Abstract
Background
Although increasing rates of cannabis use and cannabis use disorder (CUD) are well-documented among veterans, little is known about their use of cannabis specifically for medicinal purposes. The present study characterizes such use and compares veterans reporting cannabis use for medicinal (n = 66) versus recreational (n = 77) purposes on (a) sociodemographic factors, (b) psychiatric disorders (posttraumatic stress disorder [PTSD], major depressive disorder [MDD], and CUD), (c) other substance use, (d) reasons for cannabis use and cannabis-related problems, and (e) physical and mental health.
Methods
Participants were veterans deployed post 9/11/2001 recruited from a Veterans Health Administration (VHA) facility (N = 143; mean [SD] age = 30.0 [6.6]; mean [SD] deployments = 1.7 [1.1]) who reported past-year cannabis use.
Results
The most frequently endorsed conditions for medicinal cannabis (MC) use were anxiety/stress, PTSD, pain, depression, and insomnia. In logistic regression analyses adjusted for frequency of cannabis use, MC users were significantly more likely (OR = 3.16) to meet criteria for PTSD than recreational cannabis (RC) users. Relative to RC users, MC users reported significantly greater motivation for using cannabis to cope with sleep disturbance as well as significantly poorer sleep quality and worse physical health.
Conclusions
Veterans who use cannabis for medicinal purposes differ significantly in sleep, physical and mental health functioning than veterans who use cannabis for recreational purposes. PTSD and sleep problems may be especially relevant issues to address in screening and providing clinical care to returning veterans who are using cannabis for medicinal purposes.
Keywords: medical marijuana, cannabis, sleep, PTSD, veteran
1. Introduction
With the majority of US states having adopted legislation to medically and/or recreationally legalize cannabis, the already high prevalence of cannabis use (Hasin et al., 2015) is expected to further increase nationwide, especially among existing users (Hall & Lynskey, 2016; Pacula & Lundberg, 2014). States that allow the legal use of cannabis for medicinal purposes have higher rates of cannabis use and cannabis use disorder (CUD) in national survey data (Cerdá, Wall, Keyes, Galea, & Hasin, 2012) and specifically within the Veterans Health Administration (VHA; Bonn-Miller, Harris, & Trafton, 2012). Veteran advocacy groups have been created to further veterans’ rights to access cannabis for medical (MC) purposes and discuss its use with their VHA providers (for e.g., “http://www.vetscp.org/#,” 2017). There are also published reports that veterans perceive cannabis to be a low-risk or safe substance unlike other drugs of abuse (Wilkinson, van Schalkwyk, Davidson, & D’Souza, 2016) and expect cannabis to provide relief from symptoms of combat-related trauma (Earleywine & Bolles, 2014). However, there has been little research on the patterns and correlates of MC use specifically among veterans.
Growing research indicates that rates of cannabis use and CUD are particularly elevated among veterans with post-traumatic stress disorder (PTSD) and major depressive disorder (MDD; Bonn-Miller et al., 2012; Goldman et al., 2010). These individuals are particularly likely to use cannabis as a means of coping with negative affect and with sleep disturbances (Boden, Babson, Vujanovic, Short, & Bonn-Miller, 2013; Bremner, Southwick, Darnell, & Charney, 1996; Earleywine & Bolles, 2014; Farris, Zvolensky, Boden, & Bonn-Miller, 2014; Gentes et al., 2016; Metrik et al., 2016). Non-veteran research also identifies cannabis use as an emotion-regulatory strategy to reduce or manage perceived aversive psychological and mood states (Bonn-Miller, Vujanovic, Boden, & Gross, 2011; Bonn-Miller, Vujanovic, Feldner, Bernstein, & Zvolensky, 2007; Buckner & Zvolensky, 2014; Bujarski, Norberg, & Copeland, 2012; Farris, Metrik, Bonn-Miller, Kahler, & Zvolensky, 2016; Metrik, Kahler, McGeary, Monti, & Rohsenow, 2011; Simons, Gaher, Correia, Hansen, & Christopher, 2005). However, although such sleep and emotion regulation motives are commonly endorsed reasons for non-MC use among veterans in general, little is known about potential differences in motives among veterans using MC relative to those using cannabis recreationally (RC) for non-medical reasons.
Motivation for MC use has been examined in non-veteran populations (Lin, Ilgen, Jannausch, & Bohnert, 2016), with the most commonly endorsed reasons for use being pain, anxiety, and sleep problems (Babson, Boden, & Bonn-Miller, 2013; Belendiuk, Baldini, & Bonn-Miller, 2015; Bonn-Miller, Boden, Bucossi, & Babson, 2014; Ilgen et al., 2013; Nunberg, Kilmer, Pacula, & Burgdorf, 2011; Walsh et al., 2013). Besides pain management, relief of anxiety, especially PTSD, appears to be a prevalent motive for MC use in community samples (Bohnert et al., 2014; Bonn-Miller, Babson, & Vandrey, 2014; Bonn-Miller, Boden, et al., 2014; Greer, Grob, & Halberstadt, 2014; Walsh et al., 2016) and among veterans (Davis et al., 2016; Loflin, Earleywine, & Bonn-Miller, 2017). Indeed, PTSD is now recognized as a qualifying condition by the majority of states permitting legal access medicinal cannabis. Sleep disturbance, particularly in conjunction with PTSD, is associated with more frequent and more problematic use of cannabis in non-veteran samples (Babson et al., 2013; Bonn-Miller, Babson, et al., 2014; Bonn-Miller, Boden, et al., 2014) and with frequent cannabis use and CUD among veterans (Metrik et al., 2016). Thus, MC use may be driven by specific motives for use that are interrelated with certain comorbid conditions (PTSD, sleep disorders) that are particularly prevalent in veteran populations.
