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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Drug Test Anal. 2015 Aug 10;8(7):690–701. doi: 10.1002/dta.1839

Controlled Vaporized Cannabis, With and Without Alcohol: Subjective Effects and Oral Fluid-Blood Cannabinoid Relationships

Rebecca L Hartman 1,2, Timothy L Brown 3, Gary Milavetz 4, Andrew Spurgin 4, David A Gorelick 5, Gary Gaffney 6, Marilyn A Huestis 1
PMCID: PMC4749481  NIHMSID: NIHMS701878  PMID: 26257143

Abstract

Background and Aims

Vaporized cannabis and concurrent cannabis and alcohol intake are commonplace. We evaluated cannabis’ subjective effects, with and without alcohol, relative to blood and oral fluid (OF, advantageous for cannabis exposure screening) cannabinoid concentrations and OF/blood and OF/plasma vaporized-cannabinoid relationships.

Methods

Healthy adult occasional-to-moderate cannabis smokers received vaporized placebo or active cannabis (2.9% and 6.7% Δ9-tetrahydrocannabinol, THC) with or without oral low-dose alcohol (~0.065g/210L peak breath alcohol concentration [BrAC]) in a within-subjects design. Blood and OF were collected up to 8.3h post-dose and subjective effects measured at matched time points with visual-analogue scales and 5-point Likert scales. Linear mixed models evaluated subjective effects by THC concentration, BrAC, and interactions. Effects by time point were evaluated by dose-wise analysis of variance (ANOVA). OF versus blood or plasma cannabinoid ratios and correlations were evaluated in paired-positive specimens.

Results

Nineteen participants (13 men) completed the study. Blood THC concentration or BrAC significantly associated with subjective effects including “high,” while OF contamination prevented significant OF concentration associations <1.4h post-dose. Subjective effects persisted through 3.3–4.3h, with alcohol potentiating cannabis effects’ duration. Effect-versus-THC concentration and effect-versus-alcohol concentration hystereses were counterclockwise and clockwise, respectively. OF/blood and OF/plasma THC significantly correlated (all Spearman r≥0.71), but variability was high.

Conclusions

Vaporized cannabis subjective effects were similar to those previously reported after smoking, with duration extended by concurrent alcohol. Cannabis intake was identified by OF testing, but OF concentration variability limited interpretation. Blood THC concentrations were more consistent across subjects and more accurate at predicting cannabis’ subjective effects.

Keywords: Cannabis, Alcohol, Subjective, Blood, Oral Fluid

Graphical abstract

graphic file with name nihms701878u1.jpg

Vaporized cannabis’ subjective effects are comprehensively characterized, with and without alcohol, and cannabinoid blood and oral fluid relationships evaluated. Oral fluid significantly correlated with blood, plasma, and subjective effects, with high intersubject variability. Vaporized cannabis produced similar subjective effects to smoked, but alcohol extended cannabis’ effects duration.

Introduction

Twenty-three US states and the District of Columbia legalized medical marijuana[1], with Colorado, Washington, Oregon, and Alaska decriminalizing recreational cannabis. Smoking, the most common administration route[2], is disadvantageous as pharmacotherapy, delivering hazardous pyrolytic byproducts[3]. Volatilizing cannabinoids at sub-combustion temperatures (vaporizing) should provide similar subjective effects[46], with decreased pyrolytic byproducts[78] leading to decreased reports of respiratory symptoms[9]. However, limited clinical data are available on vaporized cannabis. As cannabis vaporization prevalence increases, it is important for clinical and forensic purposes to fully characterize subjective effects, blood and oral fluid (OF) disposition, and their relationships.

Cannabis is the most common illicit drug identified in driving under the influence (DUI) cases[10]. States with legalized medical or recreational cannabis had increased DUI-cannabis (DUIC) cases[1112], with enforcement complicated by changing cannabis laws. Blood Δ9-tetrahydrocannabinol (THC) and its non-psychoactive metabolite (11-nor-9-carboxy-THC, THCCOOH) concentrations may provide information regarding time since last intake and cannabis consumption frequency[1314]. However, blood collection is invasive and may be delayed 90min-4h after a DUI event[1516]. OF, a valuable alternative sampling matrix, is non-invasively collected, more difficult to adulterate than urine, and provides information about recent intake[1719]. Some jurisdictions already adopted OF-specific legislation for DUIC[2022]. However, OF correlation with cannabis effects or blood concentrations is not fully understood, limiting interpretation, and thus requires evaluation. Additionally, cannabis and alcohol are often identified together in DUI cases[10], making understanding their combined effects critical for forensic interpretation.

In this vaporized cannabis and oral alcohol controlled administration study, we evaluated subjective effects and OF and blood/plasma cannabinoid concentration relationships, with and without low-dose alcohol.

Methods

This protocol was approved by the University of Iowa Institutional Review Board. The study was performed at the University of Iowa Hospitals and Clinics Clinical Research Unit (UIHC-CRU) and National Advanced Driving Simulator (NADS).

Participants

Participants were recruited from the NADS subject database and provided written informed consent for the study. Inclusion criteria were ages 21–55 years; self-reported average cannabis consumption ≥1x/3months but ≤3days/week over the past 3months (Cannabis Use Disorders Identification Test [CUDIT][23]); self-reported “light” or “moderate” alcohol consumption according to a Quantity-Frequency-Variability (QFV) scale[24]; or if “heavy”, not more than 3–4 servings in a typical drinking occasion. Exclusion criteria included past or current clinically significant medical illness; history of clinically significant adverse event associated with cannabis or alcohol intoxication; ≥450mL blood donation in 2weeks preceding drug administration; pregnant or nursing; interest in drug abuse treatment within past 60days; and currently taking drugs contraindicated with cannabis or alcohol or known to impact driving.

