Vaporizers and Health: What the Evidence Shows – and What Remains Uncertain

A dry-herb vaporizer can reduce exposure to certain combustion products compared with smoking. It does not, however, make cannabis safe: THC is still absorbed and can cause acute impairment. Direct evidence on long-term disease specifically in dry-herb users is limited. Three separate questions are therefore crucial: what is inhaled, what acute effects arise, and what long-term consequences have been studied? Muheriwa-Matemba et al. (2024) Abrams et al. (2007) Spindle et al. (2018)

Which products does this overview cover?

This refers to devices that heat dried cannabis flower. THC cartridges, oils, dabbing, and nicotine e-cigarettes are distinct product categories. In population studies, “cannabis vaping” frequently encompasses several of these simultaneously. If the product type was not recorded, the finding cannot be attributed specifically to a dry-herb device. Medically prescribed cannabis and recreational use also differ in indication, comorbidities, and patterns of use. Muheriwa-Matemba et al. (2024) Sun et al. (2026)

The following sections are an evidence-based literature review drawing on a curated study library. They do not constitute an independent systematic review or individual treatment recommendation. Scientific quality here does not depend on the number of references cited, but on whether each source actually supports the specific claim made.

Which advantages over smoke have been directly studied?

In the randomised pilot study by Abrams involving 18 participants, standardized cannabis cigarettes were compared with a Volcano vaporizer. THC exposure was similar across conditions; exhaled CO concentration was lower with vaporization. This provided an objective measure of a combustion marker. Long-term disease outcomes were not among the endpoints. Abrams et al. (2007)

Lanz examined five devices in the laboratory. The work demonstrates that cannabinoid transfer and decarboxylation can be assessed in a device-specific manner. It includes neither human participants nor a comprehensive toxicological evaluation of all aerosol constituents. Its findings therefore cannot be translated into a figure such as “95 per cent less harmful”. Lanz et al. (2016)

The justifiable health conclusion remains limited: avoiding combustion can reduce certain exposures. How substantially this alters the risk of specific diseases must be investigated separately. A product’s price, a particular heating method, or a pleasantly perceived aerosol does not substitute for such investigation.

Can a vaporizer produce stronger effects than smoking?

Yes, under certain conditions. Spindle and colleagues studied 17 adults who had not used cannabis in the preceding month. Each participant took part in six sessions involving placebo, a nominal THC dose of 10 or 25 mg, and different routes of inhalation. At the same nominal dose, numerous acute effects were more pronounced following vaporization. In the 25 mg condition, mean peak concentrations in whole blood were 14.4 ng/ml after vaporization and 10.2 ng/ml after smoking. Spindle et al. (2018)

These values are not individual dosing targets. They describe group means from a small laboratory study and do not represent general bioavailability. The dose was blinded; blinding to the visibly distinct route of inhalation via a double-dummy design was not employed. Additionally, smoking was conducted using a pipe rather than a tobacco-rolled joint. These details are material when translating the findings into a practical comparison.

A reduced sensation of smoke irritation is therefore not a reliable indicator of weaker THC effect. A technical advantage in aerosol transfer can accompany stronger acute impairment. Conversely, no fixed conversion rule between a joint and a vaporizer can be derived from this study. Spindle et al. (2018)

Does switching improve lung function?

A small before-and-after study followed 20 frequent cannabis users with respiratory complaints over one month. The core analysis included twelve individuals who had no intercurrent respiratory illness. Self-reported symptoms and forced vital capacity FVC improved; the change in one-second capacity FEV1 did not reach statistical significance. There was no randomised control group. Van et al. (2010)

The finding warrants further research but does not justify any promise of cure. Without a control group it is difficult to rule out, among other things, natural fluctuations, expectation effects, and changes in other consumption habits. The selection of the twelve individuals may additionally influence the result. The formulation “vaporizers improve lung function” would therefore be an overgeneralisation.

An internet-based cross-sectional study found fewer self-reported respiratory symptoms among primary dry-herb vaporizer users. Of 6.883 evaluable individuals, only 152 belonged to this group. Usage patterns and symptoms were recorded simultaneously; self-selection and self-report limit the conclusions that can be drawn. This is an association, not an experimentally demonstrated effect of switching. Earleywine et al. (2007)

What do more recent respiratory studies show?