Medical dispensary patients also report using cannabis as a substitute for prescription medication and for alcohol (Nunberg et al., 2011; Reiman, 2007), with the most common motives for using cannabis instead of alcohol or illicit or prescription drugs being fewer perceived side effects, better symptom management (Perron, Bohnert, Perone, Bonn-Miller, & Ilgen, 2015; Reiman, 2007; Troutt & DiDonato, 2015), and decreased severity of withdrawal with cannabis (Reiman, 2009). Indeed, the vast majority of MC patients self-report at least moderate symptom relief across all conditions (Bonn-Miller, Boden, et al., 2014; Walsh et al., 2013; Zaller, Topletz, Frater, Yates, & Lally, 2015). Preliminary prospective research found a 42% reduction in use of prescribed opiates over three-months following the initiation of MC treatment (Gruber et al., 2016). Yet, cannabis used specifically for pain management among MC users is significantly associated with past history of more severe substance use patterns including use of alcohol, illicit drugs, and non-prescribed pain relievers (Perron et al., 2015; Reiman, 2007; Zaller et al., 2015).
In contrast to the growing literature on MC use, only a few non-veteran studies explicitly compared MC and RC users on cannabis-related behaviors and motives. MC users were found to have poorer health but lower levels of alcohol and drug use disorders relative to RC users (excluding CUD; Lin et al., 2016). Compared to RC users, MC users have reported lower frequency of alcohol and drug problems during a visit to the emergency department (Woodruff & Shillington, 2016) and primary care clinic (Roy-Byrne et al., 2015). Among MC users, patients with state legal access to cannabis had lower rates of other substance use relative to cannabis users without access to MC who might have used cannabis recreationally (Richmond et al., 2015).
To date, there has been little research on MC use in veteran populations, with only one study differentiating between MC and RC use in veterans (Loflin et al., 2017). Findings from this online survey of veterans recruited from a pro-marijuana legalization listserv showed that MC users had more PTSD symptoms and greater combat exposure than RC veterans as well as lower levels of alcohol use. Veteran research can greatly inform federal and state cannabis-related policies, which are in constant flux yet shifting towards more tolerant practices regarding MC use within the VHA. These policies are especially relevant to returning veterans from the Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn (OEF/OIF/OND) conflicts, as they have endured high stress levels due to their military experiences (combat exposure) and post-deployment reintegration problems (e.g., financial, family, unemployment; Brenner et al., 2015; Wilcox et al., 2015). Like non-veteran MC users, OEF/OIF/OND soldiers, particularly those with PTSD, also report poor general health and increased somatic symptoms such as chronic pain (Gironda, Clark, Massengale, & Walker, 2006; Spiro, Hankin, Mansell, & Kazis, 2006), greater medical services utilization (Cohen et al., 2010; Kim, Thomas, Wilk, Castro, & Hoge, 2010) and worse sleep (Capaldi, Guerrero, & Killgore, 2011; Lavie, Katz, Pillar, & Zinger, 1998; Lew et al., 2009; Mysliwiec et al., 2013). Anecdotal reports indicate returning veterans also use cannabis as a substitute for other prescribed and non-prescribed substances and may perceive cannabis to be less harmful than opioids (Krawitz, 2015). Cannabis use also increases the perception of poor health above and beyond cigarette smoking and other relevant factors (Bonn-Miller, Zvolensky, Leen-Feldner, Feldner, & Yartz, 2005). Therefore, both actual and perceived poor health combined with increasingly favorable attitudes towards cannabis among veterans (Wilkinson et al., 2016) may further increase the likelihood of OIF/OEF/OND veterans seeking MC.
In summary, use of MC within the VHA is a growing clinical issue. However, there is a dearth of studies differentiating MC versus RC use patterns and correlates in veterans, despite their disproportionately higher rates of PTSD, anxiety, sleep, and chronic pain diagnoses relative to the general population (Alexander et al., 2016; Lew et al., 2009; Magruder et al., 2005; Van Den Kerkhof, Carley, Hopman, Ross-White, & Harrison, 2014). The present study has two aims. First, we describe the characteristics and motives for past-year MC use in a sample of returning veterans. Second, we compare past-year MC versus RC users on socio-demographic factors and diagnostic characteristics, substance use, motives for cannabis use, and physical and mental health variables. MC use was determined by veteran self-report of using cannabis for medicinal purposes, regardless of whether a veteran possessed a medical marijuana registration card. Frequency of marijuana use was covaried in these analyses because MC users typically endorse daily or almost daily patterns of use (Lin et al., 2016; Walsh et al., 2013). We hypothesized that MC veteran users would endorse more salient coping and sleep cannabis use motives relative to RC users as a means of coping with psychiatric and medical conditions. These comparisons between MC and RC users can inform the development of future VHA policy as well as current screening, assessment and clinical practices with OIF/OEF/OND veterans.
