Abstract
Co-users of cannabis and tobacco frequently use cannabis, then tobacco cigarettes, in a sequential pattern within an occasion, i.e., they “chase” smoked cannabis with a tobacco cigarette. The objective of this placebo-controlled, double-blind, within-subjects human laboratory study was to gather preliminary data on how smoking active vs. placebo cannabis impacts tobacco cigarette smoking behavior, craving, and subjective effects. Adult daily cannabis and tobacco co-users (N=9) were randomly assigned to two experimental visit orders (i.e., active cannabis (5.2% THC) first visit and placebo cannabis second visit, or vice versa). Participants smoked one cannabis cigarette, and approximately 30 minutes later were given a 5-minute ad libitum period to smoke one of their own brand of tobacco cigarette. As expected, boost in plasma THC levels and cannabis-related subjective effects differed between active and placebo cannabis conditions. Tobacco cigarette puff topography measures and tobacco craving did not differ between cannabis conditions, but there appeared to be between-participant heterogeneity in cumulative total puff volume. After smoking active vs. placebo cannabis, the changes in subjective effects of tobacco smoking after adjusting for pre-tobacco smoking levels were not significant. Results do not support the notion that immediate effects of smoked cannabis change the behavior of tobacco smoking. The strong overlap between cannabis and tobacco smoking may not be explained by primarily pharmacological factors, but may be driven by more nuanced and complex mechanisms involving pharmacological processes as well as learning factors.
Keywords: cannabis, marijuana, tobacco, nicotine, smoking
Introduction
The majority of US adults who use cannabis also smoke tobacco cigarettes (Schauer et al., 2015; Pacek et al., 2018), and almost half of adults who use cannabis daily or near daily are also daily tobacco cigarette smokers (Goodwin et al., 2018). The prevalence of daily/near daily cannabis and tobacco cigarette co-use has approximately doubled in the past decade; approximately 3 million US adults and approximately 10% of all adult daily cigarette smokers also use cannabis daily or near daily (Goodwin et al., 2018). Cross-sectional and longitudinal studies indicate that heavy cannabis users have higher rates of tobacco cigarette smoking initiation, faster progression to daily cigarette smoking, fewer cigarette smoking quit attempts, and lower rates of success quitting tobacco cigarette smoking (Agrawal et al., 2008; Becker et al., 2015; Gourlay et al., 1994; Patton et al., 2005; Stapleton et al., 2009; Timberlake et al., 2007). These associations persist after controlling for known covariates, suggesting that frequent cannabis use may promote tobacco cigarette smoking via causal mechanisms.
Additional support for relations between heavy cannabis use and daily tobacco cigarette smoking are garnered from studies characterizing cannabis and tobacco co-use as a behavioral phenomenon. One reliable finding is that co-users frequently use cannabis, then tobacco cigarettes, in a sequential pattern in close temporal proximity, i.e., they “chase” smoked cannabis with a tobacco cigarette (Ream et al., 2008; Wilhelm et al., 2020). Co-users often report having regularly engaged in this pattern of behavior since first initiating use of cannabis and tobacco, and that they believe that smoking a tobacco cigarette after cannabis will increase the positive subjective effects (“high”) from cannabis (Lipperman-Kreda & Lee, 2011). These observations coincide with other findings demonstrating that “chasing” behavior appears to be a unique correlate of smoking more tobacco cigarettes per day and greater nicotine dependence scores (Akbar et al., 2019). These findings are important to the present study because they provide insight as to how to develop the types of ecologically-valid laboratory models best able to examine potential causal mechanisms under controlled conditions.
We are aware of four controlled human laboratory studies that examined the acute effects of cannabis exposure on tobacco cigarette smoking behavior. The first two were long-term residential laboratory studies that examined relations between ad libitum cannabis smoking and ad libitum tobacco smoking during multi-day periods of cannabis self-administration vs. controlled cannabis abstinence (Mello et al., 1980; Mello & Mendelson, 1985). No changes in the total daily number of tobacco cigarettes smoked were observed, but the authors noted close hourly concordance between ad libitum cannabis smoking and ad libitum tobacco cigarette smoking in a pattern reflective of “chasing” behavior (Mello et al., 1980; Mello & Mendelson, 1985). The third was an outpatient laboratory study where participants received experimentally-administered inhalations from several different potencies of smoked active cannabis (1.29%, 2.84%, 4.00% Δ9-tetrahydrocannabinol (THC)) and placebo cannabis (0.0% THC) 15 minutes prior to 90-minute periods of ad libitum tobacco cigarette self-administration (Nemeth-Coslett et al., 1986). This study did not observe any effects of cannabis potency on the number of tobacco cigarettes smoked or the topographical dimensions of cigarette smoking. In the fourth of these studies (Kelly et al., 1990), participants smoked active and placebo cannabis cigarettes four times each day during 10–15 day residential periods. Participants were administered active or placebo cannabis in 2–5 consecutive-day intervals by the experimenter, using a procedure similar to the one used by Nemeth-Coslett et al. (1986). In the Kelly et al. (1990) study, active cannabis 1) significantly decreased the number of tobacco cigarettes smoked per day by delaying the initiation of ad libitum tobacco smoking immediately following experimenter-administered cannabis, and 2) significantly decreased tobacco cigarette inter-puff intervals in a manner unrelated to the timing of tobacco cigarette smoking relative to cannabis administration.
Synthesis of findings across these four studies suggests that relations between cannabis use and tobacco cigarette smoking may be nuanced. First, the results observed by studies examining relations between ad libitum cannabis self-administration and ad libitum tobacco self-administration (Mello et al., 1980; Mello & Mendelson, 1985) differed substantially from those of studies examining relations between experimenter-administered cannabis and ad libitum tobacco self-administration (Nemeth-Coslett et al., 1986; Kelly et al., 1990). This contrasts with studies examining the effects of other drug of abuse (e.g., alcohol, amphetamine, cocaine, opioid agonists) on cigarette smoking; namely, these other drugs increase ad libitum cigarette smoking when self-administered and also when experimenter-administered (Henningfield & Griffiths, 1981; Chait & Griffiths, 1983; Mello et al., 1980; Mello & Mendelson, 1985; Roll et al., 1997; Tidey et al., 2000). Taken together, these four studies may suggest that mechanistic relations between cannabis use and tobacco smoking are not driven by innate pharmacological interactions between Δ9-tetrahydrocannabinol (THC; the active psychoactive ingredient in cannabis) and nicotine (the active psychoactive ingredient in tobacco), but by more complex mechanisms involving learning as well as pharmacological processes (Henningfield et al., 1983). This is also reflected in the results of Kelly et al. (1990); i.e., experimenter-administration of active cannabis reduced tobacco cigarette smoking severity according to one metric (number of cigarettes per day) but increased severity according to a different metric (length of inter-puff interval).
