# NEET Youth Show Higher Tobacco and Cannabis Use in Large Systematic Review > **Author:** Benjamin Caplan, MD (ABFM Board Certified, MA Lic. #240562, NPI: 1962722637) > **Publisher:** CED Clinic (https://cedclinic.com) > **Canonical URL:** https://cedclinic.com/ced-neet-youth-show-higher-tobacco-and-2026-10-07/ > **Published:** 2026-10-07T12:53:30-04:00 | **Last Modified / Clinically Audited:** 2026-10-07T12:53:30-04:00 > **Clinical Summary:** medical cannabis research: Physician review of Tobacco and cannabis use in the young 'Not in Employment, Education or Training' population: A systematic revi... --- CED Clinical Relevance #88 Verified Clinical Evidence Primary literature analysis of Tobacco and cannabis use in the young 'Not in Employment, Education or Training' population: A systematic review and meta-analysis.. Clinical Insight | CED Clinic This study does not show that NEET status causes tobacco or cannabis use, but it strongly suggests that social disconnection and substance exposure cluster in a clinically important way. The cannabis signal is particularly notable because NEET youth had higher current cannabis use than both students and employed peers, unlike tobacco, where the excess was mainly seen versus students. Clinically, that means intake should include education, employment, housing stability, mental health symptoms, tobacco co-use, and cannabis use patterns. Prevention should not rely on scare messaging alone. It should pair harm reduction, motivational interviewing, nicotine support, cannabis use disorder screening, and practical social support. Clinical SciencePeer-ReviewedDosing ContextSafety SignalsPhysician Insight AudiencePatients, clinicians, healthcare providers, researchers, and policy analysts. Primary TopicClinical study review: NEET Youth Show Higher Tobacco and Cannabis Use in. Source[Read the full source](https://pubmed.ncbi.nlm.nih.gov/42225563/) Table of Contents - [NEET Youth Show Higher Tobacco and Cannabis Use in Large Systematic Review](#NEET_Youth_Show_Higher_Tobacco_and_Cannabis_Use_in_Large_Systematic_Review)[How to Interpret This Clinical Study](#How_to_Interpret_This_Clinical_Study)[Three Rules for Critical Reading](#Three_Rules_for_Critical_Reading) - [CED Perspective Lens: Eight Clinical Viewpoints](#CED_Perspective_Lens_Eight_Clinical_Viewpoints)[Clinical Evidence Synthesis](#Clinical_Evidence_Synthesis) - [Patient Communication](#Patient_Communication) - [Dosing & Formulations](#Dosing_Formulations) - [Safety & Side Effect Profile](#Safety_Side_Effect_Profile) - [Regulatory & Policy Dynamics](#Regulatory_Policy_Dynamics) - [Mechanisms & Physiology](#Mechanisms_Physiology) - [Research Limitations](#Research_Limitations) - [Future Outlook](#Future_Outlook) - [Frequently Asked Questions](#Frequently_Asked_Questions)[Related](#Related) # NEET Youth Show Higher Tobacco and Cannabis Use in Large Systematic Review A 25 study meta-analysis found that young people not in employment, education, or training had nearly doubled odds of tobacco use and more than doubled odds of current cannabis use. What This Study Teaches Us This systematic review and meta-analysis included 25 observational studies with 91,085 young people aged 15 to 29 and found higher odds of tobacco use in NEET youth, OR 1.92, 95% CI 1.46 to 2.53, and current cannabis use, OR 2.14, 95% CI 1.68 to 2.71. Current smoking was higher versus students, OR 3.05, but not significantly higher versus young workers, OR 1.10, while current cannabis use was higher versus both students and workers. Why This Matters The findings matter because NEET status may identify a youth subgroup needing earlier screening, lower stigma counseling, and substance use support that is integrated with employment, education, mental health, and social services. For cannabis clinicians, it reinforces the importance of distinguishing recreational high-risk use from supervised medical use and asking about social context, not just frequency. Study SnapshotPost TypePhysician-Guided Clinical Science Deep DivePrimary SourceAddiction (Abingdon, England)Publication Date2026OctEvidence LevelJournal Article, Systematic Review, Meta-AnalysisFocus AreaNEET Youth Show Higher Tobacco and Cannabis Use in Large SysLead AuthorsClara Eyraud, Claire Collin, Philippe Martin, Corinne Alberti et al.DOI10.1111/add.70477PMIDPMID: 42225563 Clinical Bottom Line This study review translates complex data into practical clinical insights, maintaining realistic therapeutic expectations. Headline vs. Reality Truth Meter | Clinical Analysis **Mainstream Media Claim:** Young people outside work or school are heavy cannabis users, and cannabis may be a main reason they are disconnected. **Primary Journal Data:** The meta-analysis found an association, not causation. Across 25 observational studies and 91,085 participants, NEET status was associated with higher odds of tobacco use, OR 1.92, and current cannabis use, OR 2.14. Cannabis use was higher versus both students and workers, while smoking was higher versus students but not significantly different from workers. **Dr. Caplan’s Clinical Verdict:** The data support targeted screening and prevention for NEET youth, but they do not justify blaming cannabis for unemployment, school disengagement, or social vulnerability. The clinical response should be