2. Material and Methods
2.1 Sample and Procedure
Data were drawn from a larger ongoing prospective study examining cannabis use and affective disorders in returning OEF/OIF/OND veterans who were deployed post 9/11/2001 and who used cannabis at least once in his/her lifetime. Participants were recruited from a VHA facility in the Northeast US (see Metrik et al., 2016, for details of recruitment procedures), with all participants residing in a state with medical marijuana laws. Veterans were screened for eligibility by telephone and were invited for a baseline visit, at which time they signed informed consent and completed a battery of interview and self-report assessments. The study was approved by the university and local VHA Institutional Review Boards. Participants were compensated $50 upon completion of the study session. Analyses were completed on the subsample of participants who reported any use of cannabis in the past year (n = 143). The sample was predominantly male (93%) with a mean age of 30.0 (SD=6.6) years. Most participants identified as White (78.7%), followed by Black/African American (4.3%), American Indian/Alaskan Native (0.7%), and Multiracial/other (14.2%) with 14.7% also identifying as Hispanic/Latino. The majority of participants were employed (67.8%) and single/separated/divorced (66.5%), with 33.6% married or living with a partner. On average, participants had been deployed 1.7 times (SD=1.1) with their most recent deployment occurring on average 4.3 years ago (SD=2.6).
2.2 Measures
2.2.1 Characteristics of medicinal cannabis users
Participants were classified as a MC user (n = 66) if they endorsed ever using cannabis for medicinal purposes (i.e., less than monthly, monthly, weekly, daily or almost daily) on The Medical Marijuana Patient Questionnaire (MMPQ; N. L. Cohen, Heinz, Ilgen, & Bonn-Miller, 2016). Participants responded to a modified MMPQ, which retained three original items determining the duration of MC use, the condition(s) for which participants used MC, and perceived effectiveness of MC, as well as 7 new items developed for this study on legal access to medical marijuana (i.e., registration card), experience and/or plans in discussing using medical marijuana with a doctor, and conventional and alternative treatments tried (e.g., prescription medication, physical therapy, counseling). Next, MC users completed the Reasons for Medical Marijuana Questionnaire (RFUMM; Reinarman, Nunberg, Lanthier, & Heddleston, 2011), rating on a 1 = “almost never/never” to 5 = “almost always/always” scale how often they used medical marijuana for each of 25 reasons (e.g., to relieve pain; to improve sleep). Items on anger and PTSD and cannabis as a substitute for another drug were added (25-item scale: α = .88).
Participants were classified as a RC user (n = 77) if they responded never using marijuana for medicinal purposes and not needing medical marijuana for any conditions. Participants who stated they did not need medical marijuana for any conditions (first item on the MMPQ) were prompted to skip the rest of the MMPQ and did not complete the RFUMM.
2.2.2 Demographic Information
Demographic and background information, such as sex, ethnicity, marital status, employment, branch of service, location and number of deployments (OEF/OIF/OND) was collected on all participants at baseline and verified through the VHA Computerized Patient Record System (CPRS).
2.2.3 Psychiatric Diagnoses
The Clinician Administered PTSD Scale for DSM-IV (CAPS; Blake et al., 1995) is a semi-structured interview for assessing lifetime and past-month DSM-IV PTSD diagnosis. Participants were scored for frequency (score ≥ 1) and intensity (score ≥ 2) of symptoms using established diagnostic guidelines (Weathers, Keane, & Davidson, 2001). Participants were assigned a lifetime and past-month dichotomous diagnosis score.
Structured Clinical Interview for DSM Non-Patient Edition (SCID-NP) was used to determine diagnosis of lifetime and past-month DSM-5 MDD (First, Spitzer, Gibbon, & Williams, 2002). DSM-5 diagnosis of lifetime and past-year CUD was also determined with the SCID-NP based on endorsement of 2+ of 11 symptoms). With the release of DSM-5 (American Psychiatric Association, 2013), legal problems diagnostic criterion was excluded and items assessing cannabis withdrawal and craving were included.
2.2.4 Cannabis use and other substance use related variables
The Time-Line Follow-Back (TLFB; Dennis, Funk, Godley, Godley, & Waldron, 2004; Sobell & Sobell, 1992) covered the 6 months prior to the visit and was used to determine percent of cannabis use days and percent of cannabis, other drug use, alcohol, heavy drinking days (gender-adjusted for 5/4 drinks) and number of drinks per week in the past month. The TLFB is a calendar-assisted structured interview, which provides a way to cue memory to enhance recall accuracy. The TLFB interview is established as a psychometrically sound retrospective method for assessing alcohol use (Sobell & Sobell, 1992) and cannabis use (Dennis et al., 2004).