The CANUCK cross-sectional study compared 139 cannabis smokers with 57 never-smokers and combined questionnaires, lung function tests, imaging, and analyses of airway epithelium. Greater cannabis smoking exposure was associated with several adverse findings. However, 84 per cent of the cannabis group reported current or past cigarette smoking or vaping. The study therefore isolates neither a pure cannabis effect nor an effect specific to dry-herb vaporizer use. Leung et al. (2026)

A longitudinal PATH analysis of 5.211 young adults examined newly occurring respiratory symptoms. For exclusive cannabis vaping the adjusted odds ratio was 0.93 with a very wide 95% confidence interval of 0.20 to 4.43. This statistically non-significant finding does not rule out a clinically meaningful harm. The small vaping subgroup and imprecise product categorization further limit the conclusions. Sun et al. (2026)

Which risks remain relevant regardless of combustion?

The NIDA study of 20 individuals found an increase in heart rate following smoked, vaporized, and oral active cannabis administration. Removing the smoke therefore does not eliminate all acute systemic effects. Findings on uptake and subjective effects from this cohort must not be counted as independent samples from one another. Newmeyer et al. (2017) Newmeyer et al. (2016)

For longer-term risks, separation by mode of consumption is frequently inadequate. A meta-analysis of psychotic outcomes found an OR of 3.90 (95% CI 2.84–5.34) for the highest consumption group compared with non-users. This is an observed group-level association, not an individual prognosis, and not a risk figure specific to vaporizer use. Marconi et al. (2016)

The review on cannabis use disorder covered 21 studies. Pooled, 22 per cent of individuals with cannabis use met criteria for Cannabis Use Disorder (95% CI 18–26 per cent), with considerable variation depending on population and diagnostic criteria. Prevalence is not the same as an individual’s future risk. The longstanding blanket figure of “nine per cent become dependent” does not adequately reflect these differences. Leung et al. (2020)

How robust is the evidence on cardiovascular disease?

A more recent meta-analysis of 24 observational studies reported positive associations between cannabis use and acute coronary syndrome, stroke, and cardiovascular death. An earlier review, by contrast, found no statistically significant pooled associations and very high heterogeneity. Differences in study selection, exposure definition, and analysis must remain visible. Neither paper provides a precise individual risk figure for any specific dry-herb vaporizer. Storck et al. (2025) Theerasuwipakorn et al. (2023)

The correct conclusion is therefore neither “cannabis protects the heart” nor “any use causes a heart attack”. Relevant risk signals exist, but their precise magnitude and causal attribution are limited by the predominantly observational data. A comparison of devices cannot replace an individual medical benefit–risk assessment.

Why is there no universally healthy temperature setting?

The temperature displayed, the actual material temperature, and the aerosol composition are distinct quantities. The study library does not define a setting that eliminates all relevant risks across devices and products. Moreover, lower thermal load cannot straightforwardly be equated with lower THC uptake. What matters is the overall exposure pattern. Lanz et al. (2016) Hazekamp et al. (2006)

Which findings are robust enough to inform decisions?

Direct laboratory and human studies support lower exposure to selected combustion markers with the dry-herb vaporizer method examined. Acute THC effects persist and may be more pronounced with efficient delivery. Observations of fewer respiratory symptoms are of interest, but are no substitute for long-term controlled endpoints. A comprehensively validated demonstration of health superiority for individual current device models is not available in this library. Abrams et al. (2007) Spindle et al. (2018) Van et al. (2010) Lanz et al. (2016)

Further detail is available in Vaporization and Combustion, the Respiratory Comparison, and the discussion of Microdosing. Device selection and prices belong in the Buying Guide; they should be kept separate from the health findings presented here.

Studies in detail: methods, results and limitations

The following boxes make the key sources and their limits of transferability transparent. A device study or pharmacokinetics study does not automatically constitute evidence of long-term health safety. For technical articles, the studies are often relevant only to the explicitly stated distinction between health claims and yield claims.

