Impact of Cannabis Use During Stabilization on Methadone Maintenance Treatment Illicit drug use, particularly of cannabis, is common among opiate-dependent individuals, and has the potential to CBD Oil And Methadone The widespread use of heroin and prescription opioids in the United States during the past decade has resulted in an unprecedented epidemic of opioid addiction, and few
Impact of Cannabis Use During Stabilization on Methadone Maintenance Treatment
Illicit drug use, particularly of cannabis, is common among opiate-dependent individuals, and has the potential to impact treatment in a negative manner.
To examine this, patterns of cannabis use prior to and during methadone maintenance treatment (MMT) were examined to assess possible cannabis-related effects on MMT, particularly during methadone stabilization. Retrospective chart analysis was used to examine outpatient records of patients undergoing MMT (n=91), focusing specifically on past and present cannabis use and its association with opiate abstinence, methadone dose stabilization, and treatment compliance.
Objective rates of cannabis use were high during methadone induction, dropping significantly following dose stabilization. History of cannabis use correlated with cannabis use during MMT, but did not negatively impact the methadone induction process. Pilot data also suggested that objective ratings of opiate withdrawal decrease in MMT patients using cannabis during stabilization.
Conclusions and Scientific Significance
The present findings may point to novel interventions to be employed during treatment for opiate dependence that specifically target cannabinoid-opioid system interactions.
Methadone maintenance treatment (MMT) is an opiate agonist pharmacotherapy prescribed for opiate-dependent individuals as a means of extinguishing illicit opiate use and reducing associated risk behaviors 1, 2 . Initiation on methadone maintenance treatment is a federally regulated process that requires slow and careful titration of methadone dosing to avoid risk of overmedication. Dose titration proceeds through initiation, induction, and stabilization phases prior to reaching a maintenance phase 3–5 . The initial period of methadone dose stabilization is one of particular vulnerability to relapse due to the persistence of low-moderate grade opiate withdrawal and associated stress during dose titration 6–10 . Non-opiate illicit drug use often persists during the early phases of treatment for opiate dependence 11–18 , promoted at least in part by the experience of withdrawal and craving. There is a limited amount of research focused on the impact of continued non-opiate substance use on methadone dose titration and overall treatment compliance.
Cannabis (marijuana) is commonly used in combination with heroin or oral opiates, in addition to other substances such as cocaine and benzodiazepines 19–21 . In several studies of non-opiate illicit drug use in opiate-dependent individuals, rates of cannabis use were shown to remain high during treatment for opiate dependence 15, 22–25 . Several groups have investigated the impact of cannabis use on various measures of treatment outcome and success, such as retention in treatment or compliance 16, 23–28 . However, very limited research has focused specifically on the impact of cannabis exposure during the process of methadone dose titration (referred to herein as methadone induction) and the early stabilization phase. The present study sought to examine the trends in cannabis use of individuals during the early phases of MMT initiation in order to test the hypothesis that cannabis use may impact illicit drug use, and subsequently methadone stabilization. Based on findings from experimental models of opiate dependence, it is hypothesized that the use of cannabinoids, via its interaction with the opioid system, may impact opioid signaling in the brain 29–36 . Multiple groups have reported synergy between cannabinoids and opiates when administered concurrently 10, 37–40 . The present study attempted to investigate whether similar evidence of cannabinoid-opioid interactions can be found in the clinical setting among treatment-seeking opiate-dependent individuals. The authors hypothesized that cannabis use may increase during dose titration, and that this elevated use may impact methadone induction and stabilization on MMT. Additionally, associations between pre-treatment history of opiate and cannabis use were examined as they relate to methadone dosing and titration, and illicit drug use during treatment.
2. Materials and Methods
The data presented in this retrospective study were collected from outpatient charts belonging to individuals enrolled in the Narcotic Addiction Rehabilitation Program (NARP) at Thomas Jefferson University in Philadelphia, PA. This urban, publicly funded and university-sponsored clinic offers medication-assisted treatment and intensive outpatient programs for opiate dependence. Criteria for admission to treatment included a minimum of one-year documented history of opiate use, being at least 18 years of age, and a positive opiate urine drug screen (UDS) at admission. Approximately 365 individuals were enrolled in NARP at any given point in time over the past decade. This study was approved by the Institutional Review Board of Thomas Jefferson University.
2.1. Sample Criteria
Criteria for study inclusion were a minimum of nine months in treatment and the presence of the following data in the outpatient chart: monthly urinary drug screen results, treatment compliance (daily attendance), and medical intake evaluation information. In order to capture data from the weeks both prior to and immediately following methadone dose stabilization, the time in treatment criteria was established at a minimum of nine months. Charts were sampled from individuals that were enrolled in NARP between December 1, 2005 and July 1, 2009 (approximately 500 in total). The authors collected and analyzed data from all criteria-meeting patients that had at least one cannabis-positive urinary drug screen (UDS) during treatment (n=56). An additional random sample of 35 non-cannabis using individuals from the same enrollment period was used as a comparison group. These charts were pulled using a random number generator and were selected for the study if all inclusion criteria were met.