Study Design

Participants entered the clinical research unit 10–16h before dosing to preclude intoxication. Participants drank 90% grain alcohol (to ~0.065% peak breath alcohol concentration [BrAC][25]) mixed with juice or placebo-alcohol (juice with alcohol-swabbed rim, topped with 1mL alcohol to mimic taste and odor) ad libitum over 10min; then inhaled 500mg placebo (0.008±0.002% THC), low (2.9±0.14% THC, ~14.5mg)-, or high (6.7±0.05% THC, ~33.5mg)-dose vaporized ground bulk cannabis (210°C, Volcano® Medic, Storz & Bickel, Tuttlingen, Germany) ad libitum over 10min. Cannabis was obtained from NIDA Chemistry and Physiological Systems Research Branch. Participants received all six alcohol/cannabis combinations in randomized order, one combination per session, separated by ≥1week.

OF was collected with Quantisal collection devices (Immunalysis, Pomona, CA) −0.8, 0.17, 1.4, 2.3, 3.3, 4.3, 5.3, 6.3, 7.3, and 8.3h after start of cannabis dosing[26]. Devices were placed under the tongue until indicators turned blue (collecting 1.0±0.1mL OF) or for 10min maximum, and placed into the stabilizing buffer. OF was stored in Nunc® cryotubes (Thomas Scientific, Swedesboro, NJ) at 4°C for analysis within a month[27]. Oral intake was prohibited 10min prior to OF collection. Blood was collected via indwelling peripheral venous catheter into grey-top potassium oxalate/sodium fluoride Vacutainer® tubes (BD, Franklin Lakes, NY) concurrently with OF (except 4.3 and 5.3h due to blood volume limits), with a second sample centrifuged at 1600×g, 15min. Blood and plasma were stored at −20°C in 3.6mL Nunc cryotubes, and analyzed within 3months[28]. BrAC was measured by Alco-Sensor® IV (Intoximeters, St. Louis, MO), a portable breath alcohol testing device, at the same times as OF and additionally at 0.42h post-dose. It reports alcohol in g/210L breath (limit of quantification [LOQ] 0.006g/210L), equivalent to approximate blood alcohol concentration (BAC) in g/dL.

Subjective effects were measured at the same times as OF collection by 100mm visual-analogue scales (VAS; “high”, “good drug effect”, “stimulated”, “stoned”, “anxious”, “sedated”, and “restless”) anchored by “Not At All”-”Most Ever”; and 5-point (“none”, “slight”, “mild”, “moderate”, “severe”) Likert scales (“difficulty concentrating”, “altered sense of time”, “slowed or slurred speech”, “body feels sluggish/heavy”, “feel hungry”, “feel thirsty”, “shakiness/tremulousness”, “nausea”, “headache”, “palpitations”, “upset stomach”, “dizzy”, and “dry mouth or throat”).

Specimen Analysis

OF was quantified for THC, THCCOOH, cannabidiol (CBD), and cannabinol (CBN) by two-dimensional gas chromatography-mass spectrometry[29], modified by adding 0.4mL hexane to solid-phase extraction columns before loading the initial elution solvent. THC, THCCOOH, CBD and CBN linear ranges were 0.5–50μg/L, 15–500ng/L, 1–50μg/L and 1–50μg/L, respectively. Inter- and intra-assay imprecision were ≤12.3%; analytical bias, ≤14.4% (n=21). For concentrations >upper limit of quantification (LOQ), OF was diluted with drug-free Quantisal buffer. Blood and plasma cannabinoids were quantified by liquid chromatography-tandem mass spectrometry (LCMSMS)[30]. Briefly, 0.5mL blood or plasma was protein-precipitated with ice-cold acetonitrile, supernatants diluted and solid-phase extracted with Bond-Elut Plexa cartridges (Agilent Technologies, Santa Clara, CA). THC, THCCOOH, CBD, and CBN linear ranges were 1–100μg/L. Inter-assay (n=30) analytical bias and imprecision were ≤9.3% and ≤10.0%.

Data Analysis

VAS and Likert results were assessed via linear mixed models in SPSS® version 19 for Windows (IBM, Armonk, NY). Initial data review and analyses indicated insufficiently different low-versus-high cannabis-dose THC concentrations; consequently, mixed-model analyses utilized blood THC and BrAC concentrations (continuous variables), producing the best-fit models. THC, BrAC, time, THC*BrAC, time*THC, time*BrAC, and time*THC*BrAC were evaluated as fixed effects; subject*THC and intercepts as random effects (heterogeneous (1) autoregressive). Two-tailed p<0.05 indicated significance. The same analyses were conducted with OF THC concentrations, including and excluding t=0.17h. For analytical purposes, concentrations <lower LOQ were set to 0, VAS responses were converted to percentages (0–100), and Likert responses to 5-point numerical scales (0≡”None”−4≡”Severe”). Likert linear mixed models for “feel hungry” and “feel thirsty” were only evaluated through 3.3h due to lunch. Friedman’s [factorial] repeated measures analysis of variance (ANOVA, factors: cannabis, alcohol; cannabis*alcohol interaction term, pairwise post-hoc comparisons) evaluated within-subject dose differences by time point. The Greenhouse-Geisser correction was utilized for sphericity violations (Mauchly’s test). For time point analyses, the conservative Bonferroni correction was utilized for multiple comparisons (p<0.005 significance level), and Bonferroni post-hoc testing for subjective effects differences from baseline by dosing condition at each time point. OF versus blood and plasma correlations and regression comparisons were performed with GraphPad Prism®6 (La Jolla, CA). OF/blood and OF/plasma cannabinoid ratios were calculated when quantifiable data were available for both. Dose and baseline differences were calculated via ANOVA.

Results

Participants

Nineteen cannabis smokers (13 men, ages 21–37 years, 74% white) reported cannabis consumption ≥2x/month (but ≤3days/week), and last use within a week prior to admission (Table 1). One participant (13) self-reported last intake 4months ago, despite reporting overall average consumption ≥1x/3months.

Table 1.