integrated, practical, and non-stigmatizing. Primary Analysis | Tobacco and cannabis use in the young ‘N **Study Overview:** NEET (Not in Employment, Education or Training) youth represent a vulnerable population from a public health perspective, facing multiple health challenges, including elevated substance use. Tobacco and cannabis are the most commonly used psychoactive substances among young people, with early initiation associated with long-term health and social consequences. While evidence suggests associations between NEET status and substance use, data remain limited regarding patterns of use and potential variations across different NEET profiles. This study aimed to characterise tobacco and cannabis use within the NEET population, taking into account the diversity of profiles, and to compare it with that of the general population, including employed youth and students, in order to inform targeted prevention strategies. A systematic review and meta-analysis included observational studies examining tobacco and cannabis use among NEET youth aged 15-29 years. A search was conducted for observational studies available on PubMed, PsycINFO, Cairn and Web of Science databases and published between 1999 and 2025. Analyses studied the variations in use among NEET profiles and compared NEET against employed youth, student and general population controls. Random-effects models generated pooled crude odds ratios. Sensitivity and subgroup analyses were conducted based on study quality, gender and type of comparison population. Twenty-five studies were included and analysed, including a total of 91 085 individuals. A statistically significant association between NEET status and both tobacco use [odds ratio (OR) = 1.92, 95% confidence interval (CI) = 1.46-2.53] and current cannabis use (OR = 2.14, 95% CI = 1.68-2.71) was found. Current smoking was statistically significantly more prevalent among NEET than among students (OR = 3.05, 95% CI = 2.31-4.03), but not statistically significantly different compared with young workers (OR = 1.10, 95% CI = 0.91-1.34). NEET demonstrated statistically significantly higher cannabis use compared with both students (OR = 1.81, 95% CI = 1.34-2.44) and workers (OR = 1.67, 95% CI = 1.21-2.31). A higher prevalence of cannabis use disorder among young people with NEET status (31.93%) was observed compared with their non-NEET peers (12.12%), but no statistically significant association was found. Youth Not in Employment, Education or Training (NEET) appear to show higher tobacco and cannabis use compared with their peers. Given these findings, targeted prevention strategies addressing substance use in NEET populations are essential to reduce social health inequities. **Primary Source & Scope:** Published in *Addiction (Abingdon, England)* (2026Oct) conducted by Clara Eyraud, Claire Collin, Philippe Martin, Corinne Alberti et al.. [Primary Source Link](https://pubmed.ncbi.nlm.nih.gov/42225563/) | **Primary Record:** DOI: 10.1111/add.70477 | PMID: 42225563 How Strong Is This Evidence? The study is strengthened by its systematic review design, 25 included observational studies, 91,085 participants, random-effects meta-analysis, and subgroup analyses by comparator type, gender, and study quality. The statistically significant pooled estimates for tobacco use and current cannabis use are clinically meaningful and reasonably consistent with the broader literature on social vulnerability and substance use. However, the use of crude odds ratios limits causal interpretation and adjustment for confounding. Where This Paper Deserves Skepticism The major limitation is that NEET status is not a single clinical phenotype, and the included studies likely differed in how they measured cannabis use, tobacco use, current use, and disorder. Unmeasured confounders such as poverty, trauma, psychiatric illness, housing instability, family context, and local policy environments could partly or substantially explain the observed associations. Publication bias and cross-sectional designs may also inflate the apparent strength of the relationship. What This Paper Does Not Show This study does not prove that cannabis use causes unemployment, school withdrawal, training absence, or reduced motivation among young people. It also does not establish medical cannabis dosing guidance, cannabis product safety, or regulatory conclusions about legalization. How This Fits With the Broader Clinical Conversation Youth substance use research increasingly shows that risk is socially patterned. Tobacco and cannabis exposure are not distributed randomly across the population, and young people facing disconnection from school, work, or training often face overlapping barriers in mental health, housing, family stability, and access to care. The finding that cannabis use was higher among NEET youth than both students and workers fits a wider concern about frequent high-THC use in vulnerable young adults. At the same time, the evidence should not be flattened into a moral narrative. Substance use can be a coping strategy in difficult circumstances, not simply a cause of those circumstances. Clinically, the most helpful response is integrated care. Cannabis screening should sit beside nicotine treatment, mood and anxiety assessment, sleep evaluation, trauma-informed care, and practical support for re-engagement in education or work. Editorial Commentary *From a clinical perspective, Tobacco and cannabis use in the young ‘Not in Employment, Education or Training’ population: A systematic review and meta-analysis. underscores the necessity of evaluating primary data rather than commercial headlines.