing – original draft; and S Akhondzadeh: Conceptualization, Project administration, Supervision, Data curation. All authors approved the final version of the manuscript and had accountability for all work aspects.

Acknowledgments

The figure was created using BioRender.com with a publication license.

Reviewer disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Additional information

Funding

This paper was not funded.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 884.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.