Cannabis-related problems were assessed with the Marijuana Problems Scale (MPS; Stephens, Roffman, & Curtin, 2000), a self-report 22-item questionnaire that evaluates cannabis-related problems experienced in the past 90 days (α = .89).
The Comprehensive Marijuana Motives Questionnaire (CMMQ; Lee, Neighbors, Hendershot, & Grossbard, 2009). All participants rated on a 1 = “almost never/never” to 5 = “almost always/always” scale how often they used cannabis for each of 36 reasons; three items per subscale were used to derive a mean composite score for 12 different motives (α’s: .77 to 90).
2.2.5 Physical and mental health characteristics
The Pittsburgh Sleep Quality Index (PSQI; Buysse, Reynolds, Monk, Berman, & Kupfer, 1989) is a psychometrically sound self-report questionnaire for assessing sleep quality and disturbances over a one-month period (Carpenter & Andrykowski, 1998). The PSQI scale score (summed across seven component scores) ranges from 0 = “indicating no difficulty” to 21 = “indicating severe difficulty in all sleep areas”. A global PSQI score > 5 indicates poor sleep quality.
The RAND 36-Item Short Form Health Survey (SF-36; Hays & Morales, 2001) is a health-related quality of life measure of physical and mental health. Items were scored from 0 to 100 and were averaged across subscales to form physical (α = .92) and mental health (α = .91) summary scores.
The Perceived Stress Scale (PSS; Cohen, Kamarck, & Mermelstein, 1983) is a summed scale score across four items measuring perception of life stress, with items ranging from 0 = “never” to 4 = “very often” (α = .85).
The Satisfaction with Life Scale (SWLS; Diener, Emmons, Larsen, & Griffin, 1985) is a summed scale score across five items measuring participants’ judgments regarding their life satisfaction, with items ranging from 1 = “strongly disagree” to 7 = “strongly agree” (α = .86).
3. Results
3.1 Characteristics of medicinal cannabis users
As shown in Table 1, only about a quarter of MC veterans reported obtaining a state-issued medical marijuana card. The most frequently endorsed conditions for which the majority of the participants sought medicinal cannabis were anxiety, PTSD, chronic pain, depression, stress, and insomnia (see Table 1).
Table 1.
n | % | |
---|---|---|
Do you have a qualifying medical condition that would make you eligible to receive medical marijuana in your state? | ||
• Yes | 41 | 62.1 |
• I do not know whether my medical condition would make me eligible | 16 | 24.2 |
• I do not have a medical condition that would make me eligible but think medical marijuana would help me with a problem | 9 | 13.6 |
| ||
M | SD | |
| ||
How long have you been using marijuana for medicinal purposes? | ||
• Years | 3.39 | 5.47 |
• Months | 1.27 | 2.30 |
| ||
n | % | |
| ||
How often have you used marijuana for medicinal purposes? | ||
• Less than monthly | 2 | 3.0 |
• Monthly | 6 | 9.1 |
• Weekly | 16 | 24.2 |
• Daily or almost daily | 42 | 63.6 |
| ||
Have you ever obtained a medical marijuana registration card? | ||
• Yes | 16 | 24.2 |
• No | 50 | 75.8 |
| ||
If no, have you before or are you now considering obtaining a medical marijuana card? | ||
• Definitely will not obtain | 1 | 2.0 |
• Probably will not obtain | 2 | 4.0 |
• Not sure | 10 | 20.0 |
• Probably will obtain | 19 | 38.0 |
• Definitely will obtain | 18 | 36.0 |
| ||
Have you ever discussed the possibility of using medical marijuana (using marijuana for medicinal purpose) with your doctor (check all that apply)? | ||
• Yes and my doctor agreed that I would benefit from medical marijuana | 24 | 36.4 |
• Yes and my doctor said that I would not benefit from medical marijuana | 2 | 3.0 |
• No because I know s/he will not be willing to consider medical marijuana in my treatment | 10 | 15.2 |
• No because I do not think I would be eligible for the medical marijuana program in my state | 5 | 7.6 |
• No but plan to do so in the near future | 21 | 31.8 |
• No but plan to seek another doctor who would discuss the medical marijuana option with me | 9 | 13.6 |
• No because I do not want to get in trouble and/or have this discussion negatively affect my benefits and services at the VA | 17 | 25.8 |
| ||
What condition(s) have led you to seek out medicinal marijuana (i.e., what is it prescribed for; check all that apply)?* | ||
• Anxiety | 49 | 74.2 |
• PTSD | 43 | 65.2 |
• Chronic pain | 41 | 62.1 |
• Depression | 41 | 62.1 |
• Stress | 39 | 59.1 |
• Insomnia | 37 | 56.1 |
• Headaches | 29 | 43.9 |
• Nightmares | 23 | 34.8 |
• Appetite | 20 | 30.3 |
• Muscle spasms | 21 | 31.8 |
• Nausea | 14 | 21.2 |
| ||
How well has the use of marijuana helped your condition? | ||
• Not at all | 1 | 1.5 |
• A little bit | 1 | 1.5 |
• Moderately | 7 | 10.6 |
• Quite a bit | 23 | 34.8 |
• Extremely | 34 | 51.5 |
| ||
Have you tried any of the following treatments for your medical condition (choose all that apply)? | ||
• Prescription medications | 53 | 80.3 |
• Counseling | 45 | 68.2 |
• Physical therapy | 39 | 59.1 |
• Chiropractic | 19 | 28.8 |
• Acupuncture | 13 | 19.7 |
• Therapeutic injection | 10 | 15.2 |
• Surgery | 7 | 10.6 |
• Other | 5 | 7.6 |
• Homeopathy | 3 | 4.5 |
• None, do not need any treatment | 2 | 3.0 |
| ||
Have you ever used marijuana obtained by someone else with their medical card? | ||
• No, no need, I have my own medical marijuana card | 12 | 18.2 |
• No, I use marijuana from other sources | 25 | 37.9 |
• Not sure | 16 | 24.2 |
• Yes, I have used it but only a few times | 8 | 12.1 |
• Yes, I use it regularly | 5 | 7.6 |
Notes. Questions in italics were from The Medical Marijuana Patient Questionnaire.