Self-reported demographic characteristics and recent cannabis and alcohol consumption history of 19 healthy adult occasional-to-moderate cannabis smokers

Participant Sex Age (years) Race and ethnicity BMI (kg/m2) Alcohol intake frequency Typical drinks per occasion Cannabis intake frequency Hours “stoned” on typical cannabis occasiona Time since last cannabis consumed (days) Amount last consumedb (joint or joint equivalent)
1 M 23.7 W 24.3 2–3x/wk 2–4 2–4x/m 1–2 1 1
2 F 28.4 AA 23.8 ≥4x/wk 2–4 2–4x/m 3–4 14 1
3 M 21.9 W 24.7 2–3x/wk 5–6 2–4x/m 1–2 6 1
4 M 37.8 W 26.1 2–3x/wk 2–4 2–3x/wk 1–2 3 2.5
5 M 26.6 W 21.6 ≤1x/m 2–4 ≤1x/m 1–2 11 3.5
6 F 26.3 W 20.0 2–3x/wk 2–4 2–3x/wk 3–4 1 0.25
7 M 25.8 W 40.6 2–4x/m 2–4 2–3x/wk 1–2 0.3 0.5
8 M 26.1 H 31.5 2–4x/m 1–2 2–3x/wk 1–2 3 1
9 M 23.2 W 19.5 2–3x/wk 2–4 2–3x/wk 3–4 2 1
10 M 23.1 W 23.9 2–4x/m 2–4 ≤1x/m 1–2 2 0.25
11 M 32.3 O, H 28.9 2–3x/wk 2–4 2–3x/wk 1–2 4 1
12 F 23.4 W 23.3 2–3x/wk 2–4 2–4x/m 3–4 4 1
13 F 30.3 AA 24.1 2–3x/wk 2–4 ≤1x/m <1 120 1
14 M 24.6 W 23.3 2–3x/wk 2–4 2–4x/m 1–2 7 0.8
15 M 21.8 W 32.7 ≤1x/m 1–2 2–4x/m 1–2 7 0.13
16 F 21.7 AA, W 23.0 2–4x/m 1–2 2–3x/wk 1–2 1.1 1.5
17 M 28.7 W 18.3 2–3x/wk 2–4 ≤1x/m 3–4 45 0.5
18 M 28.1 W 48.3 2–4x/m 2–4 2–4x/m 3–4 5 1
19 F 22.9 W 21.6 2–4x/m 5–6 2–3x/wk 3–4 1 1
Median 25.8 23.9 4.0 1.0
Mean 26.1 26.3 12.5 1.0
StDev 4.1 7.5 27.9 0.8
a

’Hours “stoned” ‘ wording originates from Cannabis Use Disorders Identification Test, source of self-reported cannabis frequency data

b

Cannabis amount last consumed is based on empirically-normalized joint consumption, to account for various administration routes and self-reported “sharing” between multiple individuals

Abbreviations: W, White; AA, African American; H, Hispanic or Latino; As, Asian; O, Other; AI, American Indian/Native American; StDev, standard deviation

Subjective effects

Table 2 presents linear mixed models subjective effects by THC and alcohol concentrations. The overall equation tested is represented by [SubjectiveEffectResult]=Intercept+bBloodTHC[THC]blood+bBrACBrAC+bTimepost-dosetime+bTHCBrAC[THC]bloodBrAC+bTimeTHCpost-dosetime[THC]blood+bTimeBrACpost-dosetimeBrAC+bTimeTHCBrACpost-dosetime[THC]bloodBrAC. Non-significant effects (p>0.05) were not included in the final model. In these models, b is the coefficient estimate for each contributing factor (negative or positive b indicates parameter decreases or increases effect, respectively). It represents a scaling factor by which each tested effect (e.g., blood THC, BrAC) can be multiplied to produce the best overall model for our data, thereby describing the contribution of each effect to the final model. Non-significant effects were not included in models (b=0). Blood THC was positively associated with “high”, “good drug effect”, “stimulated”, “stoned”, “anxious”, and “restless” (Table 2, Figure 1, Supplemental Figure 1), and feelings of altered time, “slowed/slurred speech”, “dizziness”, and “dry mouth/throat” (Table 2, Supplemental Figure 2). BrAC was positively associated with “high”, “good drug effect”, and “stimulated” and “difficulty concentrating”, “slowed/slurred speech”, and “body feels sluggish/heavy”. Most models contained negative time terms, indicating effects generally were highest immediately post-dose, decreasing over time. Significant negative THC*BrAC interactions were observed for “high”, “good drug effect”, “stoned”, “stimulated”, “anxious”, and “slowed/slurred speech”, but the first three contained additional significant positive time*THC*BrAC interactions. Supplemental Table 1 provides model results where subject covariance parameters could not be calculated (thus resultant model is less certain). Models produced from OF THC were different than for blood (Supplemental Tables 2–3). For multiple subjective effects, significant main effects for blood THC were not detected in OF when the time course included <1.4h; but “high”, “good drug effect”, “anxious”, “stimulated”, “stoned”, “altered sense of time”, “feel thirsty”, and “dry mouth/throat” had significant main OF effects for models that only included times ≥1.4h, after oromucosal contamination cleared. For “anxious” and “sedated”, significant (but small) OF THC*time effects were present but blood THC*time effects were not significant. Several models (“good drug effect”, “high”, “stimulated”, “stoned”, “difficulty concentrating”, “altered sense of time”, “body feels sluggish/heavy”, “feel thirsty”, “dry mouth/throat”) had significant THC*time interactions common to blood and OF.

Table 2.

Overall effect of blood Δ9-tetrahydrocannabinol (THC) concentration (μg/L), breath alcohol concentration (BrAC, g/210L), time, and interactions (THC*BrAC, time*THC, time*BrAC, time*THC*BrAC) on Visual analogue (VAS) or Likert scales subjective effects in 19 occasional-to-moderate cannabis smokers following controlled vaporized cannabis administration with and without oral alcohol.