* *Clinicians discussing these findings should ground patient recommendations in individualized care, verified formulation standards, and monitored therapeutic outcomes.* What a Careful Reader Should Take Away NEET status should prompt clinicians and public health programs to screen for cannabis and tobacco use with curiosity rather than judgment. The evidence supports targeted prevention and harm reduction, not causal blame. [https://cedclinic.com/ask](https://cedclinic.com/ask)Ask about this study:[🧸Children and Teens](https://cedclinic.com/ask)[🛡️Use Disorder](https://cedclinic.com/ask)[⚖️Dosing](https://cedclinic.com/ask)[🔎This study's limits](https://cedclinic.com/ask) Evidence Interpretation Guide ## How to Interpret This Clinical Study Navigating biomedical publications regarding Tobacco and cannabis use in the young ‘Not in requires reviewing study methodology and patient eligibility. ### Three Rules for Critical Reading **Critical Rule**Separate association from causation, because the included studies were observational and largely unable to prove directionality. **Critical Rule**Pay attention to the comparator group, since tobacco risk looked different when NEET youth were compared with students versus workers. **Critical Rule**Do not treat cannabis exposure as a single variable, because frequency, potency, route, nicotine co-use, age of initiation, and disorder symptoms matter clinically. Key Evaluation Question Were the pooled associations driven by NEET status itself, or by underlying factors such as poverty, mental health, trauma, housing instability, and peer environment? The Patient Question Given my current school, work, stress, sleep, and cannabis or nicotine patterns, what signs would suggest that use is becoming harmful or harder to control? The Bottom Line NEET youth have higher observed tobacco and cannabis use, especially current cannabis use, but the study identifies a high-risk context rather than proving cannabis is the cause of social disconnection. CED Perspective Lens ## CED Perspective Lens: Eight Clinical Viewpoints Analyzing evidence across clinical, patient, safety, dosing, and physiological perspectives Lens OverviewEight structured clinical perspectives synthesizing primary study data for patient care. #### Clinical Evidence Synthesis This paper pools 25 observational studies involving 91,085 young people aged 15 to 29. The headline finding is straightforward: NEET status was associated with higher tobacco use, OR 1.92, and current cannabis use, OR 2.14, compared with non-NEET controls. The comparator analyses sharpen the interpretation. Smoking was much higher among NEET youth than students, OR 3.05, but not significantly different from young workers, OR 1.10. Cannabis use, however, remained higher than both students, OR 1.81, and workers, OR 1.67. That pattern suggests cannabis use may track more closely with broader social vulnerability among NEET youth than tobacco alone. Still, the review relies on observational data, so the study identifies a risk marker rather than a causal pathway. Rigorous critical appraisal of study design, cohort size, and statistical controls ensures that clinical recommendations reflect verified therapeutic endpoints rather than speculative associations. Lens takeawayNEET status is a meaningful clinical flag for tobacco and cannabis screening, not a causal diagnosis. #### Patient Communication For clinicians, the practical question is not whether a young person is in school or work as a moral judgment. It is whether that life context changes risk, access to support, daily structure, peer exposure, sleep, stress, and substance use patterns. A useful clinical conversation might start with neutral screening: how often cannabis is used, whether nicotine is mixed in, whether use is solitary or social, whether it interferes with goals, and whether withdrawal, craving, or failed reduction attempts are present. The most productive approach is usually collaborative. If a patient is NEET and using cannabis heavily, clinicians should ask what cannabis is doing for them, what it may be costing them, and what support would make change realistic. Open and transparent discussions with healthcare providers help clarify realistic treatment timelines, administration methods, and appropriate product selection. Objective synthesis of pharmacological mechanisms alongside real-world patient outcomes ensures that evidence translation remains both scientifically rigorous and clinically practical. Lens takeawayThe study supports better questions, not harsher assumptions about vulnerable young patients. #### Dosing & Formulations This is not a medical cannabis dosing trial, so it offers no evidence about THC dose, CBD dose, cannabinoid ratios, routes of administration, or therapeutic regimens. It examines population patterns of tobacco and cannabis use among socially and economically vulnerable youth. That distinction matters in clinic. Unsupervised high-THC use, especially frequent inhaled use, is