Another interpretation is that these studies may have limited applicability to current co-users of cannabis and tobacco for three reasons. First, participants in one of these studies smoked an average of ~30 cigarettes/day. Cigarette consumption has declined significantly since the study was conducted, and as of 2016 only 7% of US adult daily tobacco smokers consume 30 or more cigarettes per day (Jamal et al., 2018). Smoking behavior in heavier vs. lighter smokers may be less sensitive to external variables, in part because such behavior reflects more severe aspects of nicotine dependence, such as continuity and stereotypy (Shiffman & Sayette, 2015). Second, in two of these studies, only men were included. Relative to men, women may be more sensitive to subjective effects related to cannabis (Cooper & Haney, 2014), although they appear to have less pronounced subjective effects related to cannabis after exposure to transdermal nicotine (Penetar et al., 2005). Third, participants in the three studies were not frequent cannabis users. Epidemiological trends indicate that daily cannabis users represent a growing proportion of US adults and of US adult cigarette smokers (Azofeifa et al., 2016; Goodwin et al., 2018). Thus, data are needed on how cannabis smoking affects tobacco smoking from a sample of adult co-users with cannabis and tobacco use characteristics that are associated with both 1) disproportionately high rates of tobacco cigarette smoking and poor tobacco cessation outcomes, and 2) patterns of use, i.e., frequent “chasing” suggestive of mechanistic relations. Given this is a fairly substantial proportion of all adult co-users in the US, the recruitment of these individuals and testing using a controlled laboratory model designed to capture these specific patterns of behavior (“chasing” cannabis with a tobacco cigarette following overnight abstinence) is a promising approach.
The objective of this placebo-controlled, double-blind, within-subjects human laboratory study was to gather preliminary data on how smoking active vs. placebo cannabis impacts tobacco cigarette smoking behavior, craving, and subjective effects among a participant sample with co-use patterns that are both suggestive of mechanistic relations and associated with poor tobacco cessation outcomes. In light of the studies reviewed above, we hypothesized that active, relative to placebo, cannabis use would increase: (1) intensity of tobacco cigarette smoking, as measured by tobacco cigarette puff topography; (2) tobacco craving prior to cigarette smoking, and (3) positive tobacco subjective effects.
Methods
Participants.
Participants were healthy adults (ages 18–55) living in the Baltimore, Maryland area and recruited through online advertisements (e.g., Facebook; Craigslist) and word-of-mouth referrals between May 2018 and April 2019. Eligibility criteria were chosen with the goals of (1) sampling from a group representative of cannabis and tobacco co-users with use patterns associated with poor tobacco cessation outcomes, and (2) reducing between-subjects variability in dose-response to experimentally-administered cannabis. In addition to having a positive urine test for cannabis use (THC ≥ 50 ng/mL) at the in-person screening visit, participants had to self-report use of cannabis that met the following criteria: (a) using ≥ 20 days in the past 30 days as determined by Timeline Follow-Back (TLFB) interview (Robinson et al., 2014); (b) using at least 2 days per month for the past 12 months; and (c) had not experienced excessive intoxication or other negative effects from cannabis use in the past 4 weeks. In addition to having a positive urine test for tobacco use (cotinine > 200 ng/mL) at the in-person screening visit, participants had to self-report smoking of an average of ≥5 tobacco cigarettes per day for the past 4 weeks as determined by TLFB, and daily or near-daily tobacco cigarette smoking for the past 12 months. Eligibility was restricted to those who used cannabis ≥ 20 days in the past 30 days (approximately 5–7 days/week) because studies over the past two decades examining changes in tobacco and cannabis co-use patterns demonstrate that approximately 60% of co-users who smoke tobacco cigarettes daily also smoke cannabis 5–7 days/week, and more than half of those who do not use 5–7 days/week cluster into a second discrete group that only uses cannabis 1 day/week or less (Goodwin et al., 2018). Individuals could not have experienced excessive intoxication or other negative effects from cannabis to ensure participant safety during the study. Eligibility was restricted to adults smoking an average of ≥5 tobacco cigarettes per day because lighter smokers (<5 cigarettes per day) are generally not nicotine dependent, and thus would likely not reliably show overnight abstinence effects on motivation to smoke tobacco cigarettes. In general, inclusion criteria are consistent with studies examining cannabis and tobacco co-use among heavy or problematic cannabis users (e.g., Herrmann et al., 2019).
Individuals were excluded if they: (a) met DSM-5 criteria for current or lifetime severe Cannabis Use Disorder or any other current Axis I disorder; (b) self-reported current desire to stop cannabis or tobacco use, defined as 7 or greater on 0–10 scale of Contemplation Ladder assessments; (c) self-reported daily use of non-cigarette tobacco or nicotine products or use of smoking cessation medication; (d) self-reported asthma, chronic obstructive pulmonary disease, hypertension, cardiovascular disease, or any other medical illness that precluded safe participation; (e) self-reported use of medical cannabis or using cannabis for self-medication that precluded participation; (f) had positive urine drug screen for substances other than cannabis; and (g) among females, had a positive urinary pregnancy test, self-reported lactation, or reported being sexually active with a male partner without using a reliable form of contraception.
Study Products.
Cannabis cigarettes were provided by the National Institute on Drug Abuse; active [5.6% tetrahydrocannabinol (THC)] and placebo (<0.01 THC) cigarettes appeared identical. In a US Drug Enforcement Administration-approved storage vault, cannabis cigarettes were stored frozen in an airtight container. Cannabis cigarettes were humidified at room temperature for approximately 24 hours prior to the session. Tobacco cigarettes were participants’ self-reported own brand of cigarettes, and were purchased by the experimenter.
Procedures.
The study was approved by the Battelle Institutional Review Board, US Drug Enforcement Administration, US Food and Drug Administration, and National Institute on Drug Abuse Drug Supply Program. The study was registered on clinicaltrials.gov.