Parameter b SEb df t pa 95% Confidence Interval of b
Lower Bound Upper Bound
VAS Anxious
Intercept 6.777 1.294 47.2 5.2 <0.001 4.174 9.380
Blood THC 0.307 0.076 19.8 4.0 0.001 0.147 0.466
 BrAC 630.5 0.2 0.826
Time −0.615 0.156 634.0 −4.0 <0.001 −0.921 −0.309
THC*BrAC −4.204 1.090 639.0 −3.9 <0.001 −6.344 −2.065
 Time*THC 489.0 1.7 0.085
 Time*BrAC 632.3 0.6 0.525
 Time*THC*BrAC 628.9 1.5 0.125
 Subject Variance in Intercepts (THC) 17.188 6.483 0.008 8.206 36.000
 Subject variance in Slopes (THC) 0.086 0.035 0.014 0.039 0.190
 ARH1 rho (slope-intercept covariance) 0.316
VAS Good Drug Effect
Intercept 20.542 2.942 27.2 7.0 <0.001 14.507 26.578
Blood THC 0.488 0.088 27.2 5.5 <0.001 0.307 0.668
BrAC 249.443 46.260 637.8 5.4 <0.001 158.603 340.283
Time −3.150 0.251 643.0 −12.6 <0.001 −3.643 −2.658
THC*BrAC −8.023 1.755 649.1 −4.6 <0.001 −11.470 −4.577
Time*THC 0.764 0.105 624.7 7.3 <0.001 0.558 0.971
 Time*BrAC 640.0 −1.8 0.079
Time*THC*BrAC 12.821 5.427 632.8 2.4 0.018 2.164 23.478
 Subject Variance in Intercepts (THC) 126.563 44.553 0.005 63.485 252.318
 Subject variance in Slopes (THC) 0.085 0.038 0.024 0.036 0.203
 ARH1 rho (slope-intercept covariance) 0.276 0.250 0.269 −0.242 0.672
VAS High
Intercept 21.541 3.016 27.3 7.1 <0.001 15.356 27.726
Blood THC 0.552 0.091 24.5 6.1 <0.001 0.364 0.740
BrAC 119.404 48.271 639.8 2.5 0.014 24.614 214.193
Time −3.394 0.262 645.9 −13.0 <0.001 −3.908 −2.879
THC*BrAC −7.440 1.823 652.2 −4.1 <0.001 −11.020 −3.861
Time*THC 0.829 0.108 558.3 7.7 <0.001 0.617 1.042
 Time*BrAC 642.5 −0.9 0.375
Time*THC*BrAC 22.343 5.665 633.4 3.9 <0.001 11.220 33.467
 Subject Variance in Intercepts (THC) 131.518 46.704 0.005 65.570 263.792
 Subject variance in Slopes (THC) 0.093 0.043 0.029 0.038 0.229
 ARH1 rho (slope-intercept covariance) 0.588 0.190 0.002 0.105 0.847
VAS Restless
Intercept 11.466 2.266 36.6 5.1 <0.001 6.873 16.059
Blood THC 0.156 0.064 25.4 2.4 0.022 0.024 0.288
 BrAC 635.9 0.1 0.903
 Time 643.2 −0.2 0.860
 THC*BrAC 648.3 −1.5 0.136
 Time*THC 593.6 0.8 0.436
 Time*BrAC 638.2 −0.1 0.952
 Time*THC*BrAC 623.8 0.8 0.439
 Subject Variance in Intercepts (THC) 63.440 22.696 0.005 31.467 127.903
 Subject variance in Slopes (THC) 0.146
 ARH1 rho (slope-intercept covariance) 0.549
VAS Sedated
Intercept 17.942 2.893 28.9 6.2 <0.001 12.023 23.860
 Blood THC 15.9 0.2 0.879
 BrAC 632.9 0.0 0.984
Time −1.444 0.253 639.0 −5.7 <0.001 −1.942 −0.947
 THC*BrAC 647.7 −0.4 0.701
 Time*THC 593.0 1.6 0.119
 Time*BrAC 634.8 1.3 0.186
 Time*THC*BrAC 627.4 0.1 0.941
 Subject Variance in Intercepts (THC) 120.808 41.818 0.004 61.298 238.091
 Subject variance in Slopes (THC) 0.149 0.074 0.043 0.057 0.392
 ARH1 rho (slope-intercept covariance) −0.749 0.118 <0.001 −0.905 −0.417
VAS Stimulated
Intercept 21.682 2.838 27.1 7.6 <0.001 15.860 27.503
Blood THC 0.297 0.080 19.2 3.7 0.001 0.130 0.464
BrAC 168.759 43.163 633.6 3.9 <0.001 84.000 253.518
Time −2.827 0.232 645.0 −12.2 <0.001 −3.284 −2.371
THC*BrAC −3.620 1.624 652.8 −2.2 0.026 −6.809 −0.431
Time*THC 0.568 0.097 611.4 5.8 <0.001 0.377 0.759
Time*BrAC −60.558 23.436 637.7 −2.6 0.010 −106.58 −14.536
 Time*THC*BrAC 628.8 1.5 0.133
 Subject Variance in Intercepts (THC) 120.357 41.508 0.004 61.223 236.608
 Subject variance in Slopes (THC) 0.069 0.037 0.060 0.024 0.196
 ARH1 rho (slope-intercept covariance) 0.469 0.214 0.028 −0.028 0.780
VAS Stoned
Intercept 19.446 2.790 28.8 7.0 <0.001 13.737 25.154
Blood THC 0.398 0.109 18.1 3.7 0.002 0.170 0.627
 BrAC 630.2 1.2 0.236
Time −2.875 0.254 634.7 −11.3 <0.001 −3.374 −2.375
THC*BrAC −5.502 1.780 640.5 −3.1 0.002 −8.997 −2.007
Time*THC 0.687 0.107 634.4 6.4 <0.001 0.477 0.896
 Time*BrAC 632.1 −0.7 0.489
Time*THC*BrAC 19.712 5.496 625.9 3.6 <0.001 8.919 30.505
 Subject Variance in Intercepts (THC) 109.037 38.954 0.005 54.135 219.620