Shared sample: The Newmeyer publications S05/S06/S07 cited here are drawn from the same NIDA cohort of 20 participants. They are not counted as independent samples.

Muheriwa-Matemba SR et al. (2024)

Study
Systematic review
Sample
42 included publications: 6 case reports, 21 reviews, 15 empirical studies; among the empirical studies are 2 RCTs, 5 retrospective analyses, 3 longitudinal studies, and 3 cross-sectional studies.
Comparison and measurement
Web of Science, ProQuest, PsycINFO, Scopus, Embase, and Medline; peer-reviewed publications 2009–2023; PRISMA; only studies with documented route of administration.
Randomisation and blinding
Not at the review level; only a small proportion of the primary studies were randomised.
Result
Smoking was most consistently associated with respiratory symptoms and conditions; edibles showed little direct respiratory effect; tachycardia was reported across several routes of administration.
Strengths
Tailored specifically to route of administration; broad database search; distinguishes smoking, vaping, oral use, and dabbing.
Limitations and potential bias
Highly heterogeneous evidence; includes reviews and case reports alongside primary studies; no meta-analysis; the authors themselves describe route-specific conclusions as preliminary.

Muheriwa-Matemba SR, Baral A, Abdshah A, Diggs BA, Gerber Collazos KS, Morris KB, Messiah SE, Vidot DC. 2024. Cardiovascular and Respiratory Effects of Cannabis Use by Route of Administration: A Systematic Review. Substance use & misuse. DOI: 10.1080/10826084.2024.2341317 · PMID 38644600

Abrams DI et al. (2007)

Study
Randomised controlled pilot study, repeated measures
Sample
18 healthy inpatient cannabis users
Comparison and measurement
Comparison of a standardized smoked cannabis cigarette versus the Volcano vaporizer; plasma THC, exhaled CO, physiological and neuropsychological effects.
Randomisation and blinding
Yes. Cannabis potency (1.7%, 3.4%, 6.8% THC) and delivery system were randomly assigned across six study days.
Result
THC exposure was similar between smoking and vaporizing; exhaled CO was markedly lower after vaporization; no serious adverse events.
Strengths
Direct controlled head-to-head comparison; objective biomarkers; randomised.
Limitations and potential bias
Very small sample; pilot in nature; older and lower THC potencies compared with today’s products; no long-term endpoints.

Abrams DI, Vizoso HP, Shade SB, Jay C, Kelly ME, Benowitz NL. 2007. Vaporization as a smokeless cannabis delivery system: a pilot study. Clinical pharmacology and therapeutics. DOI: 10.1038/sj.clpt.6100200 · PMID 17429350

Spindle TR et al. (2018)

Study
Controlled crossover study within the same participants; dose blinded, inhalation route apparent.
Sample
17 healthy adults; 9 male, 8 female; mean age 27.3 years; no cannabis use in the preceding month.
Comparison and measurement
Six sessions with 1-week washout; 0, 10, and 25 mg THC, each smoked or vaporized; subjective effects, cognition, psychomotor performance, vital signs, and blood THC.
Randomisation and blinding
Dose order within inhalation blocks randomised, order of inhalation routes counterbalanced. Dose blinding employed; no double-dummy procedure to blind inhalation route.
Result
Vaporization generally produced stronger acute effects and higher peak blood THC at equivalent THC doses; at 25 mg, Cmax approximately 14.4 ng/ml vaporized vs 10.2 ng/ml smoked.
Strengths
Placebo condition, within-person comparisons, multiple doses, and objective whole-blood measurements.
Limitations and potential bias
n=17; infrequent users only; acute laboratory study; no conclusions on long-term pulmonary or overall morbidity.