Screening.
Following a brief telephone screening to determine initial eligibility, participants completed an in-person screening visit. Participants first provided informed consent to participate in the research and completed a brief consent quiz to ensure they understood study procedures. To maintain the experimental blind, participants were informed that they would be smoking two different strengths of cannabis but were not informed about the specific potencies being tested. The screening included a medical evaluation, a mental health evaluation of Axis I disorders using the Structured Clinical Interview Diagnostic – 5 (First et al., 2015); a comprehensive substance use history [i.e., TLFB assessments of use of marijuana, tobacco and nicotine products, alcohol, and other substances in the past 30 days, plus urinary tests of cotinine and illicit drugs and breath tests of carbon monoxide and alcohol (BAL<0.020%)]; a urinary pregnancy test for females; and self-report assessments (see Measures). Individuals who provided informed consent and were found eligible were enrolled into the study. Enrolled participants were randomly assigned to two possible experimental visit orders (i.e., active cannabis first visit and placebo cannabis second visit, or vice versa). Participants were informed that they had to abstain from cannabis and all products containing tobacco or nicotine for at least 10 hours prior to the 9am start time of the experimental visits, and had to abstain from illicit use of substances other than cannabis for the duration of their study participation.
Experimental Visits.
Participants attended two 5-hour experimental visits that were separated by at least 48 hours to eliminate any possible carryover effects of cannabis exposure. Participants were transported to and from the clinical research facility via taxi so that they were not at risk of driving while intoxicated after completing study procedures. Upon arrival at the clinical research facility, participants were assessed for compliance with study requirements, including a reading of exhaled carbon monoxide (CO)<=10 parts per million (ppm) to ensure recent smoking abstinence, continued eligibility with inclusion/exclusion criteria, and any adverse events (AEs) that occurred since the preceding visit.
Approximately 20 minutes prior to cannabis administration, pre-cannabis smoking measures were collected, including blood pressure and heart rate, a blood sample, and self-report measures (see Measures). A line was drawn on the cannabis cigarette (containing ~800mg of cannabis) at the estimated 50% mark using a fine-tip black marker. Cannabis cigarettes were smoked by participants using a Paced Inhalation Procedure: 5 seconds to prepare for inhalation, 5 seconds to inhale, 10 seconds to hold smoke in the lungs, followed by exhalation, and a 40 second interval prior to the next prepare/inhale/hold cycle, until the 50% mark was reached (Foltin et al., 1987). Each cigarette was weighed before and after the Paced Inhalation Procedure to quantify the total amount of cannabis cigarette smoked. Beginning approximately 10 minutes after the initiation of cannabis smoking, post-cannabis smoking measures were collected, including blood pressure and heart rate, exhaled carbon monoxide, a blood sample, and self-report measures.
Approximately 30 minutes after the initiation of cannabis smoking, participants were given a 5-minute ad libitum period to smoke one of their own brand of tobacco cigarette that was placed in the mouthpiece of a portable Clinical Research Support System (CReSS; Borgwaldt KC, Inc; North Chesterfield, VA) puff topography device. Immediately after tobacco cigarette smoking, post-tobacco cigarette smoking measures were collected, including blood pressure and heart rate, exhaled CO, a blood sample, and self-report measures. Each tobacco cigarette was weighed before and after ad libitum smoking.
At approximately 30-minute intervals for the next 2.5 hours after tobacco cigarette smoking, blood pressure and heart rate, exhaled CO, and self-report measures were collected. Approximately 3 hours after cannabis administration, participants were evaluated for discharge. Participants who did not show evidence of significant intoxication via the Field Sobriety Assessment and did not have abnormal vitals were sent home via taxi.
Compensation.
Participants received $50 for the in-person screening visit, $100 for completing the first experimental visit, and $150 for completing the second experimental visit. The total amount of possible compensation was $300.
Measures
Measures to Characterize the Sample.
At the screening visit, participants completed self-report measures on demographics, tobacco and cannabis use history and current use patterns, and nicotine dependence via the Fagerström Test of Nicotine Dependence (FTND) (Heatherton et al., 1991). Participants’ past-month cannabis and tobacco cigarette use frequency and quantity, and use of other substances (non-cigarette tobacco, alcohol, non-cannabis illicit and prescription drugs) were assessed via the TLFB method.
Outcome Measures
Tobacco Cigarette Puff Topography.
The CReSS puff topography device recorded the number of puffs taken, puff volume (ml), puff duration (sec), maximum puff velocity (ml/sec), and inter-puff-interval (sec) for one of the participants’ own brand of tobacco cigarette smoked at each experimental visit. Total puff volume was calculated from the sum of puff volume over all puffs of the one cigarette, and was a priori defined as the primary outcome measure.
Exhaled CO.
Exhaled CO was used as a measure of inhalation of tobacco (and cannabis) smoke, collected via a Vitalograph CO detector (Lenexa, KS), and measured in parts per million (ppm). CO was measured before and after smoking of each product and at 30-minute intervals, until 150 minutes after tobacco cigarette smoking ended.
Plasma Nicotine and THC.
Three blood samples (approximately 7 mL each) were collected approximately 20 minutes prior to cannabis administration, approximately 5 minutes after cannabis smoking ended, and immediately after tobacco cigarette smoking. Samples were analyzed for plasma nicotine and THC. Briefly, sample levels of nicotine were determined using liquid chromatography tandem mass spectrometry (LC-MS/MS) preceded by a validated extraction method in plasma (Cappendijk et al., 2010; Spindle et al., 2018). THC was determined using 0.250 mL aliquot that was subjected to a protein precipitation extraction with cold acetonitrile. Following vortex mixing and centrifugation, the supernatant was then transferred, evaporated in a Speedvac and reconstituted with acetonitrile prior to LC-MS/MS analysis (Poklis et al., 2010). The linear range for nicotine and THC was 2–75 ng/mL and 1–100 ng/mL, respectively.
Tobacco Smoking Craving.
The 10 items of the Questionnaire of Smoking Urge – Brief version (QSU-Brief) (Cox et al., 2001) were scored on a 7-point Likert scale from 1 (strongly disagree) to 7 (strongly agree), and were averaged to yield two subscale scores (Desire to Smoke and Relief from Negative Affect) and a total score. The QSU was administered pre- and post- cannabis smoking, immediately following tobacco cigarette smoking, and post-tobacco cigarette smoking at 30-minute intervals, until 150 minutes after tobacco cigarette smoking ended.