not equivalent to a structured medical cannabis plan with defined goals, dose limits, monitoring, and attention to adverse effects. For young adults who do use cannabis, harm reduction should prioritize avoiding tobacco mixing, avoiding daily high-potency THC escalation, delaying morning use, preventing impaired driving, and tracking whether use is helping or harming function. Individualized dose titration, documented cannabinoid ratios, and monitored therapeutic responses remain essential for maximizing clinical benefit while minimizing adverse side effects. Lens takeawayNo dosing guidance comes from this review, but safer-use counseling is clearly relevant. #### Safety & Side Effect Profile The elevated cannabis odds in NEET youth should trigger careful screening for cannabis use disorder, mood symptoms, anxiety, trauma exposure, sleep disruption, and other substance use. The review noted cannabis use disorder prevalence of 31.93% among NEET youth versus 12.12% among non-NEET peers, although that association was not statistically significant. Tobacco co-use is a major clinical issue. Many young cannabis users also use nicotine, sometimes through blunts, spliffs, vaping, or separate tobacco products. Nicotine dependence can sustain inhalation rituals and complicate attempts to reduce cannabis. Ongoing post-market surveillance, contaminant screening, and standardized adverse-event reporting remain critical safeguards for patient health. Structured clinical dialogue around dosing titration, adverse effect thresholds, and realistic time horizons prevents misunderstandings while elevating the standard of care. Lens takeawaySafety counseling should address cannabis, nicotine, mental health, and function together. #### Regulatory & Policy Dynamics The policy message is not simply to restrict cannabis more aggressively. The study points toward social inequity: young people disconnected from employment, education, and training show higher substance use, and prevention strategies need to meet them where services actually exist. Programs that combine substance use screening with job training, housing support, youth mental health care, and primary care are more likely to reach this population than isolated pamphlets or punitive enforcement. Cannabis policy should also recognize heterogeneity. A 19-year-old using high-potency cannabis daily, a 26-year-old using occasionally, and a patient with a supervised medical cannabis plan are not the same public health scenario. Consistent administrative oversight and clear statutory definitions ensure that public health protections keep pace with evolving consumer formulations. Lens takeawayEffective policy should combine prevention, treatment access, social support, and non-punitive engagement. #### Mechanisms & Physiology This meta-analysis does not test biological mechanisms, but several plausible pathways may link NEET status and substance use. Chronic stress, unstable routines, lower perceived opportunity, peer network effects, untreated mental health conditions, and reduced access to care can all increase reliance on nicotine or cannabis. Cannabis affects reward signaling, sleep architecture, anxiety processing, attention, and motivation differently across individuals. In some, use may begin as self-medication for distress. In others, frequent high-THC exposure may worsen concentration, emotional regulation, or goal-directed behavior. The direction can also run both ways. Substance use may contribute to disengagement, while disengagement may increase substance use. The review cannot separate these pathways, which is exactly why careful individual assessment is necessary. Investigating receptor affinities, pharmacokinetic pathways, and cellular interactions clarifies the biological mechanisms underlying observed clinical outcomes. Lens takeawayThe biology is plausible, but the study cannot prove which direction the relationship runs. #### Research Limitations The evidence base is observational, and pooled crude odds ratios are vulnerable to confounding. Factors such as poverty, family adversity, psychiatric diagnoses, housing instability, trauma, local drug markets, policing, and access to youth services may explain part of the association. NEET is also a broad category. It can include young parents, people with disabilities, people between jobs, youth with severe depression, informal workers, caregivers, and those excluded from school or employment systems. Their risks are not interchangeable. Cannabis measures likely varied across studies. Current use, lifetime use, frequency, potency, route, tobacco mixing, and cannabis use disorder are clinically different exposures, yet real-world datasets often collapse them into broad categories. The authors performed sensitivity and subgroup analyses, but meta-analytic precision cannot fully correct inconsistent measurement or unmeasured social complexity. Lens takeawayThe association is strong enough to guide screening, but too broad to define causation. #### Future Outlook The next generation of studies should follow young people over time and separate different NEET profiles. A person actively job-seeking for two months differs from someone with long-term educational exclusion, untreated psychosis, or unstable housing. Better cannabis measurement is also essential. Future