Spindle TR, Cone EJ, Schlienz NJ, Mitchell JM, Bigelow GE, Flegel R, Hayes E, Vandrey R. 2018. Acute Effects of Smoked and Vaporized Cannabis in Healthy Adults Who Infrequently Use Cannabis: A Crossover Trial. JAMA network open. DOI: 10.1001/jamanetworkopen.2018.4841 · PMID 30646391 · PMC6324384

Sun R et al. (2026)

Study
National longitudinal observational study (PATH)
Sample
5.211 young adults (aged 18–24) with no prior respiratory or pulmonary disease, Wave 6→7.
Comparison and measurement
Baseline 2021, follow-up to 2023; multivariable logistic regression, adjusted for demographics, other substances, health factors, obesity and cannabis frequency.
Randomisation and blinding
No.
Result
Vaping-only was not significantly associated with new functionally relevant respiratory symptoms (AOR 0.93; very wide CI); smoking-only AOR 3.04; dual use AOR 4.36. After excluding tobacco users, only dual use remained significant.
Strengths
Large longitudinal, nationally representative sample; baseline group free of respiratory disease; confounder adjustment.
Limitations and potential bias
Only 2.1% vaping-only → low statistical power and very wide CI; product type (dry-herb vaporizer vs. oil/cartridge) insufficiently granular; self-report.

Sun R, Benowitz NL, Hammond D, Mendez D, Warner KE. 2026. Cannabis Vaping, Smoking, and Dual Use and the Onset of Respiratory Symptoms Among U.S. Young Adults. American journal of preventive medicine. DOI: 10.1016/j.amepre.2026.108421 · PMID 42142848

Lanz C et al. (2016)

Study
In-vitro device and aerosol validation
Sample
No human participants; 5 commercial dry-herb vaporizers, THC-dominant and CBD-dominant plant material.
Comparison and measurement
GC/MS for cannabinoid recovery in collected aerosol, HPLC for acidic cannabinoids and decarboxylation; Volcano Medic, Plenty, Arizer Solo, DaVinci, and a gas-powered device.
Randomisation and blinding
Not applicable.
Result
Electrically temperature-controlled devices decarboxylated THC/CBD very efficiently and delivered cannabinoids reproducibly; combustion was observed with the gas-powered device.
Strengths
Validated analytical methods; multiple devices; direct measurement of material transfer.
Limitations and potential bias
No human participants, no clinical endpoints, no comprehensive toxicological aerosol analysis; device generations are older.

Lanz C, Mattsson J, Soydaner U, Brenneisen R. 2016. Medicinal Cannabis: In Vitro Validation of Vaporizers for the Smoke-Free Inhalation of Cannabis. PloS one. DOI: 10.1371/journal.pone.0147286 · PMID 26784441 · PMC4718604

Van Dam NT, Earleywine M (2010)

Study
Single-arm pre/post intervention study
Sample
20 frequent cannabis users with at least two respiratory symptoms; 12 without intercurrent respiratory illness formed the primary analysis.
Comparison and measurement
One month switching to a vaporizer; nine subjective respiratory symptoms plus spirometry (FEV1, FVC) before and after the intervention.
Randomisation and blinding
No.
Result
In the 12 participants without respiratory infection, symptoms improved markedly; FVC improved significantly; FEV1 improved numerically, narrowly falling short of significance.
Strengths
Prospective intervention; objective spirometry in addition to symptom measures.
Limitations and potential bias
Very small; no control group; selection of the 12 participants may introduce bias; short duration; no blinding.

Van Dam NT, Earleywine M. 2010. Pulmonary function in cannabis users: Support for a clinical trial of the vaporizer. The International journal on drug policy. DOI: 10.1016/j.drugpo.2010.04.001 · PMID 20451365

Earleywine M, Barnwell SS (2007)

Study
Cross-sectional online survey
Sample
6.883 evaluable participants; only 152 (2.2%) primarily used a vaporizer.
Comparison and measurement
Self-reported consumption method, age, sex, quantity of cigarettes and cannabis, and six respiratory symptoms; logistic regression.
Randomisation and blinding
No.
Result
Primary vaporizer use was associated with fewer self-reported respiratory symptoms after statistical adjustment (approximately OR 0.40).
Strengths
Very large overall sample; adjustment for key confounders.
Limitations and potential bias
Cross-sectional; self-selection via cannabis-related mailing lists; self-report; only 152 primary vaporizer users; no causal inference possible.