Cannabis and Tobacco Cigarette Subjective Effects.
Immediately before and after cannabis smoking, a 6-item questionnaire assessed subjective effects related to cannabis. At the top of the questionnaire were instructions for participants to rate the “marijuana you just smoked” and items of “I feel strong drug effects,” “I like the drug effects,” “I want to smoke more of the marijuana I just smoked,” “I feel good drug effects,” “I feel bad drug effects,” and “Do you think the marijuana you just smoked was strong or weak marijuana?” rated on a 100mm visual analog scale. Immediately before and after tobacco cigarette smoking, a 6-item questionnaire assessed tobacco cigarette subjective effects. At the top of the questionnaire were instructions for participants to rate the “tobacco cigarette you just smoked” and items of “I feel the drug effects,” “I like the drug effects,” “I am content,” “I want to smoke more cigarettes,” “I feel good drug effects,” and “I feel bad drug effects” rated on a 100mm visual analog scale. Subjective effects related to nicotine and to cannabis were assessed at 30-minute intervals, until 150 minutes after tobacco cigarette smoking ended. Instructions differed by timing of assessment (e.g., before smoking of either substance, participants were instructed to rate how they were feeling “right now”) and by substance (e.g., after tobacco cigarette smoking, participants were instructed to rate how they were feeling about the tobacco cigarette they just smoked). Immediately after tobacco cigarette smoking, the Duke Sensory Questionnaire (DSQ; Behm & Rose, 1994) and Cigarette Evaluation Scale (CES; Westman et al., 1992) also assessed tobacco cigarette subjective effects.
Data Analysis.
Puff topography data were cleaned according to manufacturer guidelines: puffs shorter than 200 milliseconds or less than 15mL in volume were removed. Total puff volume, the primary outcome of the trial, was calculated from the sum of the volumes of all cigarette puffs taken by participants during each experimental visit. As normality cannot reliably be assumed, a non-parametric Wilcoxon signed-rank test was used to test differences in total puff volume from smoking the single tobacco cigarette after smoking active vs. placebo marijuana.
Other puff topography measures (e.g., number of puffs, puff duration, mean puff velocity) as well as change in exhaled CO, plasma nicotine concentration, tobacco craving, and subjective effects were considered secondary outcomes. Secondary outcomes were also analyzed using paired T-tests and Wilcoxon signed rank tests. For measures with pre-smoking assessments, we analyze the change in post-smoking values from pre-smoking (i.e., cannabis or tobacco smoking, depending on the measure). We used an alpha of 0.05 for all hypothesis tests. Due to the exploratory nature of this study and the small sample size, we do not address the multiplicity issue in secondary analyses. As in most clinical trials, we did not power for all secondary outcomes, including correction for multiple comparisons. Statistical significance of findings on secondary outcomes should be considered as suggestive, rather than confirmation, of an effect. Analysis was conducted in Stata version 15 (Stata Statistical Software: Release 15, 2017).
Results
Participants.
Of 160 individuals who were screened by telephone for inclusion into the study, 123 (77%) were ineligible and two were eligible but not interested in participating. The most common reasons for ineligibility were smoking an average of < 5 tobacco cigarettes per day, smoking marijuana < 19 days/month, and planning to quit tobacco smoking. Of the 35 individuals who were eligible and interested in participating, 23 (66%) were determined to be not eligible at in-person screening or did not show for the screening visit. Twelve participants enrolled in the study, of whom 3 did not complete because of positive urine drug test for non-cannabis illicit drugs, exhaled CO > 10 ppm, or BAC > 0.020% at the start of scheduled experimental visits.
Table 1 presents the characteristics of the nine participants who completed the study. The sample was mostly African American and relatively evenly split with regard to sex (5/9 male); the mean age was approximately 35 years [standard deviation (SD) = 8.5]. Participants used cannabis daily, used a mean of 2.2 grams (SD=1.2) of cannabis per day, and 5/9 participants reported smoking cannabis within 30 minutes of waking. All participants reported that smoking was their primary mode of cannabis use, although other modes of use in the past 30 days included vaporizing (3/9 participants), eating (2/9), and dabbing (1/9). Participants were daily cigarette smokers who smoked approximately 14 cigarettes per day (SD=8.2) and had a mean FTND score of 4.9 (SD=2.8); 7 of 9 participants smoked menthol cigarettes.
Table 1.
Participant Characteristics (N=9).
Characteristic | Frequency or Mean (Standard Deviation) |
---|---|
Sex (Male) | 5/9 |
Age (years) | 35.2 (8.5) |
Race | |
White Only | 1/9 |
African American Only | 6/9 |
Other/More than One Race | 2/9 |
Ethnicity (Frequency Non-Hispanic) | 9/9 |
Education (Frequency High School Diploma/GED or higher) | 9/9 |
Employment (Frequency Full-Time) | 3/9 |
Tobacco Cigarette Smoking (Frequency Menthol) | 7/9 |
Tobacco Cigarettes per Day | 14.1 (8.2) |
Fagerström Test of Nicotine Dependence Score | 4.9 (2.8) |
Cannabis Use | |
Days of Use a | 29.9 (0.3) |
Grams of Cannabis per Day a | 2.2 (1.2) |
Primary mode of consumption (Frequency Smoke) | 9/9 |
Co-administer cannabis and tobacco (e.g., blunt; spliff) (Frequency)a | 9/9 |
Note.
Within past 30 days.
Cannabis Administration.
The pre-post difference in the weight of the cannabis cigarette was 0.43 g in the active condition and 0.38 g in the placebo condition. As expected, cannabis-related outcomes differed between active and placebo cannabis conditions, including boost in plasma THC levels (difference between pre- and post-cannabis smoking) (active boost: mean (M)= 57.4 ng/mL; SD=35.5 vs. placebo boost: mean = 0.01 ng/mL; SD=0.77), and cannabis-related subjective effects immediately after cannabis smoking, such as “Do you think the marijuana you just smoked was strong or weak marijuana?” (active: mean (M) = 58.3; SD=30.4 vs. placebo: M=27.6; SD=23.3), “I feel strong drug effects” (active: mean (M) = 64.7; SD=29.4 vs. placebo: M=36.7; SD=32.2), “I like the drug effects” (active: mean (M) = 77.7; SD=26.6 vs. placebo: M=35.8; SD=27.1), and “I feel good drug effects” (active: mean (M) = 76.9; SD=25.2 vs. placebo: M=39.0; SD=32.2).