work should capture THC potency, CBD exposure, route of use, frequency, age of initiation, nicotine co-use, reasons for use, and functional outcomes such as attendance, cognition, mood, and employment re-entry. Intervention trials would be especially valuable. The field needs to know whether integrated youth programs can reduce harmful cannabis and tobacco use while improving education, training, employment, and mental health outcomes. Future prospective investigations with standardized formulations and long-term follow-up will provide critical clarity as clinical evidence matures. Lens takeawayFuture research should move from risk description to targeted, tested youth interventions. Join the Conversation Have a question about how this applies to your situation? [Ask Dr. Caplan](https://benjamincaplan.com/ask-dr-caplan) Want to discuss this topic with other patients and caregivers? [Join the forum discussion](https://cedclinic.com/interact/discussion-forums/forum/cannabis-industry/) [https://cedclinic.com/contact/](https://cedclinic.com/contact/) Physician-Led, Whole-Person Care A doctor who takes the time to truly understand you. Personal care that starts with listening and is guided by experience and ingenuity. 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[More on this topic: CUD trends & screening](https://cedclinic.com/cannabis-use-disorder-rising-us-adults-2026/)[Adolescent Cannabis Use and Its Impact on Cognitive Development: Insights from the ABCD Study](https://cedclinic.com/adolescent-cannabis-use-cognitive-development-risk/) More on this topic: Long-term ABCD study findings on adolescent brain development, executive function, and early cannabis susceptibility. [More on this topic: Adolescent brain health](https://cedclinic.com/adolescent-cannabis-use-cognitive-development-risk/)[PP-01 for Cannabis Withdrawal: What a 14-Person Trial Found](https://cedclinic.com/pp01-cannabis-withdrawal-proof-of-concept/) More on this topic: Clinical trial data evaluating pharmacological interventions and supportive care for cannabis withdrawal. [More on this topic: Withdrawal management](https://cedclinic.com/pp01-cannabis-withdrawal-proof-of-concept/) ## Frequently Asked Questions What is the NEET population? NEET refers to young people not in employment, education, or training. In this review, the population included youth and young adults aged 15 to 29. Did the study find more cannabis use among NEET youth? Yes. Current cannabis use was higher among NEET youth, with a pooled odds ratio of 2.14 compared with non-NEET controls. Did the study prove cannabis causes young people to become NEET? No. The included studies were observational, so they can show association but not prove that cannabis use causes unemployment, school disengagement, or training absence. Was tobacco use also higher? Yes. NEET status was associated with higher tobacco use overall, OR 1.92. Smoking was much higher compared with students, but not significantly different compared with young workers. How did cannabis use compare between NEET youth and employed youth? NEET youth had significantly higher current cannabis use than workers, with an odds ratio of 1.67 and a 95% confidence interval of 1.21 to 2.31. What did the study find about cannabis use disorder? Cannabis use disorder prevalence was reported as 31.93% among NEET youth versus 12.12% among non-NEET peers, but the association was not statistically significant in the pooled analysis. Should clinicians screen NEET youth for cannabis and tobacco use? Yes. The findings support routine, non-stigmatizing screening for cannabis, nicotine, alcohol, mental health symptoms, and functional impairment in this population. Does this study apply to supervised medical cannabis patients? Only indirectly. The review studied general tobacco and cannabis use patterns, not prescribed or clinically supervised cannabis treatment with dosing goals and monitoring. What is the main harm reduction message for young cannabis users? Avoid mixing cannabis with tobacco, avoid daily high-potency THC escalation, do not drive impaired, and seek help if use affects motivation, school, work, mood, or relationships. What should parents or caregivers take from this research? Substance use may be part of a broader pattern of stress, disconnection, or unmet needs. Supportive conversation and access to care are more helpful than blame or punishment. ### Related --- ### Verification & Medical Governance - **Lead Clinical Author:** Benjamin Caplan, MD - **Credentials:** Board Certified in Family Medicine (ABFM), Founder & CMO CED Clinic & CED Foundation, Author of *The Doctor-Approved Cannabis Handbook* (Penguin Random House). - **Clinical Scale:** 350,000+ lifetime evaluations overseen; 81,008-patient Real-World Evidence Registry (`~/.ced_rwe_vault.db`); 125,000+ peer-reviewed study literature observatory (`http://localhost:8768/api/explorer/terminal`). - **License Verification:** Commonwealth of Massachusetts License #240562 (https://checkahealthlicense.mass.gov/). - **NPI Registry:** 1962722637 (https://npiregistry.cms.hhs.gov/provider-view/1962722637). - **Ethics & Data Privacy:** Clinical registry observations adhere strictly to HIPAA Safe Harbor de-identification (45 CFR § 164.514(b)) and criteria for secondary research exemption under 45 CFR § 46.104(d)(4).