2.2. Treatment enrollment and structure
As part of the intake process, individuals seeking admission participated in a structured clinical interview and medical evaluation where detailed drug use histories were collected. Individuals were then initiated on methadone maintenance therapy according to federal guidelines, with assigned daily medication times. Dosing was slowly titrated until a blocking dose of methadone was achieved and opiate craving and use were controlled. For the purposes of this project, dose stabilization was defined as a period of eight weeks at a constant dose of methadone. Acquisition of this dose marked the transition from methadone induction to early stabilization phase in patients. Progress was monitored through regular meetings with counselors and medical staff, as well as UDS performed at least once-monthly on a random basis. During the titration period, in which low to moderate-grade opiate withdrawal symptoms were typically experienced, the Clinical Opiate Withdrawal Scale (COWS) (21) was administered by the medical staff as needed to help assess the need for dose increases, and periodically thereafter when dose changes were requested or needed.
2.3. Plan of Analysis
Study data was analyzed as follows using SPSS 16.0 Graduate Pack software. The authors first examined whether a history of pre-treatment cannabis use was associated with proxy measures of opiate addiction and severity (i.e., daily opiate expenditure, number of previous opiate dependence treatment episodes, and cumulative years of opiate use). Next, the patterns and effects of both pre-treatment and in-treatment cannabis use on methadone induction and opiate use were studied. Recent cannabis history (dichotomized as Yes/No) referred to any self-reported history of cannabis use in the month prior to enrollment in treatment. Data on in-treatment cannabis use was recorded from urinalyses conducted during the initial 9 months of MMT enrollment. To test the hypothesis that cannabis use impacts the process of methadone induction, a series of ANOVAs were conducted using either recent cannabis history or cannabis use during methadone induction as independent variables. Because illicit drug use during stabilization could have potentially complicated the dose titration process, the dependent measures included: 1. rates of cannabis and opiate drug use during the methadone induction phase and early stabilization phase, 2. the number of weeks required to complete methadone dose titration (induction), 3. the methadone blocking dose upon stabilization, and 4. medication compliance (attendance for daily methadone administration). Parallel ANCOVAs were conducted for each operationalization of the independent variable, using daily opiate expenditure as a covariate to control for pre-treatment opiate use/severity of dependence. In this manner, it was possible to study how the patterns of cannabis use interact with opiate dependence prior to treatment, and also the possible impact of cannabis use on MMT and opiate use during two critical phases of treatment: methadone induction and early stabilization.
3.1. Sample Statistics
Data from a total of 91 individuals were recorded. Due to the limited availability of certain data in the clinical record, some analyses were performed on a smaller subset of cases. Average age at admission was 39 ± 11 years, and ranged from 20-62 years of age. Sixty percent (n=55) of subjects were male. Almost eighty percent (n=70) of subjects were Caucasian, the remainder were African American (n=12, 13.5%), and Hispanic (n=6, 6.7%). The majority of the sample were intravenous drug users (n=61, 67.0%), but oral narcotic (n=44, 50%) and intranasal administration (n=43, 49.4%) was also commonly reported. In the month prior to entering treatment, almost half of the individuals (46.6%) were using multiple substances (benzodiazepines, cannabis, or stimulants) in addition to opiates. (See Table 1 )
|Standard Deviation||± 11.29|
|Stable Methadone Blocking Dose|
|Standard Deviation||± 60.80|
|Weeks to Stabilization|
|Standard Deviation||± 9.38|
|Opiate Route of Administration ⋄|
|Combination of ≥ 2 of the Above||38.9%|
|History of Illicit Drug Use: Lifetime + ⋄|
|Combination of ≥ 2 of the Above||80.2%|
|History of Illicit Drug Use: Recent + ⋄|
|Combination of ≥ 2 of the Above||46.6%|