Intensity of Tobacco Cigarette Smoking.
Figure 1 presents each individual participant’s cumulative total puff volume (primary outcome) over the 5-minute ad libitum period of smoking one of his/her own brand of tobacco cigarette. As can be seen in Figure 1, every possible permutation of outcomes was observed; that is, some participants appeared to have no difference in cumulative total puff volume of the tobacco cigarette between the two cannabis conditions, some appeared to show that cumulative total puff volume was greater in the active cannabis condition, and others appeared to show that it was lower in the placebo cannabis condition. Thus, there was substantial inter-individual heterogeneity in cumulative total puff volume, and consistent with this heterogeneity, there was no significant difference in this primary outcome measure between active and placebo conditions, and there were high standard deviations of the mean values (Table 2). There were no significant differences between the active and placebo cannabis conditions in other cigarette puff topography measures, biomarkers of tobacco-related exposure (i.e., exhaled carbon monoxide and plasma nicotine), or weight of the cigarette smoked for participants’ own brand of tobacco cigarette (Table 2).
Figure 1.
Per-Participant Cumulative Puff Volume of the Tobacco Cigarette, Active vs. Placebo Cannabis. Each panel represents each participant’s cumulative puff volume of the tobacco cigarette over the 5minute ad libitum period. PC=puff count, TPV=total puff volume, MPV=mean puff volume, IPI=inter-puff-interval.
Table 2.
Intensity of Tobacco Cigarette Smoking, Active vs. Placebo Cannabis (N=9).
Outcome | Active Cannabis M (SD) | Placebo Cannabis M (SD) | Difference M (SD) | Wilcoxon Signed-Rank Test p-value |
---|---|---|---|---|
Total puff volume (mL) | 1817 (1267) | 1450 (682) | 367 (384) | 0.21 |
Total puff duration (sec) | 34.3 (12.0) | 36.3 (15.2) | −2.0 (3.3) | 0.86 |
Mean puff velocity (mL/sec) | 50.3 (23.7) | 40.4 (8.2) | 10.4 (6.5) | 0.11 |
Mean puff volume (mL) | 102.3 (86.2) | 87.8 (43.7) | 14.4 (27.5) | 0.44 |
Number of puffs | 20.1 (9.0) | 17.7 (6.9) | 2.4 (1.8) | 0.29 |
Mean inter-puff interval | 13.7 (5.0) | 16.4 (8.0) | −2.7 (2.4) | 0.59 |
Time to first puff (sec) | 17.6 (10.0) | 27.7 (58.8) | −10.1 (19.3) | 0.14 |
Boost in exhaled carbon monoxide (ppm)a | 5.1 (5.3) | 5.1 (3.3) | 0.0 (4.0) | 0.91 |
Boost in plasma nicotine (ng/mL)b | 5.07 (2.73) | 6.26 (1.71) | −1.19 (3.77) | 0.35 |
Weight of tobacco cigarette smoked (g) | 0.55 (0.05) | 0.56 (0.08) | 0.00 (0.07) | 0.86 |
Change in heart rate (BPM) after cannabis smoking | 10.4 | 0.9 | 9.6 | 0.998 |
Change in heart rate (BPM) after tobacco cigarette smokinga | 1.8 | 3.3 | −1.5 | 0.64 |
Change in MAP (mmHg) after cannabis smoking | 1.8 | 3.3 | −1.5 | 0.68 |
Change in MAP (mmHg) after tobacco smokinga | 4.5 | 0.7 | 3.7 | 0.26 |
Note. There were no significant differences between active and placebo cannabis conditions. BPM=beats per minute; M=mean; MAP=mean arterial pressure (1/3*Systolic + 2/3*Dyastolic), mmHg=millimeters of mercury, SD=standard deviation.
Change in heart rate, MAP, and carbon monoxide boost was calculated as the difference between pre- and post-tobacco cigarette smoking levels..
Boost was calculated as the difference between pre- and post-tobacco cigarette smoking levels. Nicotine boost was based on 5 participants that had plasma nicotine before and after smoking the tobacco cigarette for both active and placebo cannabis.
Tobacco Craving.
QSU-Brief scores after cannabis smoking did not differ between active and placebo cannabis conditions, nor did they differ between condition at any timepoint after tobacco cigarette smoking (results not shown).
Tobacco Cigarette Subjective Effects.
There were significant unadjusted differences between active and placebo cannabis conditions for two subjective effects (“liking” and “feeling good effects”) related to the tobacco cigarette. However, after adjusting for pre-tobacco smoking levels, the changes in subjective effects of tobacco smoking after cannabis smoking were not significant. Scores on the DSQ and CES-D immediately after tobacco cigarette smoking did not differ between active and placebo cannabis conditions (results not shown).
Discussion
The overall finding of this placebo-controlled, double-blind, within-subjects human laboratory study was that tobacco cigarette smoking behavior and subjective effects associated with tobacco cigarette smoking did not differ after smoking active vs. placebo cannabis.
Analysis of tobacco cigarette smoking topography data demonstrated no significant overall differences in common topography-related measures of the reinforcing effects of cigarette smoking. However, cursory analysis of aggregate differences between active and placebo conditions suggests numerically large effects on several metrics, as well as substantial between-participant variability, as indicated by high standard deviations of the means (Table 2). Visual analysis of individual participant-level data on tobacco cigarette smoking topography, as displayed in Figure 1, illustrate that the lack of overall differences in puff topography may be the result of variations in tobacco cigarette smoking behavior between active and placebo conditions. Puff topography measures during ad libitum tobacco cigarette smoking are highly reliable (Perkins et al., 2012), and given the rigorous experimental control established in this study, these data suggest smoked cannabis produces a potentially genuine but variable effect on tobacco smoking. The observed variability in the effect of smoked cannabis on smoked tobacco could indicate that such effects may not be primarily pharmacological in nature, but may be driven by more nuanced and complex mechanisms involving learning as well as pharmacological processes (Henningfield et al., 1983).
