Observational study finds 67% of polymodal users meet cannabis use disorder criteria — Evidence Review
Published in Addictive Behaviors, by researchers from NYU Langone Health, NYU Grossman School of Medicine, University of California, San Diego
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Table of Contents
A new large-scale study suggests that adults who use cannabis in multiple forms—such as smoking, vaping, eating edibles, and dabbing—are significantly more likely to consume it daily and meet the criteria for cannabis use disorder. Related research generally supports the association between frequent, varied cannabis use and higher risk of dependence, as well as the need for more nuanced public health messaging, according to findings summarized by the Cleveland Clinic.
- Multiple studies have found that the prevalence and risks of cannabis use disorder (CUD) are higher among users who consume cannabis frequently and through multiple modes, confirming that poly-modal use is a marker of heavier use and increased addiction risk 2 7 9.
- The new study's findings that younger adults are more likely to use multiple cannabis modes aligns with research showing that early initiation and frequent use during adolescence or young adulthood are associated with heightened CUD risk 2 3 10 11.
- Existing literature emphasizes that the frequency of use is a primary driver of CUD risk, but the combination of frequent and multi-modal use appears to further elevate the risks, supporting the new study's recommendation for more targeted clinical and public health approaches 5 6 7.
Study Overview and Key Findings
Cannabis consumption in the United States is evolving, with more adults using the drug in multiple forms rather than relying solely on traditional smoking. This shift raises questions about how different consumption patterns relate to health outcomes, including daily use and the development of cannabis use disorder. The recent study by researchers at NYU Langone Health is one of the first to analyze, on a national scale, how adults' choices between smoking, vaping, edibles, and dabbing cluster together and how these patterns correlate with risk of heavy use and addiction.
Below is a summary of the study’s key characteristics:
| Property | Value |
|---|---|
| Study Year | 2023 |
| Organization | NYU Langone Health, NYU Grossman School of Medicine, University of California, San Diego |
| Journal Name | Addictive Behaviors |
| Authors | Omar El-Shahawy, Mohsen Abbasi-Kangevari, Michelle He, Xiaoying Zheng, Joseph J. Palamar, Neal Doran |
| Population | Adults who used cannabis in the preceding month |
| Sample Size | n=17,732 |
| Methods | Observational Study |
| Outcome | Cannabis consumption patterns, daily use, cannabis use disorder |
| Results | 67% of polymodal users met criteria for cannabis use disorder |
Literature Review: Related Studies
To contextualize these findings, we searched the Consensus research database (covering over 200 million academic publications) for relevant studies. The following search queries were used:
- cannabis use disorder prevalence
- polymodal cannabis users addiction
- warning signs of cannabis addiction
Related Studies: Topic Summary Table
| Topic | Key Findings |
|---|---|
| How prevalent and severe is cannabis use disorder among users? | - CUD affects between 10% and 30% of cannabis users, with higher rates in frequent or dependent users 1 2 3 5. - Many individuals with CUD remain untreated, and the disorder is associated with significant comorbidity and disability 3 4 5. |
| Does using multiple forms or modes of cannabis increase risk? | - Poly-modal or multi-modal use is associated with higher frequency of use, greater dependence severity, and more cannabis-related harms 6 7 9. - Most regular cannabis users do not use a single mode exclusively, and multi-modal use is common 7 9. |
| What are the demographic and psychosocial correlates of heavy or poly-modal cannabis use? | - Younger adults, men, and individuals with lower academic achievement or comorbid mental health issues are more likely to engage in heavy or poly-modal use 3 10 11. - Poly-modal users also show higher rates of comorbid substance use and psychiatric symptoms 3 4 6 10. |
| What are the implications for prevention, education, and treatment? | - Public health messaging should address the variety of cannabis products and methods, not just smoking 5 7. - Current interventions, especially cognitive behavioral approaches, may help but abstinence is rare, and few people with CUD seek treatment 5 3 4. |
How prevalent and severe is cannabis use disorder among users?
The literature consistently finds that cannabis use disorder is a significant public health concern, with prevalence estimates ranging from around 10% to 30% among users, depending on frequency and demographic factors. The new study’s finding that 67% of polymodal users meet the criteria for CUD is higher than most previous estimates, but this likely reflects the high-risk nature of frequent, multi-modal users.
- Large US surveys show that the prevalence of marijuana use disorder among users has decreased slightly over time but remains substantial (about 30% in 2012–2013) 1.