 Subject variance in Slopes (THC) 0.159 0.073 0.030 0.065 0.392
 ARH1 rho (slope-intercept covariance) 0.631
Likert Difficulty Concentrating
Intercept 0.554 0.111 27.3 5.0 <0.001 0.327 0.781
 Blood THC 21.8 1.9 0.077
BrAC 5.151 1.672 645.3 3.1 0.002 1.868 8.434
Time −0.062 0.009 652.2 −6.9 <0.001 −0.080 −0.044
 THC*BrAC 657.5 0.4 0.658
Time*THC 0.012 0.004 441.4 3.2 0.001 0.005 0.019
 Time*BrAC 648.6 −0.9 0.390
 Time*THC*BrAC 638.0 0.5 0.611
 Subject Variance in Intercepts (THC) 0.183 0.063 0.004 0.093 0.358
 Subject variance in Slopes (THC) 0.000 0.000 0.019 0.000 0.000
 ARH1 rho (slope-intercept covariance) 0.787 0.130 <0.001 0.373 0.940
Likert Altered Sense of Time
Intercept 0.406 0.106 29.6 3.8 0.001 0.190 0.623
Blood THC 0.010 0.004 18.5 2.6 0.018 0.002 0.018
 BrAC 652.8 1.2 0.227
Time −0.059 0.009 656.0 −6.3 <0.001 −0.078 −0.041
 THC*BrAC 603.0 −0.2 0.806
Time*THC 0.013 0.003 83.3 3.7 <0.001 0.006 0.020
 Time*BrAC 654.0 0.9 0.386
 Time*THC*BrAC 645.5 0.1 0.917
 Subject Variance in Intercepts (THC) 0.159 0.055 0.004 0.080 0.314
 Subject variance in Slopes (THC) 0.000 0.000 0.021 0.000 0.000
 ARH1 rho (slope-intercept covariance) 0.987 0.047 <0.001 −0.807 1.000
Likert Slowed/Slurred Speech
Intercept 0.163 0.071 32.4 2.3 0.030 0.017 0.308
Blood THC 0.008 0.003 20.2 2.7 0.015 0.002 0.014
BrAC 3.774 1.280 647.3 2.9 0.003 1.261 6.287
Time −0.028 0.007 652.8 −4.1 <0.001 −0.042 −0.015
THC*BrAC −0.095 0.048 650.5 −2.0 0.049 −0.189 −0.001
Time*THC 0.009 0.003 210.0 3.6 <0.001 0.004 0.015
 Time*BrAC 649.9 0.1 0.903
 Time*THC*BrAC 641.5 1.2 0.228
 Subject Variance in Intercepts (THC) 0.068 0.024 0.005 0.034 0.136
 Subject variance in Slopes (THC) 0.000 0.000 0.015 0.000 0.000
 ARH1 rho (slope-intercept covariance) 0.912 0.075 <0.001 0.585 0.984
Likert Body Feels Sluggish/Heavy
Intercept 0.600 0.101 34.5 6.0 <0.001 0.396 0.805
 Blood THC 28.8 1.6 0.115
BrAC 4.568 1.936 645.0 2.4 0.019 0.767 8.369
Time −0.066 0.010 651.1 −6.3 <0.001 −0.087 −0.046
 THC*BrAC 658.3 0.0 0.965
Time*THC 0.015 0.004 558.1 3.6 <0.001 0.007 0.024
 Time*BrAC 647.6 0.4 0.691
 Time*THC*BrAC 638.7 0.0 0.993
 Subject Variance in Intercepts (THC) 0.127 0.046 0.006 0.062 0.259
 Subject variance in Slopes (THC) 0.000 0.000 0.038 0.000 0.000
 ARH1 rho (slope-intercept covariance) 0.322
Likert Feel Thirsty
Intercept 0.728 0.166 64.2 4.4 <0.001 0.396 1.059
 Blood THC 45.3 −0.1 0.949
 BrAC 419.1 −0.1 0.944
 Time 432.8 0.9 0.377
 THC*BrAC 433.4 0.6 0.524
Time*THC 0.083 0.014 429.9 6.1 <0.001 0.057 0.110
Time*BrAC 6.077 1.836 416.1 3.3 0.001 2.468 9.687
 Time*THC*BrAC 412.8 −1.3 0.181
 Subject Variance in Intercepts (THC) 0.236 0.091 0.009 0.111 0.501
 Subject variance in Slopes (THC) 0.000 0.000 0.135 0.000 0.000
 ARH1 rho (slope-intercept covariance) 0.407
Likert Dizzy
Intercept 0.125 0.040 55.1 3.1 0.003 0.045 0.206
Blood THC 0.007 0.002 25.9 2.8 0.009 0.002 0.011
 BrAC 646.1 1.5 0.141
Time −0.017 0.005 651.9 −3.2 0.001 −0.027 −0.006
 THC*BrAC 656.1 −1.8 0.065
 Time*THC 144.2 1.0 0.318
 Time*BrAC 649.3 −0.4 0.717
 Time*THC*BrAC 645.6 −0.1 0.899
 Subject Variance in Intercepts (THC) 0.014 0.006 0.012 0.007 0.032
 Subject variance in Slopes (THC) 0.000 0.000 0.006 0.000 0.000
 ARH1 rho (slope-intercept covariance) 0.829 0.147 <0.001 0.257 0.971
Likert Dry Mouth or Throat
Intercept 0.917 0.131 34.1 7.0 <0.001 0.651 1.183
Blood THC 0.008 0.003 20.5 2.3 0.034 0.001 0.015
 BrAC 646.3 −0.8 0.414
Time −0.120 0.014 654.5 −8.7 <0.001 −0.147 −0.093
 THC*BrAC 624.2 −1.9 0.057
Time*THC 0.033 0.006 399.8 5.8 <0.001 0.022 0.044
 Time*BrAC 649.1 1.4 0.157
Time*THC*BrAC 1.308 0.301 626.2 4.3 <0.001 0.716 1.900
 Subject Variance in Intercepts (THC) 0.211 0.079 0.007 0.102 0.438
 Subject variance in Slopes (THC) 0.212
 ARH1 rho (slope-intercept covariance) 0.147