The overall lack of change in intensity of smoking behavior is consistent with similar prior studies that found that smoked cannabis had no significant effect on indices of tobacco cigarette smoking intensity, such as quantity of cigarettes smoked or the topographical dimensions of cigarette smoking (Mello et al., 1980; Mello & Mendelson, 1985; Nemeth-Coslett et al., 1986). However, they are not consistent with the prior study by Kelly et al. (1990) that showed that smoked cannabis 1) significantly decreased the number of tobacco cigarettes smoked per day by delaying the initiation of ad libitum tobacco smoking immediately following experimenter-administered cannabis, and 2) significantly decreased tobacco cigarette inter-puff intervals in a manner unrelated to the timing of tobacco cigarette smoking relative to cannabis administration. This inconsistency may be because participants in the Kelly et al. (1990) study smoked active and placebo cannabis cigarettes four times each day during 10–15 day residential periods, while participants in the current study smoked a single active or placebo cannabis cigarette in one session in each experimental condition.
Co-users of cannabis and tobacco frequently use cannabis, then tobacco cigarettes, in a sequential pattern within an occasion, i.e., they “chase” smoked cannabis with a tobacco cigarette (Ream et al., 2008), perhaps because smoking tobacco after cannabis may increase the positive subjective effects (“high”) from cannabis (Lipperman-Kreda & Lee, 2011). To our knowledge, no research has examined a different aspect of this behavioral phenomenon of “chasing” – whether smoking tobacco after cannabis can affect the subjective effects from tobacco. Results showed that, at some timepoints, the item for “liking” the effect of the tobacco cigarette, and the item for “feeling good effects” of the tobacco cigarette, appeared higher after smoking active vs. placebo cannabis, but were not significantly different after adjusting for pre-tobacco smoking levels. Given our study’s small sample size, however, future clinical studies may test other subjective effects (e.g., mood) and may test subjective effects through more objective means, such as choice tasks. As one prior study revealed sex differences in nicotine’s enhancement of cannabis-related subjective effects (Penetar et al., 2005), future research may investigate potential sex differences in the impact of cannabis on tobacco-related abuse liability. In this study, we chose to assess the subjective effects associated with the more proximal substance smoked, as participants with regular use of both cannabis and tobacco were thought to be experienced in distinguishing the effects of each. It is possible, though, that the effects of the tobacco cigarette might have been conflated with the effects of cannabis, and the tendency to use both simultaneously or in close proximity might actually impede the ability to distinguish the effects of each. Also tempering this finding is that study questionnaires were not reviewed with participants prior to the first session; thus, participants may not have understood the questionnaire items. Although the study design aimed to maximize both experimental control and real-world validity in a parsimonious design, a placebo control for nicotine exposure would have helped clarify the time course of the subjective effects of cannabis alone vs. cannabis plus tobacco.
Smoking of cannabis and of tobacco was the focus of the present investigation because smoking remains the most common mode of using both substances (Agaku et al., 2014; Schauer et al., 2016), and smoking is the most common mode of cannabis use among tobacco smokers (Singh et al., 2016). Nonetheless, other modes of cannabis use (e.g., vaporized; edible) are proliferating, perhaps due to the evolution of state-based cannabis policy in the US, in which 11 states and the District of Columbia have voted to allow adult legal use of cannabis, and 33 states and the District of Columbia have voted to allow medical use of cannabis. Future studies are needed to examine the relative impact of different modes of cannabis use on tobacco-related outcomes. At the same time that state-based cannabis policy is changing in the US, the US Food and Drug Administration intends to set product standards to reduce the nicotine content in cigarettes to a minimally- or non-addictive level, with the goals of promoting smoking cessation and preventing smoking initiation (Gottlieb & Zeller, 2017). One future study could test the impact of cannabis on smoking of very low nicotine content cigarettes, and vice versa, as a way of modeling the predicted reciprocal impact of changing policies for both cannabis and nicotine. Finally, increased understanding of the mechanisms explaining how cannabis may impede tobacco cessation are needed to inform future smoking cessation interventions.
Strengths of the current study include its placebo-controlled within-subject design that confers experimental rigor, its assessment of both objective and subjective measures of tobacco-related outcomes, its inclusion of female participants, and its examination of adult daily co-users of cannabis and tobacco, a subpopulation that is growing in the US (Goodwin et al. 2018). The most significant limitation is its small sample size. Another limitation is the strength of THC in the active cannabis condition. The THC content in this study (5.2% THC) was higher than in previous similar studies (Mello et al., 1980; Nemeth-Coslett et al., 1986; Kelly et al., 1990), and did elicit robust effects on cannabis-related outcomes, but it is lower than the average potency of THC in recreational cannabis in the US (~12% THC) (ElSohly et al., 2016). Our study entailed ad libitum smoking of one tobacco cigarette and did not examine how active cannabis might exert an effect on quantity of cigarettes smoked, an index of smoking intensity positively associated with adverse health effects. Participants’ smoking of the tobacco cigarette via the puff topography device, i.e., smoking the cigarette differently than they would in their usual environments, may have affected study outcomes. Co-administration of tobacco and cannabis via blunts and/or spliffs was common in this sample, and results may not be replicated in a sample that does not frequently co-administer cannabis and tobacco. The study was predicated on the notion that the association between cannabis smoking and tobacco smoking is driven by THC delivery, but other cannabinoids or components of cannabis smoke could be involved. Finally, our results capture only the very next tobacco cigarette after cannabis smoking; there may be more prolonged effects of cannabis smoking that impact tobacco smoking.
Daily cannabis users represent a growing proportion of US adult tobacco cigarette smokers (Goodwin et al., 2018). In this study of adult daily co-users of cannabis and tobacco cigarettes, smoked cannabis did not change the intensity of tobacco cigarette smoking or subjective effects associated with tobacco cigarette smoking. In light of observed between-participant heterogeneity in the tobacco cigarette smoking behavior after smoking active cannabis, future studies may further examine the complexity in factors explaining the strong overlap between cannabis and tobacco smoking.
Public Health Statements:
This study adds to a limited literature on how cannabis use impacts tobacco smoking outcomes. This clinical study shows that there may be variability between people in the way that smoked cannabis affects tobacco cigarette smoking.