Earleywine M, Barnwell SS. 2007. Decreased respiratory symptoms in cannabis users who vaporize. Harm reduction journal. DOI: 10.1186/1477-7517-4-11 · PMID 17437626 · PMC1853086

Leung C et al. (2026)

Study
Cross-sectional clinical multimodal study
Sample
139 cannabis smokers stratified by joint-years (≤5, >5–20, >20) and 57 never-smokers; 48% male, median age 27; 84% of the cannabis group with current or former cigarette smoking or vaping.
Comparison and measurement
SGRQ/CAT, spirometry, plethysmography, diffusion capacity measurement, CT, hyperpolarised 129Xe MRI, bronchoscopy/airway brushings, immune/mucin gene expression and cell culture.
Randomisation and blinding
No.
Result
Cannabis-smoking groups reported more respiratory symptoms; high joint-year exposure was associated with worse flow/ratio parameters, greater emphysema/ventilation abnormalities and an altered epithelial immune/MUC5AC signature.
Strengths
Highly advanced objective phenotyping; dose-stratified groups; imaging plus physiology plus molecular biology; adjustment including for tobacco/vaping.
Limitations and potential bias
Cross-sectional design, therefore no causal inference; very high proportion with concurrent tobacco/vape exposure; residual confounding.

Leung C, Gilchrist CL, Wang CJ, Liggins JA, Li X, Yang J, Cheung CY, Gerayeli FV, Singhera GK, Hsu WJ, Lidher LS, Moo K, Leyson E, Dhillon SS, Shaipanich T, Leipsic JA, Guenette JA, Rayment JH, Kirby M, Gershon AS, Sadatsafavi M, Tan WC, Parraga G, Carlsten C, Eddy RL, Sin DD, Leung JM. 2026. Clinical, physiological, imaging and molecular responses to cannabis smoking: the Canadian Users of Cannabis Smoke (CANUCK) study. The European respiratory journal. DOI: 10.1183/13993003.01659-2025 · PMID 41198398 · PMC12805821

Newmeyer MN et al. (2017)

Study
Controlled within-subject study with placebo condition
Sample
20 participants: 11 frequent and 9 occasional cannabis users
Comparison and measurement
Placebo versus active cannabis (6.9% THC, approximately 54 mg) smoked, vaporized, or administered orally; subjective effects, heart rate, and exhaled CO.
Randomisation and blinding
Controlled study protocol; the same NIDA crossover cohort was described as randomised/double-blind in associated publications.
Result
Smoking and vaporizing increased subjective effects; heart rate rose following all active routes of administration; smoking increased CO significantly more than vaporization.
Strengths
Direct three-way comparison; objective CO endpoint; separate analysis of frequent and occasional users.
Limitations and potential bias
Very small sample; high dose; differences in tolerance; multiple publications use the same cohort and must not be counted as independent studies.

Newmeyer MN, Swortwood MJ, Abulseoud OA, Huestis MA. 2017. Subjective and physiological effects, and expired carbon monoxide concentrations in frequent and occasional cannabis smokers following smoked, vaporized, and oral cannabis administration. Drug and alcohol dependence. DOI: 10.1016/j.drugalcdep.2017.02.003 · PMID 28407543

Newmeyer MN et al. (2016)

Study
Randomised, double-blind crossover pharmacokinetics study
Sample
The same controlled NIDA cohort: 11 frequent and 9 occasional users (n=20).
Comparison and measurement
Blood PK over 54 h (occasional) and 72 h (frequent users) following smoked, vaporized, and oral cannabis.
Randomisation and blinding
Yes; PubMed classifies the study as an RCT, crossover, and double-blind.
Result
Smoked and vaporized showed relatively similar cannabinoid PK; oral cannabis produced higher THCCOOH and glucuronide concentrations and different time courses.
Strengths
Highly detailed PK; standardized dose; multiple routes; long sampling series.
Limitations and potential bias
No long-term clinical harm endpoint; same participants as several Newmeyer/Swortwood publications.