Includes conditions for which at least 10% of the sample endorsed using cannabis. Less than 10% reported using for the following conditions: HIV/AIDS, glaucoma, cancer, seizures, gastrointestinal problems (e.g., Crohn’s disease, gastroparesis, ulcerative colitis), epilepsy, hepatitis C, multiple sclerosis, Lyme disease, degenerative disc disease, and pain pills.
On the RFUMM, MC users reported using cannabis most frequently to improve sleep (M = 4.0; SD = 1.3) and relaxation (M = 4.0; SD = 1.2), to relieve PTSD (M = 3.9; SD = 1.5), anxiety (M = 3.6; SD = 1.4), pain (M = 3.44; SD = 1.5), and depression (M = 3.35; SD = 1.5), to prevent PTSD (M = 3.6; SD = 1.6) and anger (M = 3.1; SD = 1.6), and as a substitute for prescription medication (M = 3.4; SD = 1.6), for alcohol (M = 2.6; SD = 1.7), and for another drug (M = 1.9; SD = 1.6).
3.2 Comparisons between MC and RC users
The two groups did not significantly differ by age (p =.33), sex (p =.12), race (p=.42), ethnicity (p=.88), marital status (p=.25), employment (p = .08), number of deployments (p=.63), or last deployment (p=.07). Table 2 presents comparisons between MC and RC users in analyses that were conducted in two ways. First, to facilitate comparison with other similar studies comparing MC and RC use, we did not statistically adjust for frequency of cannabis use. As shown in Table 2, MC users were five times more likely to have a current diagnosis of PTSD and almost four times more likely to have current diagnosis of MDD than RC users (unadjusted for frequency of cannabis use). MC users were also more than three times more likely to meet criteria for current CUD and endorse significantly more cannabis-related problems than RC users. With respect to cannabis-use motives, MC users reported using cannabis more frequently than RC users for enjoyment, coping, social anxiety, relative low risk, and sleep. Relative to MC users, RC users reported alcohol was more often a motive for cannabis use and reported greater number of alcohol use days on the TLFB. MC users reported worse sleep quality than RC users on the PSQI and scored significantly lower than RC users on the Satisfaction with Life scale and the physical health and mental health summary scales of the SF-36.
Table 2.
Medicinal Users (n = 66) |
Recreational Users (n = 77) |
Unadjusted for frequency of use | Adjusted for frequency of use | |||
---|---|---|---|---|---|---|
| ||||||
n (%) | n (%) | X2 | OR | B | OR | |
Diagnoses | ||||||
PTSD, current | 22 (33.3) | 7 (09.1) | 12.92*** | 5.00 | 1.15* | 3.16 |
PTSD, lifetime | 33 (50.0) | 19 (24.7) | 9.85** | 3.05 | 0.85* | 2.33 |
MDD, current | 22 (33.3) | 9 (11.7) | 9.81** | 3.78 | 0.89 | 2.42 |
MDD, lifetime | 47 (71.2) | 44 (57.1) | 3.04 | 1.85 | 0.24 | 1.28 |
CUD, current | 34 (51.5) | 19 (24.7) | 10.98** | 3.24 | 0.16 | 1.17 |
CUD, lifetime | 46 (69.7) | 37 (48.1) | 6.84** | 2.49 | 0.23 | 1.26 |
| ||||||
M (SD) | M (SD) | t-test | d | F | η2 | |
| ||||||
% of cannabis use days past 6 months | 64.49 (37.17) | 20.82 (33.65) | 7.37*** | 1.23 | – | – |
% of cannabis use days in past month | 70.10 (39.22) | 19.83 (35.38) | 8.06*** | 1.35 | – | – |
% of alcohol use days in past month | 14.49 (23.32) | 31.86 (30.90) | 3.74*** | 0.63 | 5.48* | .04 |
% heavy drinking days in past month | 7.73 (20.53) | 16.41 (23.78) | 2.32* | 0.39 | 2.51 | .02 |
No. of alcohol drinks/week, past month | 5.62 (12.42) | 11.86 (14.11) | 2.79** | 0.47 | 2.78 | .02 |
% of drug use days in past montha | 3.23 (13.13) | 4.76 (16.38) | 0.61 | 0.10 | 1.60 | .01 |
Cannabis-related problems | 2.85 (4.07) | 1.61 (2.65) | 2.18* | 0.36 | 0.48 | .00 |
Reasons for using cannabis | ||||||