Data from 19 healthy, adult cannabis smokers who participated in all dosing sessions. Subjective effects were measured by 100 mm VAS or 5-point Likert scales with choices 0≡”none”, 1≡”slight”, 2≡”mild”, 3≡”moderate”, 4≡”severe” after drinking placebo or active alcohol (calculated to produce approximate peak 0.065% BrAC) and inhaling placebo, 2.9% THC, or 6.7% THC vaporized cannabis (500 mg, Volcano® Medic vaporizer).

Linear mixed model results; b is parameter (coefficient) estimate for each factor (negative b indicates the parameter decreases the subjective effect; positive b indicates the parameter increases the overall effect).

Overall equation: [SubjectiveEffectResult]=Intercept+bBloodTHC[THC]blood+bBrACBrAC+bTimepost-dosetime+bTHCBrAC[THC]bloodBrAC+bTimeTHCpost-dosetime[THC]blood+bTimeBrACpost-dosetimeBrAC+bTimeTHCBrACpost-dosetime[THC]bloodBrAC

a

Values in bold are statistically significant (p<0.05); only significant predictors are considered in the final model.

Abbreviations: SE, standard error; df, degrees of freedom; VAS, 100mm visual-analogue scale; Likert, 5-point Likert scale; THC, Δ9-tetrahydrocannabinol; BrAC, breath alcohol concentration.

Figure 1.

Figure 1

Median [interquartile range] “high” and “stoned” visual-analogue scales (VAS) results versus time in 19 participants after low (2.9% THC) and high (6.7% THC) vaporized cannabis doses with and without low-dose oral alcohol. All VAS were out of 100.

All active-drug interventions were positively associated with subjective “good drug effect” 0.17 and 1.4h post-dose relative to baseline (time-point analyses, Supplemental Figure 1). Although alcohol only displayed a significant main dose effect at 0.17h, significant increases from baseline persisted 3.3 and 4.3h with combined cannabis and alcohol. Both low (2.9%-THC) and high (6.7%-THC) cannabis doses were positively associated with “high”, “good drug effect”, “stimulated”, and “stoned” over the first 3.3h (Figure 1 and Supplemental Figure 1). Significant alcohol-dose effects were detected 0.17h after cannabis dosing initiation (0.24h after drinking initiation) for “good drug effect” and “stimulated”. We observed only two significant low-versus-high cannabis differences by time point: “stoned” 1.4h post-dose and “anxious” 0.17h post-dose. Significant cannabis effects on “sedated” occurred at time points 2.3–4.3h post-dose. Cannabis also affected “altered sense of time” (1.7–2.3h), “feel thirsty” (0.17–2.3h), and “dry mouth/throat” (0.17–3.3h) (Supplemental Figure 2). Subjective effects versus blood and OF THC concentrations displayed counterclockwise hysteresis; whereas subjective effects versus BrAC showed clockwise hysteresis (Figure 2, Supplemental Figure 3).

Figure 2.

Figure 2

Median “high” and “stoned” visual-analogue scales (VAS) results versus median blood Δ9-tetrahydrocannabinol (THC) concentrations, oral fluid (OF) THC, and breath alcohol concentration (BrAC) in 19 participants after placebo, low (2.9% THC) and high (6.7% THC) vaporized cannabis doses with and without low-dose oral alcohol. Counterclockwise and clockwise arrows represent hysteresis curve progressions over time.

OF/Blood and OF/Plasma

OF/blood and OF/plasma ratios showed large variability. Median [range] paired-positive OF/blood ratios were 9.4 [0.3–887, N=413] THC and 3.7 [0.6–20.9]ng/μg, N=339] THCCOOH (Supplemental Table 4). Median [range] OF/plasma ratios were 7.3 [0.2–585, N=455] THC and 2.4 [0.4–13.3]ng/μg, N=341] THCCOOH. Paired-positive CBD and CBN specimens occurred only 0.17h post-dose (9–12 pairs) and showed high variability. OF THC concentration significantly correlated (p<0.001) with blood THC concentration (Figure 3, Spearman r [95%CI]=0.7469 [0.6574–0.8156] and 0.8057 [0.7339–0.8598] for low- and high-dose cannabis without alcohol, r=0.7321 [0.6389–0.8042] and 0.8447 [0.7858–0.8884] for cannabis with alcohol) and with plasma THC (Spearman r≥0.7066 in either matrix for every dose) (Supplemental Table 5). Alcohol presence did not significantly affect ratios. Due to high variability, the only significant dose effect by time point was an overall cannabis effect on OF/plasma 8.3h post-dose (Figure 4). Ratio differences between time points could not be statistically evaluated because ratio variability was high with few paired-positives (Figure 4, Supplemental Table 4).

Figure 3.

Figure 3

Oral fluid (OF) Δ9-tetrahydrocannabinol (THC) concentrations versus blood (A) and plasma (B) THC, and least-squares linear regressions from 19 participants after low (2.9% THC) and high (6.7% THC) vaporized cannabis doses with and without low-dose oral alcohol. Insets illustrate (zoom) densest regions; note graph scales. OF significantly correlated (p<0.001) with blood and plasma (Spearman r≥0.7066 in either matrix for every dose). See Supplemental Table 5 for regression equations and comparisons.

Figure 4.

Figure 4

Median [range] oral fluid (OF)/blood and OF/plasma Δ9-tetrahydrocannabinol (THC) and 11-nor-9-carboxy-THC (THCCOOH) ratios over time in paired-positive specimens from 19 participants after low (2.9% THC) and high (6.7% THC) vaporized cannabis doses.