Newmeyer MN, Swortwood MJ, Barnes AJ, Abulseoud OA, Scheidweiler KB, Huestis MA. 2016. Free and Glucuronide Whole Blood Cannabinoids’ Pharmacokinetics after Controlled Smoked, Vaporized, and Oral Cannabis Administration in Frequent and Occasional Cannabis Users: Identification of Recent Cannabis Intake. Clinical chemistry. DOI: 10.1373/clinchem.2016.263475 · PMID 27899456

Marconi A et al. (2016)

Study
Systematic review and dose–response meta-analysis
Sample
571 references; 18 studies in the systematic review, 10 in the meta-analysis; 66.816 participants.
Comparison and measurement
Electronic databases plus hand-searching; random-effects model; dose–response relationship modeled from published summary data.
Randomisation and blinding
No; observational studies.
Result
Highest use group vs. non-users: OR 3.90 (95% CI 2.84–5.34) for schizophrenia/psychotic outcomes; dose–response pattern.
Strengths
Large aggregated sample; explicit dose–response question; consistent directional signal.
Limitations and potential bias
Observational data; heterogeneous definitions of ‘high use’; residual confounding and reverse causation cannot be fully excluded.

Marconi A, Di Forti M, Lewis CM, Murray RM, Vassos E. 2016. Meta-analysis of the Association Between the Level of Cannabis Use and Risk of Psychosis. Schizophrenia bulletin. DOI: 10.1093/schbul/sbw003 · PMID 26884547 · PMC4988731

Leung J et al. (2020)

Study
Systematic review and meta-analysis of epidemiological studies
Sample
1.383 hits; 21 studies included.
Comparison and measurement
PubMed, Global Burden of Disease, and supplementary searches; DSM-/ICD-based CUD outcomes; random-effects and meta-regression.
Randomisation and blinding
No.
Result
Among persons with any cannabis use: pooled 22% CUD, 13% abuse, 13% dependence; in cohorts of regular young users the estimated risk of dependence was 33% (22–44%).
Strengths
Distinguishes risk among users from prevalence in the general population; diagnostic criteria.
Limitations and potential bias
High heterogeneity and dependence on population and definition; 33% does not apply to ‘all cannabis users’.

Leung J, Chan GCK, Hides L, Hall WD. 2020. What is the prevalence and risk of cannabis use disorders among people who use cannabis? a systematic review and meta-analysis. Addictive behaviors. DOI: 10.1016/j.addbeh.2020.106479 · PMID 32485547

Storck W et al. (2025)

Study
Systematic review and meta-analysis of pharmacoepidemiological studies
Sample
24 studies from 3.012 hits: 17 cross-sectional, 6 cohort, 1 case–control.
Comparison and measurement
PubMed, Web of Science, Scopus; studies 2016–Jan 2023; PROSPERO; ROBINS-E; pooled adjusted effect estimates, random-effects.
Randomisation and blinding
No.
Result
ACS RR 1.29; stroke RR 1.20; cardiovascular death RR 2.10; cohort analysis similar for ACS.
Strengths
Current methodology; ROBINS-E; adjusted estimates only; cohort sensitivity analysis.
Limitations and potential bias
Non-randomised; routes/doses often unknown; administrative exposure classification; residual confounding possible.

Storck W, Elbaz M, Vindis C, Déguilhem A, Lapeyre-Mestre M, Jouanjus E. 2025. Cardiovascular risk associated with the use of cannabis and cannabinoids: a systematic review and meta-analysis. Heart (British Cardiac Society). DOI: 10.1136/heartjnl-2024-325429 · PMID 40527600

Theerasuwipakorn N et al. (2023)

Study
Systematic review and meta-analysis of observational studies
Sample
20 studies, totalling 183.410.651 records/patients; 4 prospective cohorts, 9 retrospective cohorts, 7 cross-sectional.
Comparison and measurement
PubMed, Scopus/EMBASE, Cochrane to July 2022; MOOSE/PRISMA; Newcastle–Ottawa; random-effects; publication bias tests.
Randomisation and blinding
No.
Result
No statistically significant pooled association for MI (OR 1.29; CI 0.80–2.08), stroke (OR 1.35; 0.74–2.47), or composite cardiovascular events; very high heterogeneity.
Strengths
Very large aggregated data set; quality assessment; adjusted estimates.
Limitations and potential bias
I² approximately 97–99%; very large administrative data sets dominate; route, dose, duration, and purpose mostly unknown.