Enjoyment | 3.55 (1.11) | 3.15 (1.26) | 1.10* | 0.34 | 0.05 | .00 |
Conformity | 1.24 (0.51) | 1.40 (0.77) | 1.44 | 0.24 | 0.18 | .00 |
Coping | 2.28 (1.11) | 1.73 (1.12) | 2.94** | 0.49 | 0.64 | .00 |
Experimentation | 1.66 (0.91) | 1.89 (1.00) | 1.40 | 0.24 | 0.00 | .00 |
Boredom | 2.23 (1.23) | 2.23 (1.18) | 0.00 | 0.00 | 1.45 | .01 |
Alcohol | 1.33 (0.52) | 1.97 (1.11) | 4.33*** | 0.74 | 7.62** | .05 |
Celebration | 2.32 (1.17) | 2.28 (1.23) | 0.21 | 0.03 | 0.65 | .00 |
Altered perception | 2.45 (1.29) | 2.20 (1.23) | 1.21 | 0.20 | 0.42 | .00 |
Social anxiety | 2.26 (1.17) | 1.67 (1.04) | 3.22** | 0.53 | 1.40 | .01 |
Relative low risk | 2.82 (1.42) | 2.07 (1.12) | 3.51** | 0.58 | 3.71 | .02 |
Sleep | 3.51 (1.16) | 2.16 (1.32) | 6.47*** | 1.09 | 17.05*** | .09 |
Availability | 2.36 (1.26) | 2.72 (1.20) | 1.75 | 0.29 | 3.89 | .03 |
SF-36 physical health score | 63.28 (21.74) | 73.73 (18.67) | 3.09** | 0.52 | 4.09* | .03 |
SF-36 mental health score | 49.80 (23.60) | 61.62 (22.06) | 3.09** | 0.52 | 2.87 | .02 |
Global PSQI score | 10.97 (4.00) | 9.08 (4.12) | 2.77** | 0.47 | 2.95 | .02 |
Perceived Stress Scale | 7.24 (1.87) | 7.05 (1.71) | 0.64 | 0.11 | 0.01 | .00 |
Satisfaction with Life Scale | 15.68 (6.8) | 18.42 (7.46) | 2.27* | 0.38 | 1.25 | .01 |
Notes. PTSD = posttraumatic stress disorder, MDD = major depressive disorder, CUD = cannabis use disorder; All individuals who met criteria for a current diagnosis have also met criteria for a lifetime diagnosis for a given disorder; Heavy drinking days = four or more drinks per day for females and five or more drinks per day for males;
= past month drug use was endorsed by 14 medicinal cannabis users and 14 recreational cannabis users;
p < .05,
p < .01,
p < .001.
As expected, MC users reported using cannabis more frequently than RC users, with 64% endorsing daily or nearly daily use (compared to 21% for RC users). Therefore, we conducted comparisons that controlled for frequency of cannabis use in the past 6 months. As can be seen in Table 2, logistic regressions revealed that MC users remained significantly more likely to have a current (OR = 3.16) and lifetime diagnosis of PTSD (OR = 2.33). Analysis of Covariance (ANCOVAs) controlling for cannabis use frequency revealed that MC users reported significantly lower percent of alcohol use days but not on percent of heavy drinking days or drinks consumed per week on the TLFB, compared to RC users. Regarding cannabis use motives, significant group differences were evident for sleep (greater use of cannabis to manage sleep by MC users) and alcohol use (greater use of cannabis when under the influence of alcohol by RC users). ANCOVAs comparing groups on physical and mental health indicated that MC users reported significantly worse physical health on the SF-36 relative to RC users.
4. Discussion
To our knowledge, this is the first study to compare MC and RC users in a sample of veterans enrolled in a VHA facility. Results indicated that the most frequently endorsed conditions for MC use were anxiety, stress, PTSD, pain, depression, and insomnia. Consistent with findings from non-veteran studies, this veteran study demonstrated that MC users endorsed worse physical and mental health functioning relative to RC users. MC users were three times more likely to meet criteria for PTSD than RC users, adjusting for frequency of cannabis use, which varied across the two groups. As hypothesized, the greatest difference between MC and RC users was found for sleep as the reason for cannabis use. Furthermore, this difference remained and was one of the two significantly different motives (in addition to alcohol motives) when adjusting for frequency of use.