Discussion

Blood THC concentration after vaporization was significantly and positively associated with subjective effects (Table 2), while there generally was no significant differentiation between effects of low (2.9% THC) and high (6.7% THC) dose cannabis. This is consistent with pharmacokinetic results from these participants[26, 31], and supports previous findings that THC concentrations are a better predictor of subjective effects than cannabis dose[32]. Observed effect sizes (represented by coefficient b) for most Likert measures generally were much lower than VAS for the same factors, possibly because of the shorter Likert measurement scale. Blood THC concentration was not significantly associated with “sedated” in the overall linear mixed model, although time point dose-wise ANOVA showed significant increases over 1.4–4.4h (Supplemental Figure 1). This may result from higher variability and less-consistent results throughout the time course, or possibly other study procedures (e.g., simulated driving). “High”, “good drug effect”, and “stimulated” are likely desirable effects for recreational intake, whereas “anxious” and “restless” are likely undesirable. “Stoned” and “sedated” could be either, but would be undesirable for pharmacotherapy. Vaporized cannabis significantly increased these measures immediately post-dose, lasting 3.3 or 4.3h. “Anxious” showed significant cannabis-dose effects through 1.4h. Undesirable effects including “feel thirsty” and “dry mouth/throat” increased for the first 3.3h post-cannabis. “Difficulty concentrating” and “altered sense of time” produced mixed effects over 2.3h. Only time significantly increased “feel hungry” in the hours prior to lunch, unexpectedly with no significant THC effect. Another study found cannabis significantly increased “feel hungry” relative to baseline on a 5-point Likert scale after smoking a 6.8% THC cigarette[33]; however, as there was no placebo, possibly the observed effect was due to time since last eating.

There is growing interest in correlating cannabis’ subjective effects directly to OF THC concentrations, due to OF advantages as a sampling matrix[1719]. However, our results indicate caution in interpreting effects from OF concentrations. Unlike blood models, OF regression models (full time course, Supplemental Table 3) had low b-values even when main effects or interactions were statistically significant, probably due to high inter-individual variability in OF THC concentrations and a time course influenced by OF oral contamination rather than systemic cannabinoid concentrations[1718]. THC concentrations after active doses ranged from 22.7–66,200μg/L[26]. OF THC b-values represented concentration coefficients, so b in the thousandths (order of magnitude) would indicate clinically significant effects for OF THC>1000μg/L. Considering only times ≥1.4h post-dose (Supplemental Table 2) produced models with more robust significant OF main effects, as initial OF contamination decreased. However, active-dose OF THC concentrations still ranged ~1000-fold, 3.0–3940μg/L at 1.4h and 1.6–1541μg/L at 2.3h. The ≥1000-fold concentration differences impose challenges to reliably assess effects based on OF; blood THC at 0.17, 1.4, and 2.4h ranged only 11.4–210μg/L, 0–18.4μg/L, and 0–9.6μg/L, respectively. Additionally, this may account for the high variability of OF/blood and OF/plasma THC ratios (Figure 4), although the influence of OF contamination should be greatest immediately post-inhalation. In other words, OF did not closely track blood or plasma THC changes during this 8.3h time course. Overall, OF THC concentrations were not reliable indices of blood and plasma THC concentration, accounting for the former’s weak association with subjective effects. The relationship between subjective effects and blood or OF THC concentration showed counterclockwise hysteresis (Figure 2), consistent with previous findings[33]. During cannabis inhalation, maximum blood and OF THC concentrations (Cmax) occurred immediately prior to last inhalation, then decreased rapidly[34], while peak subjective effects occur over the first 2h[32, 3537]. Subjective effects are related to brain THC concentration, with THC equilibration time in brain accounting for the lag between blood THC Cmax and maximum subjective effects[38]. Blood THC rapidly decreases during distribution to highly-perfused and adipose tissues[39], producing maximum subjective effects after blood tmax, explaining the counterclockwise hysteresis. In contrast, alcohol’s slower absorption and later Cmax[26] led to observed clockwise hysteresis. Clockwise hysteresis may be caused by tachyphylaxis (acute tolerance to an effect happening within a single dose time course, possibly due to receptor down-regulation) or feedback regulation[40].

BrAC was significantly associated, albeit not robustly, with “good drug effect”, “high”, and “stimulated”. The THC*BrAC interaction was less-than-additive (i.e., significant negative interaction term), suggesting that THC+BrAC effects were less than the sum of each individual substance effect (i.e., partial mitigation of simple main effects). However, models for several subjective effects (“high”, “good drug effect”, “stoned”) included positive time*THC*BrAC interaction terms that yielded overall approximately-additive THC+BrAC effects immediately post-dose and more-than-additive (synergistic) effects as time progressed, prolonging subjective effects. Significant increases from baseline persisting in these effects longer in cannabis-alcohol combinations (extending effects beyond those of either drug alone) corroborate this finding (Figure 1, Supplemental Figure 1).

Alcohol-alone produced hystereses shifted lower than curves for cannabis+alcohol combinations (Figure 2), indicating that participants experienced more effects after alcohol combined with active cannabis compared to alcohol-alone. Low- and high-dose cannabis combined with alcohol produced superimposed curves for “high”, “good drug effect”, “stimulated”, and “stoned”, suggesting no dose differential in cannabis effects when combined with alcohol, although individual variability was high (e.g., Supplemental Figure 4 subjective “high” (N=19)). A previous study found similar variability in individual hysteresis curves[33], albeit with just one dosing condition. Only high-THC cannabis combined with alcohol produced substantially higher blood THC Cmax. This possibly resulted from increased THC-absorption rates during inhalation (due to alcohol-induced increased cardiac output[41] and pulmonary capillary flow) or less-careful cannabis self-titration during alcohol intoxication.