Theerasuwipakorn N, Prechawat S, Chokesuwattanaskul R, Siranart N, Marsukjai A, Thumtecho S, Rungpradubvong V. 2023. Cannabis and adverse cardiovascular events: A systematic review and meta-analysis of observational studies. Toxicology reports. DOI: 10.1016/j.toxrep.2023.04.011 · PMID 37168078 · PMC10165401

Hazekamp A et al. (2006)

Study
Device and dose evaluation study with analytical and clinical components
Sample
Primarily device and laboratory characterization; human component for inhalation and exhalation balance, exact number of participants not reported in the abstract.
Comparison and measurement
Variation of temperature, sample, and balloon volume; inter- and intra-device variability; loaded versus delivered THC dose; clinical inhalation measurements.
Randomisation and blinding
No/not a classical RCT.
Result
On average, approximately 54% of the loaded THC dose reached the balloon; approximately 35% of the inhaled THC was exhaled again.
Strengths
Reproducibility and dose validation; important methodological basis for subsequent Volcano studies.
Limitations and potential bias
No long-term toxicology; outdated hardware and products; health-related conclusions are indirect.

Hazekamp A, Ruhaak R, Zuurman L, van Gerven J, Verpoorte R. 2006. Evaluation of a vaporizing device (Volcano) for the pulmonary administration of tetrahydrocannabinol. Journal of pharmaceutical sciences. DOI: 10.1002/jps.20574 · PMID 16637053

Frequently Asked Questions

Which products does this overview cover?

This refers to devices that heat dried cannabis flower. THC cartridges, oils, dabbing, and nicotine e-cigarettes are distinct product categories. In population studies, “cannabis vaping” frequently encompasses several of these simultaneously. If the product type was not recorded, the finding cannot be attributed specifically to a dry-herb device. Medically prescribed cannabis and recreational use also differ in indication, comorbidities, and patterns of use. Muheriwa-Matemba et al. (2024) Sun et al. (2026)

Which advantages over smoke have been directly studied?

In the randomised pilot study by Abrams involving 18 participants, standardized cannabis cigarettes were compared with a Volcano vaporizer. THC exposure was similar across conditions; exhaled CO concentration was lower with vaporization. This provided an objective measure of a combustion marker. Long-term disease outcomes were not among the endpoints. Abrams et al. (2007)

Can a vaporizer produce stronger effects than smoking?

Yes, under certain conditions. Spindle and colleagues studied 17 adults who had not used cannabis in the preceding month. Each participant took part in six sessions involving placebo, a nominal THC dose of 10 or 25 mg, and different routes of inhalation. At the same nominal dose, numerous acute effects were more pronounced following vaporization. In the 25 mg condition, mean peak concentrations in whole blood were 14.4 ng/ml after vaporization and 10.2 ng/ml after smoking. Spindle et al. (2018)