Mental health concerns were highly prevalent in this veteran sample, in contrast to previous findings identifying pain as the most prevalent qualifying condition among non-veteran MC users (see Walsh et al., 2016 for review). Specifically, more MC users endorsed anxiety and PTSD (74% and 65%) than chronic pain (62%) and other psychological conditions (depression 62%, stress 59%, and insomnia 56%). As mentioned above, sleep emerged as one of the most important motives for MC use, along with using for relaxation reasons and to relieve PTSD. This is consistent with other studies (Babson et al., 2013; Davis et al., 2016), indicating that sleep motives are the most robust significant mediating factor underlying the relations between both PTSD with cannabis use and increased risk of CUD (Metrik et al., 2016).
Furthermore, MC users were more likely to meet criteria for current and lifetime diagnosis of PTSD than RC users. One prior online survey of veterans similarly demonstrated that, relative to RC users, MC users endorsed more PTSD symptoms on a PTSD screening checklist, reported greater combat exposure, and greater subjective arousal to items on the PTSD screen (Loflin et al., 2017). These findings are not surprising given the high prevalence of PTSD among veterans using cannabis and with increasing number of MC users endorsing PTSD symptoms and/or history of trauma (Bohnert et al., 2014; Bonn-Miller, Babson, et al., 2014; Bonn-Miller, Boden, et al., 2014; Davis et al., 2016; Greer et al., 2014; Walsh et al., 2016). Although controlled evidence on effectiveness of MC as PTSD treatment is currently lacking, preliminary research indicates cannabinoid receptor agonists to have beneficial effects in terms of relief from PTSD symptoms (Fraser, 2009; Jetly, Heber, Fraser, & Boisvert, 2015; Roitman, Mechoulam, Cooper-Kazaz, & Shalev, 2014). Clearly, data from clinical trials is needed to help clarify whether cannabis helps relieve PTSD symptoms or whether it iatrogenically maintains some aspects of PTSD (e.g., avoidance, sleep disruptions). Evidence in support of the endocannabinoid system’s therapeutic potential in the modulation of stress response (Volkow, Hampson, & Baler, 2016) may help stimulate the sorely lacking empirical research on the use of cannabis for psychological distress and sleep problems.
Additional findings regarding MC users are worth noting, especially in the context of acquiring and using cannabis. For example, although 62% of MC users reported having a medical condition that would qualify them for a medical marijuana registration card in their state, only 24% reported having obtained one. One possible explanation for this discrepancy that we can posit from our data is that nearly 26% of MC users reported that they refrained from discussing medical cannabis with their doctor out of concern that doing so may get them into trouble and/or negatively affect their benefits and services at the VA. Veterans also indicated they can more easily access cannabis from a source that does not require a state-issued medical card (38%) or that they obtained cannabis from someone else who had a medical marijuana card (19.7%). Factors contributing to this may include prohibitive costs of maintaining a medical marijuana registration or higher prices of cannabis sold legally in dispensaries than on the black market. Future qualitative research might help explicate the nature of this incongruity.
As increasing numbers of mental health care providers encounter veterans who use cannabis, many may be concerned about the risk of misuse of cannabis and other substances. Consistent with national sample data (Lin et al., 2016), our findings suggest that while cannabis-related problems and CUD were more prevalent among MC users relative to RC users, none of these differences remained significant in analyses controlling for cannabis use frequency. With respect to other substance use, MC users reported lower frequency of alcohol use, as compared to RC users. This finding is consistent with other studies reporting lower alcohol problem severity and lower frequency of drug use in MC users relative to non-medical cannabis users (Lin et al., 2016; Loflin et al., 2017; Roy-Byrne et al., 2015; Woodruff & Shillington, 2016). Groups differed specifically in terms of the frequency of alcohol consumption but were similar in terms of quantity of alcohol used once frequency of cannabis use was controlled in the analyses. Furthermore, alcohol was the only significant cannabis-use motive more frequently endorsed by RC relative to MC users in the analyses adjusted for frequency of cannabis use. Consistent with the finding on higher frequency of alcohol use, alcohol-intoxication motives (e.g., using cannabis “because you were under the influence of alcohol”) reflect greater prevalence of problem alcohol use among RC as compared to MC users. Of note, while MC users reported using cannabis at least half of the time or more as a substitute for prescription medication, they did not use it as a substitute for alcohol or other drugs as often (only “some of the time” or less). These findings are consistent with other studies indicating significant history of past alcohol, drug and prescription substance use and misuse among MC users (Ashrafioun, Bohnert, Jannausch, & Ilgen, 2015; Nunberg et al., 2011; O’Connell & Bou-Matar, 2007; Perron et al., 2015; Reiman, 2007; Walsh et al., 2013; Zaller et al., 2015), with evidence from other studies (reviewed in Walsh et al., 2016) suggesting cannabis is often effectively used as a harm-reduction strategy to substitute for alcohol, opiates, and other drugs (Lucas et al., 2013, 2016). For example, among Canadian medical cannabis dispensary patients, over 36% were found to report using cannabis as a substitute for illicit drugs, 41% reported using cannabis as a substitute for alcohol, and nearly 68% reported using cannabis as a substitute for prescription drugs (Lucas et al., 2013). The most commonly endorsed reasons for substituting cannabis for the above substances included the belief that cannabis led to less withdrawal, produced fewer side effects, and provided better symptom management.