Analysis of stabilization involved examination of two distinct treatment phases during the time period from enrollment through month nine of treatment. “Methadone induction phase” was used to refer to the period of time during which an individual’s methadone dose was titrated to a stable blocking dose, while “early stabilization phase” denoted the remainder of the nine month study period following acquisition of a blocking dose. Almost all subjects (n=85) were able to achieve a stable blocking dose of methadone (x=112.42±61.03mg) within an average of 11±9.4 weeks. For a variety of reasons, 6 of the 91 subjects were unable to achieve a stable blocking dose during the study timeframe. In the nine months following enrollment, subjects on average missed daily dosing 18.5±24.6 times. Stabilization on MMT, operationalized in this study as 8 weeks on a stable methadone dose, was associated with a significant decrease in the percentage of opiate-positive UDS. A within-subjects comparison of opiate use between methadone induction and early stabilization treatment phases revealed an approximately 50% decrease in the mean percentage of opiate-positive UDS [57.4 to 28.2%, t(82)=6.58, p
3.2. Cannabis use: pre-treatment history and use during methadone induction
Data on self-reported pre-treatment cannabis use was gathered from information recorded during the intake medical evaluation. Within the sample, 28.6% (n=26) individuals reported no history of cannabis use, past or recent (i.e., 30 days prior to enrollment). While 31.9% (n=29) of subjects reported past but no recent cannabis use, almost 40% (n=36) reported past and recent cannabis use. During the nine-month study period, 38.5% were cannabis-abstinent (n=35), while 61.5% (n=56) used cannabis at least once. Not surprisingly, when examining the relationship between pre-admission reports of marijuana use and urine results in the first nine-months of treatment, a strong positive effect was observed (r=0.736, p< 0.001). Evidence of ongoing cannabis use was also examined. Based on monthly UDS results during the first nine months of enrollment, cannabis using individuals were classified as occasional users (1-3 months cannabis-positive, n=27) or frequent users (> 3 months cannabis, n = 29). There was a positive correlation between rates of cannabis use and illicit benzodiazepine use during the initial nine months in treatment: r(91)=0.374, p
Patterns of Cannabis Use in the Sample
|Cannabis use history||n||Percentage||Frequency of cannabis use in-treatment||n||Percentage|
|No Lifetime/No Recent||26||28.6%||Abstinent||35||38.5%|
|Yes Lifetime/No Recent||29||31.9%||Occasional||27||29.7%|
|Yes Lifetime/Yes Recent||36||39.6%||Heavy||29||31.9%|
|Rate of Cannabis Use +||Change & SD||Statistics|
|Individuals with lifetime cannabis history|
|Methadone induction phase||48.8%||−11.2±42.9%||t(56) = 1.96|
|Early stabilization phase||37.6%||p = 0.055|
|Individuals with recent cannabis history|
|Methadone induction phase||74.6%||−25.3±45.2%||t(33) = 3.27|
|Early stabilization phase||49.3%||p = 0.003|
|Correlations||r value||p value|
|Cannabis use: prior to & during treatment||r(80)=0.736||p|
|Pre-stabilization cannabis use & unfavorable discharge status||r(80)=0.069||p=0.567|
|Pre-stabilization cannabis use & MMT attendance||r(65)=0.151||p=0.230|
|Rate of cannabis use & opiate use (during treatment)||r(82)=0.018||p=0.873|
|Cannabis use during treatment & age||r(91)= −0.210||p=0.047|
|Rate of cannabis use & daily opiate expenditure||r(49)= −0.313||p=0.028|
3.3. Role of drug use history and proxy measures of addiction severity in cannabis use
Opiate addiction history and severity of dependence at treatment intake was assessed via several proxy measures reported in the intake medical evaluation: years of opiate abuse, number of previous treatment episodes for opiate dependence (excluding Narcotics Anonymous), and daily opiate expenditure. The following analyses included data from all individuals in the sample providing complete information. In addition to having 2.42 ±1.70 (n=51) previous episodes in treatment, individuals had an average of a 15.68 ±10.71 (n=71) year history of opiate abuse upon presentation to the clinic for treatment, and spent an average of $108.00 ±65.00 (n=49) per day on opiates.
To test the hypothesis that cannabis users may actually use less opiates and possibly constitute a unique subset of opiate-dependent individuals, analyses were performed to examine whether pre-treatment cannabis use was associated with any of the proxy measures of opiate addiction severity. Neither years of opiate abuse nor number of previous treatment episodes differed based on history of recent cannabis use [t(71)=0.026, p=0.796 and t(51)=01.360, p=0.178, respectively]. Interestingly, decreased daily opiate expenditure spent on opiates (i.e. pre-treatment opiate use) was associated with a history of recent cannabis use (Mn=$85.00) when compared to those with no recent cannabis use (Mn=$126.25) [t(49)= 2.373, p=0.022]. ( Figure 1 ) These data indicate that cannabis users appear to spend less per day on the purchase of opiates, and may in turn use a lesser amount of opiates daily.