References

  1. Muheriwa-Matemba SR, Baral A, Abdshah A, Diggs BA, Gerber Collazos KS, Morris KB, Messiah SE, Vidot DC. 2024. Cardiovascular and Respiratory Effects of Cannabis Use by Route of Administration: A Systematic Review. Substance use & misuse. DOI: 10.1080/10826084.2024.2341317 · PMID 38644600
  2. Abrams DI, Vizoso HP, Shade SB, Jay C, Kelly ME, Benowitz NL. 2007. Vaporization as a smokeless cannabis delivery system: a pilot study. Clinical pharmacology and therapeutics. DOI: 10.1038/sj.clpt.6100200 · PMID 17429350
  3. Spindle TR, Cone EJ, Schlienz NJ, Mitchell JM, Bigelow GE, Flegel R, Hayes E, Vandrey R. 2018. Acute Effects of Smoked and Vaporized Cannabis in Healthy Adults Who Infrequently Use Cannabis: A Crossover Trial. JAMA network open. DOI: 10.1001/jamanetworkopen.2018.4841 · PMID 30646391 · PMC6324384
  4. Sun R, Benowitz NL, Hammond D, Mendez D, Warner KE. 2026. Cannabis Vaping, Smoking, and Dual Use and the Onset of Respiratory Symptoms Among U.S. Young Adults. American journal of preventive medicine. DOI: 10.1016/j.amepre.2026.108421 · PMID 42142848
  5. Lanz C, Mattsson J, Soydaner U, Brenneisen R. 2016. Medicinal Cannabis: In Vitro Validation of Vaporizers for the Smoke-Free Inhalation of Cannabis. PloS one. DOI: 10.1371/journal.pone.0147286 · PMID 26784441 · PMC4718604
  6. Van Dam NT, Earleywine M. 2010. Pulmonary function in cannabis users: Support for a clinical trial of the vaporizer. The International journal on drug policy. DOI: 10.1016/j.drugpo.2010.04.001 · PMID 20451365
  7. Earleywine M, Barnwell SS. 2007. Decreased respiratory symptoms in cannabis users who vaporize. Harm reduction journal. DOI: 10.1186/1477-7517-4-11 · PMID 17437626 · PMC1853086
  8. Leung C, Gilchrist CL, Wang CJ, Liggins JA, Li X, Yang J, Cheung CY, Gerayeli FV, Singhera GK, Hsu WJ, Lidher LS, Moo K, Leyson E, Dhillon SS, Shaipanich T, Leipsic JA, Guenette JA, Rayment JH, Kirby M, Gershon AS, Sadatsafavi M, Tan WC, Parraga G, Carlsten C, Eddy RL, Sin DD, Leung JM. 2026. Clinical, physiological, imaging and molecular responses to cannabis smoking: the Canadian Users of Cannabis Smoke (CANUCK) study. The European respiratory journal. DOI: 10.1183/13993003.01659-2025 · PMID 41198398 · PMC12805821
  9. Newmeyer MN, Swortwood MJ, Abulseoud OA, Huestis MA. 2017. Subjective and physiological effects, and expired carbon monoxide concentrations in frequent and occasional cannabis smokers following smoked, vaporized, and oral cannabis administration. Drug and alcohol dependence. DOI: 10.1016/j.drugalcdep.2017.02.003 · PMID 28407543
  10. Newmeyer MN, Swortwood MJ, Barnes AJ, Abulseoud OA, Scheidweiler KB, Huestis MA. 2016. Free and Glucuronide Whole Blood Cannabinoids’ Pharmacokinetics after Controlled Smoked, Vaporized, and Oral Cannabis Administration in Frequent and Occasional Cannabis Users: Identification of Recent Cannabis Intake. Clinical chemistry. DOI: 10.1373/clinchem.2016.263475 · PMID 27899456
  11. Marconi A, Di Forti M, Lewis CM, Murray RM, Vassos E. 2016. Meta-analysis of the Association Between the Level of Cannabis Use and Risk of Psychosis. Schizophrenia bulletin. DOI: 10.1093/schbul/sbw003 · PMID 26884547 · PMC4988731
  12. Leung J, Chan GCK, Hides L, Hall WD. 2020. What is the prevalence and risk of cannabis use disorders among people who use cannabis? a systematic review and meta-analysis. Addictive behaviors. DOI: 10.1016/j.addbeh.2020.106479 · PMID 32485547
  13. Storck W, Elbaz M, Vindis C, Déguilhem A, Lapeyre-Mestre M, Jouanjus E. 2025. Cardiovascular risk associated with the use of cannabis and cannabinoids: a systematic review and meta-analysis. Heart (British Cardiac Society). DOI: 10.1136/heartjnl-2024-325429 · PMID 40527600
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Editorial status: 10 September 2026. Evidence-based overview based on a selected library of 34 publications; no independent systematic literature search and no medical review. Bibliographic details and available abstracts were verified; the key works by Spindle (2018) and Lanz (2016) were additionally checked in open full text. Technical selection and maintenance guidance should be distinguished from health evidence. New data may change this assessment.

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