Disclosures and Acknowledgements
This research was supported by the Battelle Independent Research and Development Program. Part of this research (Halquist and Poklis) was funded through the Central Virginia Drug of Abuse Research, a NIDA funded center P30DA033934-05S1). The funding sources had no role other than financial support.
The authors thank the National Institute on Drug Abuse for supplying the cannabis cigarettes.
Footnotes
All authors contributed in a significant way to the manuscript, and all authors have read and approved the final manuscript.
Dr. Peters currently receives salary from a medical cannabis company. Dr. Herrmann has received salary and consulting fees from medical cannabis companies. All other authors have no conflicts of interest to declare.
References
- Agaku IT, King BA, Husten CG, Bunnell R, Ambrose BK, Hu SS, Holder-Hayes E, … Centers for Disease Control and Prevention. (2014). Tobacco product use among adults--United States, 2012–2013. MMWR. Morbidity and Mortality Weekly Report, 63(25):542–547. [PMC free article] [PubMed] [Google Scholar]
- Agrawal A, Madden PA, Bucholz KK, Heath AC, & Lynskey MT (2008). Transitions to regular smoking and to nicotine dependence in women using cannabis. Drug and Alcohol Dependence, 95(1–2):107–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Akbar SA, Tomko RL, Salazar CA, Squeglia LM, & McClure EA (2019). Tobacco and cannabis co-use and interrelatedness among adults. Addictive Behaviors, 90:354–361. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Azofeifa A, Mattson ME, Schauer G, McAfee T, Grant A, & Lyerla R. (2016). National estimates of marijuana use and Related indicators - National Survey on Drug Use and Health, United States, 2002–2014. MMWR. Morbidity and Mortality Weekly Report, 65(11):1–28. [DOI] [PubMed] [Google Scholar]
- Becker J, Schaub MP, Gmel G, & Haug S. (2015). Cannabis use and other predictors of the onset of daily cigarette use in young men: what matters most? Results from a longitudinal study. BMC Public Health, 15:843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Behm FM, & Rose JE (1994). Reducing craving for cigarettes while decreasing smoke intake using capsaicin-enhanced low-tar cigarettes. Experimental and Clinical Psychopharmacology, 2:143–153. [Google Scholar]
- Cappendijk SL, Pirvan DF, Miller GL, Rodriguez MI, Chalise P, Halquist MS, & James JR (2010). In vivo nicotine exposure in the zebra finch: a promising innovative animal model to use in neurodegenerative disorders related research. Pharmacology, Biochemistry, and Behavior, 96(2):152–159. [DOI] [PubMed] [Google Scholar]
- Chait LD, & Griffiths RR (1983). Effects of caffeine on cigarette smoking and subjective response. Clinical Pharmacology and Therapeutics, 34(5):612–22. [DOI] [PubMed] [Google Scholar]
- Cooper ZD, & Haney M. (2014). Investigation of sex-dependent effects of cannabis in daily cannabis smokers. Drug and Alcohol Dependence, 136:85–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cox LS, Tiffany ST, & Christen AG (2001). Evaluation of the brief questionnaire of smoking urges (QSU-brief) in laboratory and clinical settings. Nicotine & Tobacco Research, 3(1):7–16. [DOI] [PubMed] [Google Scholar]
- ElSohly MA, Mehmedic Z, Foster S, Gon C, Chandra S, Church JC (2016). Changes in cannabis potency over the last 2 decades (1995–2014): Analysis of current data in the United States. Biologocal Psychiatry, 79(7):613–619. [DOI] [PMC free article] [PubMed] [Google Scholar]
- First MB, Williams JBW, Karg RS, Spitzer RL (2015). Structured Clinical Interview for DSM-5 - Research Version. Arlington, VA: American Psychiatric Association. [Google Scholar]
- Foltin RW, Fischman MW, Pedroso JJ, & Pearlson GD (1987). Marijuana and cocaine interactions in humans: cardiovascular consequences. Pharmacology, Biochemistry, and Behavior, 28(4):459–464. [DOI] [PubMed] [Google Scholar]
- Goodwin RD, Pacek LR, Copeland J, Moeller SJ, Dierker L, Weinberger A, Gbedemah M, … Hasin DS (2018). Trends in daily cannabis use among cigarette smokers: United States, 2002–2014. American Journal of Public Health, 108(1):137–142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gottlieb S, & Zeller M. (2017). A nicotine-focused framework for public health. New England Journal of Medicine, 377(12):1111–1114. [DOI] [PubMed] [Google Scholar]
- Gourlay SG, Forbes A, Marriner T, Pethica D, & McNeil JJ (1994). Prospective study of factors predicting outcome of transdermal nicotine treatment in smoking cessation. BMJ, 309(6958):842–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heatherton TF, Kozlowski LT, Frecker RC, & Fagerstrom KO (1991). The Fagerstrom Test for Nicotine Dependence: A revision of the Fagerstrom Tolerance Questionnaire. British Journal of Addiction, 86(9):1119–1127. [DOI] [PubMed] [Google Scholar]
- Henningfield JE, Chait LD, & Griffiths RR (1983). Cigarette smoking and subjective response in alcoholics: effects of pentobarbital. Clinical Pharmacology and Therapeutics, 33(6):806–12. [DOI] [PubMed] [Google Scholar]
- Henningfield JE, & Griffiths RR (1981). Cigarette smoking and subjective response: effects of d-amphetamine. Clinical Pharmacology and Therapeutics, 30(4):497–505. [DOI] [PubMed] [Google Scholar]
- Herrmann ES, Cooper ZD, Bedi G, Ramesh D, Reed SC, Comer SD, Foltin RW, & Haney M. (2019). Varenicline and nabilone in tobacco and cannabis co-users: effects on tobacco abstinence, withdrawal and a laboratory model of cannabis relapse. Addiction Biology, 24(4):765–776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jamal A, Phillips E, Gentzke AS, Homa DM, Babb SD, King BA, & Neff LJ (2018). Current Cigarette Smoking Among Adults - United States, 2016. MMWR. Morbidity and Mortality Weekly Report, 67(2):53–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kelly TH, Foltin RW, Rose AJ, Fischman MW, & Brady JV (1990). Smoked marijuana effects on tobacco cigarette smoking behavior. Journal of Pharmacology and Experimental Therapeutics, 252(3):934–944. [PubMed] [Google Scholar]