Recommendations for substance use disorder (SUD) treatment providers of veterans using MC in VHA and seeking SUD treatment are limited due to the dearth of clinical trials on the impact of MC use on the effectiveness of addiction treatment combined with equivocal findings on the effect of cannabis on alcohol and drug treatment. Specifically, some studies do not find negative impact of cannabis on treatment retention or compliance with opiate maintenance therapy (Epstein & Preston, 2003; Hill et al., 2013) or smoking cessation (Metrik, Spillane, Leventhal, & Kahler, 2011), yet cannabis has been implicated in worse outcomes in opiate (Wasserman, Weinstein, Havassy, & Hall, 1998) and alcohol (Mojarrad, Samet, Cheng, Winter, & Saitz, 2014; Subbaraman, Metrik, Patterson, & Swift, 2017) treatments. Future longitudinal studies and controlled research specifically examining the role of MC use on treatment of other SUDs is needed to help elucidate its impact on addiction treatment. Another implication of these findings is the need for more innovative treatment solutions for veterans with PTSD and sleep disturbance who may be turning to cannabis in search of relief of their symptoms. Many of the individuals with PTSD and CUD comorbidity do not have access to evidence-based integrated trauma-focused and CUD treatment (Roberts, Roberts, Jones, & Bisson, 2015; Vujanovic, Bonn-Miller, & Petry, 2016). Furthermore, although MC users cited improving sleep as a central reason to use cannabis, both MC and RC users had endorsed clinically significant poor sleep quality, as measured by the PSQI, despite their use of cannabis in efforts to address insomnia and sleep disturbances. The current study did not examine variability in sleep patterns and sleep problems (e.g., difficulty falling asleep, difficulty staying asleep, nightmares,) that may be particularly salient to MC users. Additional research in this area is needed to better inform treatment interventions. Meanwhile, treatments such as CBT for insomnia (CBT-I) should be routinely available to veterans who may derive greater benefit from this behavioral strategy than resorting to using cannabis with its known adverse effects on health, cognitive, and psychological functioning (Hall & Degenhardt, 2014). Finally, VHA providers should expect an increase in the number of veterans seeking voluntary treatment for CUD, as more cannabis users now seek treatment since the legalization of MC use (Hall & Lynskey, 2016). Therefore, routine screening or assessment for cannabis use and CUD in the VHA is recommended, particularly in the context of assessing for sleep problems and trauma-related symptoms. At a minimum, researchers and clinicians should not be combining cannabis use with other illicit drugs of abuse in terms of screening and treatment recommendations.
Several study limitations warrant mention. As with many veteran samples, a small number of female veterans limited the generalizability of our findings to female veterans who are using the VHA for health care services. The caveat to our and other similar cross-sectional findings (see Walsh et al., 2016 for review) is that these data cannot establish precedence of cannabis versus other substances or whether MC use leads to subsequent reductions in alcohol or other illicit or prescribed substances, or whether sleep problems amount to increased MC use or vice versa. Planned longitudinal analyses of the larger parent study will indeed help clarify the putative relationship between these variables and MC use in this veteran sample. Next, characterizing MC and RC groups as mutually exclusive categories does not take into account the nuance and complexity of using cannabis for reasons that can be viewed as both medicinal and recreational. Future studies might need to utilize a continuous index of the proportion of use for medicinal and recreational purposes and account for differences across states and jurisdictions in their definitions of medical use of cannabis. Next, it is possible that responding to the questionnaires specific to medicinal cannabis use could have influenced responses on the subsequent MPS assessing cannabis-related problems for the MC users. Finally, the study was explicitly focused on examining differences between MC and RC users in terms of the presence of PTSD and MDD diagnoses, the two psychiatric disorders that are most prevalent among the returning veterans. However, comorbidity with other anxiety disorders (e.g., Generalized Anxiety Disorder) may be important to investigate in future comparisons between MC and RC users. In conclusion, our findings suggest research on MC use in veterans needs to continue. Additionally, although the line between cannabis use for medicinal and recreational reasons may often be blurred (Reinarman et al., 2011), current findings help identify motivations underlying medicinal cannabis use among veterans. Future research can further resolve and address specific needs of veterans seeking medicinal cannabis, which could inform mental health treatment within the VHA.
Public Significance Statements.
The most common conditions for medicinal cannabis (MC) use among returning veterans were anxiety/stress, PTSD, pain, depression, and insomnia, with sleep being a more important reason for cannabis use among MC users than recreational cannabis (RC) users. MC users were more likely to have PTSD diagnosis yet used alcohol less frequently than RC users.
Acknowledgments
Funding for this research, data analysis, and manuscript preparation was supported by National Institute on Drug Abuse grant R01 DA033425 to Drs. Metrik and Borsari, National Institute on Alcohol Abuse and Alcoholism grant K02 AA021761 to Dr. Jackson, and National Institute on Drug Abuse grant K01DA039311 to Dr. Aston. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs. The authors gratefully acknowledge Cassandra Tardif, Rebecca Swagger, Madeline Benz, Hannah Wheeler, Suzanne Sales, and Julie Evon for their contribution to the project.
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