- Meta-analyses estimate the global prevalence of CUD among users at about 22%, but this rises considerably among regular or heavy users 2.
- CUD is associated with psychiatric comorbidity, substantial disability, and is largely untreated 3 4.
- The new study’s focus on polymodal users identifies a subgroup at particularly high risk for CUD, expanding on previous work by highlighting how consumption patterns intersect with disorder prevalence.
Does using multiple forms or modes of cannabis increase risk?
Research indicates that individuals who use cannabis via multiple modes (e.g., smoking, vaping, edibles) are more likely to use the substance frequently and to experience negative outcomes such as dependence and related harms. The new national study confirms these patterns at a larger scale.
- Multi-modal cannabis use is common, especially among young adults and frequent users 7 9.
- Poly-modal users report more dependence symptoms, negative consequences, and are at increased risk for simultaneous use with other substances such as alcohol 6 7.
- While frequency of use remains the main predictor of risk, multi-modal use is an important indicator of high-risk patterns 7.
- The new study’s identification of the “polymodal group” and its elevated rates of daily use and CUD supports and extends existing evidence, suggesting that clinicians and public health professionals should screen for multi-modal use as a risk factor.
What are the demographic and psychosocial correlates of heavy or poly-modal cannabis use?
Demographic factors such as age, gender, and psychosocial characteristics like academic performance and mental health status are associated with both heavy and multi-modal cannabis use. The new study’s finding that young adults and women are more likely to use certain modes (e.g., edibles) aligns with broader research.
- Young adults (ages 18–25) are at highest risk for CUD and are more likely to use multiple forms of cannabis 3 10 11.
- Poly-modal users are more likely to have comorbid mental health issues, lower academic achievement, and additional substance use 3 4 6 10.
- Women are more likely to use edibles and less likely to engage in high-frequency use compared to men 11.
- The new study’s detailed analysis of demographic patterns offers a more nuanced understanding of at-risk groups, emphasizing the need for tailored prevention strategies.
What are the implications for prevention, education, and treatment?
Consistent with previous research, the new study suggests that public health messaging and clinical interventions should go beyond a focus on smoking to address the full spectrum of cannabis products and consumption methods. It also underscores gaps in treatment access and the need for improved education for both users and healthcare providers.
- Current public health messages often focus on smoking, but users are increasingly consuming cannabis through edibles, vaping, and dabbing 5 7.
- Cognitive behavioral therapy, motivational enhancement, and contingency management show some efficacy in reducing use and harms, but sustained abstinence is uncommon and treatment uptake is low 5 3 4.
- Screening for multi-modal use and associated risk factors may improve detection of high-risk individuals 7.
- The new study’s recommendations for more nuanced screening and messaging are well-aligned with these findings, reinforcing the need for a comprehensive approach to cannabis use prevention and intervention.
Future Research Questions
While recent research has advanced understanding of cannabis consumption patterns and risks, several important questions remain. Future studies are needed to clarify causal pathways, motivations for multi-modal use, and the effectiveness of targeted interventions.
| Research Question | Relevance |
|---|---|
| Does using multiple forms of cannabis directly increase the risk of cannabis use disorder? | Establishing causality would clarify whether multi-modal use is itself a risk factor, or merely a marker of heavier use or other underlying vulnerabilities 2 7. |
| What motivates individuals to choose specific cannabis consumption methods? | Understanding motivations can inform prevention and education strategies, especially if certain methods are linked to self-medication or social influences 9 11. |
| How do patterns of polymodal cannabis use change over time and across the lifespan? | Longitudinal research could reveal how and when users transition to or from multi-modal use, and how this relates to risk trajectories 1 9 10. |
| Are there effective interventions for reducing risk among polymodal cannabis users? | Targeted interventions may be necessary if polymodal users are at uniquely high risk or have different treatment needs compared to single-mode users 5 6 7. |
| What are the long-term health outcomes of daily and polymodal cannabis use? | There is limited data on the chronic physical and mental health effects of sustained, multi-modal cannabis use, especially in diverse populations 5 8. |
By synthesizing large-scale national data with emerging findings from the literature, this study highlights the need for nuanced, evidence-based approaches to cannabis use prevention and intervention—particularly for individuals who consume cannabis in multiple forms and at high frequencies. Ongoing research will be critical to understanding causality, user motivations, and the long-term health implications of evolving cannabis consumption patterns.