- Lipperman-Kreda S, & Lee JP (2011). Boost Your high: Cigarette smoking to enhance alcohol and drug effects among Southeast Asian American youth. Journal of Drug Issues, 41(4):509–522. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mello NK, & Mendelson JH (1985). Operant acquisition of marihuana by women. Journal of Pharmacology and Experimental Therapeutics, 235(1), 162–171. [PubMed] [Google Scholar]
- Mello NK, Mendelson JH, Sellers ML, & Kuehnle JC (1980). Effect of alcohol and marihuana on tobacco smoking. Clinical Pharmacology and Therapeutics, 27(2):202–209. [DOI] [PubMed] [Google Scholar]
- Nemeth-Coslett R, Henningfield JE, O’Keeffe MK, & Griffiths RR (1986). Effects of marijuana smoking on subjective ratings and tobacco smoking. Pharmacology, Biochemistry, and Behavior, 25(3):659–665. [DOI] [PubMed] [Google Scholar]
- Pacek LR, Copeland J, Dierker L, Cunningham CO, Martins SS, & Goodwin RD (2018). Among whom is cigarette smoking declining in the United States? The impact of cannabis use status, 2002–2015. Drug and Alcohol Dependence, 191:355–360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Patton GC, Coffey C, Carlin JB, Sawyer SM, & Lynskey M. (2005). Reverse gateways? Frequent cannabis use as a predictor of tobacco initiation and nicotine dependence. Addiction, 100(10):1518–25. [DOI] [PubMed] [Google Scholar]
- Penetar DM, Kouri EM, Gross MM, McCarthy EM, Rhee CK, Peters EN, & Lukas SE (2005). Transdermal nicotine alters some of marihuana’s effects in male and female volunteers. Drug and Alcohol Dependence, 79(2):211–223. [DOI] [PubMed] [Google Scholar]
- Perkins KA, Karelitz JL, Giedgowd GE, & Conklin CA (2012). The reliability of puff topography and subjective responses during ad lib smoking of a single cigarette. Nicotine & Tobacco Research, 14(4):490–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Poklis JL, Thompson CC, Long KA, Lichtman AH, & Poklis A. (2010). Disposition of cannabichromene, cannabidiol, and Delta(9)-tetrahydrocannabinol and its metabolites in mouse brain following marijuana inhalation determined by high-performance liquid chromatography-tandem mass spectrometry. Journal of Analytical Toxicology, 34(8):516–520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rabin RA, & George TP (2015). A review of co-morbid tobacco and cannabis use disorders: Possible mechanisms to explain high rates of co-use. American Journal on Addictions, 24(2):105–116. [DOI] [PubMed] [Google Scholar]
- Ream GL, Benoit E, Johnson BD, & Dunlap E. (2008). Smoking tobacco along with marijuana increases symptoms of cannabis dependence. Drug and Alcohol Dependence, 95(3):199–208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robinson SM, Sobell LC, Sobell MB, & Leo GI (2014). Reliability of the Timeline Followback for cocaine, cannabis, and cigarette use. Psychology of Addictive Behaviors, 28(1):154–162. [DOI] [PubMed] [Google Scholar]
- Roll JM, Higgins ST, & Tidey J. (1997). Cocaine use can increase cigarette smoking: evidence from laboratory and naturalistic settings. Experimental and Clinical Psychopharmacology, 5(3):263–8. [DOI] [PubMed] [Google Scholar]
- Schauer GL, Berg CJ, Kegler MC, Donovan DM, & Windle M. (2015). Assessing the overlap between tobacco and marijuana: Trends in patterns of co-use of tobacco and marijuana in adults from 2003–2012. Addictive Behaviors, 49:26–32. [DOI] [PubMed] [Google Scholar]
- Schauer GL, King BA, Bunnell RE, Promoff G, & McAfee TA (2016). Toking, vaping, and eating for health or fun: Marijuana use patterns in adults, U.S., 2014. American Journal of Preventive Medicine, 50(1):1–8. [DOI] [PubMed] [Google Scholar]
- Shiffman S, & Sayette MA (2005). Validation of the nicotine dependence syndrome scale (NDSS): A criterion-group design contrasting chippers and regular smokers. Drug and Alcohol Dependence, 79(1):45–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Singh T, Kennedy SM, Sharapova SS, Schauer GL, & Rolle IV (2016). Modes of ever marijuana use among adult tobacco users and non-tobacco users-Styles 2014. Journal of Substance Use, 21(6):631–635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Spindle TR, Talih S, Hiler MM, Karaoghlanian N, Halquist MS, Breland AB, Shihadeh A,& Eissenberg T. (2018). Effects of electronic cigarette liquid solvents propylene glycol and vegetable glycerin on user nicotine delivery, heart rate, subjective effects, and puff topography. Drug and Alcohol Dependence, 188:193–199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stapleton JA, Keaney F, & Sutherland G. (2009). Illicit drug use as a predictor of smoking cessation treatment outcome. Nicotine & Tobacco Research, 11(6):685–9. [DOI] [PubMed] [Google Scholar]
- Stata Statistical Software: Release 15 [computer program] (2017). College Station, TX: StataCorp LLC. [Google Scholar]
- Tidey JW, O’Neill SC, & Higgins ST (2000). d-amphetamine increases choice of cigarette smoking over monetary reinforcement. Psychopharmacology (Berl), 153(1):85–92. [DOI] [PubMed] [Google Scholar]
- Timberlake DS, Haberstick BC, Hopfer CJ, Bricker J, Sakai JT, Lessem JM, & Hewitt JK (2007). Progression from marijuana use to daily smoking and nicotine dependence in a national sample of U.S. adolescents. Drug and Alcohol Dependence, 88(2–3):272–81. [DOI] [PubMed] [Google Scholar]
- Westman EC, Levin ED, Rose JE (1992). Smoking while wearing the nicotine patch: Is smoking satisfying or harmful? Clinical Research, 40:871–880. [Google Scholar]
- Wilhelm J, Abudayyeh H, Perreras L, Taylor R, Peters EN, Vandrey R, Hedeker D, Mermelstein R, & Cohn A. (2020). Measuring the temporal association between cannabis and tobacco use among co-using young adults using ecological momentary assessment. Addictive Behaviors, 104:106250. [DOI] [PMC free article] [PubMed] [Google Scholar]