Vaporized cannabis produced subjective effects and time courses similar to smoking, consistent with prior findings[33, 35]. Few studies examined combined cannabis-alcohol subjective effects[32, 4244], and none as comprehensively as reported herein. In one study, mean subjective “high” post-cannabis intake did not significantly increase with prior alcohol relative to without[42]. Although alcohol-only increased subjective cannabis-specific “high” (corroborating our findings (Figure 1)), overall, participants correctly distinguished cannabis’ from ethanol’s “high”. Participants who drank alcohol before cannabis smoking also were aware of this distinction[32]: subjective “drunkenness” was dominant before smoking, subjective [cannabis] “high” thereafter. Alcohol pretreatment significantly decreased latency to smoked-cannabis effects and increased euphoria duration[44]. In the current study, subjective effects significantly >baseline persisted longer post-cannabis dosing with alcohol than post-cannabis dosing without alcohol (“high”, “good drug effect”, “stimulated”, “stoned”, “sedated”, “difficulty concentrating”, “dry mouth/throat”).

Prior studies directly compared THC and THCCOOH relationships between OF and blood[4546] or OF and plasma/serum[19, 4751]. However, few included concurrent alcohol administration[49], and none provided within-subject blood and plasma data. Plasma is more commonly used for clinical and pharmacokinetic purposes, but blood is more common in forensic settings. A forensic OF-blood THC linear regression study in suspected drugged drivers had negligible (albeit statistically significant) correlation (R2=0.030)[46], likely caused by high variability in time since last intake and unknown food or drink ingestion. Our controlled-administration fits were stronger for all doses (Supplemental Table 3), and we observed higher correlations (Spearman r=0.7321–0.8447 among all active-cannabis conditions). However, consistent with prior research, we observed high variability in OF/blood and OF/plasma ratios (Figure 4), particularly for THC. Recently reported OF/serum THC ratios showed similar ranges[49], reiterating that OF/blood or OF/serum ratios are too variable to predict one concentration from the other[5152]. Recently, 44 [95%CI 27–90]μg/L OF THC produced the same cannabis driving prevalence as 1μg/L blood THC[53], but as we showed, there is too much variability to predict blood or oral fluid THC from the other matrix concentration. OF retains its value in identifying recent cannabis exposure[46], but is more limited in predicting cannabis effects. There were no significant alcohol effects on OF/blood or OF/plasma THC (consistent with other findings[49]).

Our study found narrower OF/blood and OF/plasma THCCOOH ratio ranges because THCCOOH enters OF from systemic circulation rather than oromucosal contamination. THCCOOH was not always detected in OF in this occasional-to-moderate-smokers cohort and, when present, was in low ng/L concentrations. OF THCCOOH distinguishes passive environmental smoke exposure from cannabis intake[54] [although chronic passive exposure was not studied][26]. Alcohol did not affect OF/blood or OF/plasma THCCOOH. THCCOOH is non-psychoactive and cannot be related to subjective effects. Its value remains as a cannabis use marker. Although OF CBD and CBN persisted for hours due to oral contamination[26], they were not present in blood and plasma after 0.42h. When present, these markers help identify recent intake, but are more likely to be detected in OF than blood in forensic settings, where blood collection lag times often exceed detection windows[1516].

Study strengths and limitations

This is the most comprehensive evaluation of which we are aware of vaporized cannabis subjective effects time courses, with and without alcohol. We observed significant cannabis subjective effects for most measures through 3.3 or 4.3h. Our robust within-subjects design, evaluation of multiple subjective effects utilizing two different types of measurement scales, and concentration-based linear mixed models approach provided in-depth analyses of cannabis, alcohol, and interaction effects over time, also comparing blood and OF concentrations. Study limitations include lack of an explicit “bad drug effect” measure, although we did measure potential negative side effects (“anxious”, “difficulty concentrating”, “body feels sluggish/heavy”), and exclusion of frequent cannabis users (>3x/week) as participants. The latter may limit the external validity of our findings, as a prior study found different subjective effects patterns in frequent versus occasional cannabis smokers[45]. To our knowledge, only one other study compared OF/serum THC concentrations after controlled vaporized cannabis in frequent smokers[19]. Authors found similar broad variability in OF/serum THC, but did not report OF/serum THCCOOH ratios.

Conclusion

We delineated subjective psychological effects of inhaled THC, with and without oral alcohol, concomitantly comparing blood and plasma to OF cannabinoid concentrations during the treatment period. Vaporized cannabis produced a notable “high” and other subjective effects through 4.3h post-dose, similar to the effect of smoked cannabis. Alcohol prolonged the duration of cannabis’ effects. Subjective effect-versus-cannabinoid concentration curves displayed counterclockwise hysteresis, but subjective effect-versus-alcohol concentration produced clockwise hysteresis possibly due to slower alcohol absorption. We observed robust OF/blood and OF/plasma correlations, but high OF cannabinoid variability challenged reliable cannabis-effects predictions. Although OF retains strong cannabis exposure screening validity, blood THC demonstrated considerably more consistent results for predicting intoxicating effects of cannabis inhalation.

Supplementary Material

Supp FigureS1-S4
Supp TableS1-S5

Acknowledgments

We thank the nurses and staff of the University of Iowa Clinical Research Unit and National Advanced Driving Simulator, especially Cheryl Roe, Jennifer Henderson, Rose Schmitt, and Kayla Smith, for excellent contributions to successful study completion. We also thank Drs. Dereece Smither and Richard Compton, National Highway Traffic Safety Administration, for invaluable input. We acknowledge University of Maryland, Baltimore Toxicology Program, and Graduate Partnership Program, National Institutes of Health (NIH). Quantisal and Volcano® devices were provided by the manufacturers to NIH through Materials Transfer Agreements, but manufacturers played no role in study design, data analysis, or manuscript writing. Research was funded by the Intramural Research Program, National Institute on Drug Abuse, NIH, the United States Office of National Drug Control Policy, and the National Highway Traffic Safety Administration.

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