Subsequent analyses included daily opiate expenditure as a covariate in an attempt to control for variation based upon the amount of pre-treatment opiate use. For all subsequent analyses involving daily opiate expenditure (Mn=$107.65±64.56, n=51), imputation with the mean was performed in cases where this information was missing in patient records. To verify that this procedure did not alter the findings of associations with cannabis use, analyses were repeated using the imputed form of daily opiate expenditure (Mn=$107.65±48.12, n=91). A recent history of cannabis use was again associated with decreased daily opiate expenditure [t(89)=2.368, p=0.020]. ( Figure 1 )
3.4. Effect of cannabis use history on methadone induction
ANOVAs were next used to determine whether a history of cannabis use was associated with changes in rates of drug use during the methadone induction phase and early stabilization phase. Analyses first examined whether past cannabis use was associated with increased cannabis use during methadone induction or early stabilization. There was a significant interaction between treatment phase (methadone induction/early stabilization) and cannabis history on rates of cannabis use during treatment [F(1,80)=14.669, p
Analogous mixed-effects analyses crossing recent cannabis history and early MMT treatment phase (methadone induction/early stabilization) were then conducted employing opiate use as the outcome measure. Supportive of treatment efficacy, a main effect of treatment phase demonstrated that the rates of opiate use declined significantly between the induction and early stabilization phase [F(1,81)=141.338, p
In addition to rates of illicit drug use, the analyses also sought to uncover any potential associations between recent cannabis history and several other measures of stabilization difficulty such as time required to complete methadone dose titration (methadone induction), methadone blocking dose upon stabilization, and medication compliance. Cannabis use prior to treatment was not associated with any changes in the time required to complete methadone induction [t(83)=0.875, p=0.384], or the eventual stabilization dose [t(82)=0.219, p=0.827]. Increases in the total daily medication absences over the initial nine months of the MMT program were also not associated with recent cannabis use [t(68)=0.982, p=0.330].
3.5. Effects of cannabis use during methadone induction
To address potential detrimental effects of cannabis on MMT stabilization, in-treatment cannabis use was examined in several ways to reveal any potential associations with illicit opiate use or measures of stabilization difficulty. Rates of cannabis-positive UDS and opiate-positive UDS did not correlate during either phase of treatment [methadone induction: r(82)=0.104, p=0.332; early stabilization: r(82)=0.038, p=0.734]. Dichotomized (yes/no) in-treatment cannabis use was not associated with change in opiate use during any treatment phase [F(1, 81)=0.999, p=0.321], and ANCOVA controlling for daily opiate expenditure yielded similar results [F(1,80)=0.087, p=0.769]. Cannabis use during methadone induction was not associated with any significant differences in time required for dose titration [t(80)=0.150, p=0.881], blocking dose [t(79)=0.847, p=0.399], or medication compliance [t(63)=1.212, p=0.230]. Furthermore, cannabis use did not significantly affect premature discharge status [X 2 (1)=3.009, p=0.222]. ( Figure 3 )
3.5.1. Preliminary data on cannabis and opiate withdrawal severity
To examine whether cannabis intake during MMT treatment could be related to opiate withdrawal symptoms, associations between cannabis use and severity of opiate withdrawal were investigated using data from the Clinical Opiate Withdrawal Scale (COWS), an index designed to serve as an objective measure of opiate withdrawal 41 . Effective in January of 2007, the COWS was added as an additional clinical assessment tool, administered in response to patients’ complaints of opiate withdrawal symptoms and craving. While induction COWS data were only available for a subset of the sample (n=40), when subjects were categorized as either low (n=29) or moderate withdrawal severity (n=11), a significant relationship with cannabis use was observed. Specifically, a 2×2 contingency table revealed that cannabis users preferentially fell into the low-severity withdrawal category while those that abstained from cannabis were more often in the moderate-level withdrawal category [X 2 (1)=7.54, p=0.006]. When further characterizing in-treatment cannabis users as abstinent, occasional or frequent use, 3×2 chi-square analysis demonstrated an inverse association between frequency of cannabis use and opiate withdrawal severity [X 2 (2)=6.71, p=0.035]. Further prospective studies are needed to assess this effect in a more controlled manner. ( Figure 3 )
4.1. Association between cannabis and opiate use in treatment-seeking individuals
Cannabis-using opiate-dependent individuals presenting for MMT reported significantly less daily expenditure on acquisition of opiates. When considering this observation, note that the proxy measures of opiate addiction severity used in this study were selected based on available information in the patient record, and therefore lack the control of prospective assessment of addiction severity. Nonetheless, these findings highlighted a potentially interesting trend associated with concurrent cannabis and opiate use. A possible explanation for this finding may be that cannabis users in this study were less “severe” opiate addicts, or required lesser opiate intake. However, cannabis-using individuals did not differ from cannabis-abstinent individuals based on other proxy measures of severity of opiate dependence that included one’s cumulative years of opiate use and number of previous treatment episodes. Interaction between the molecular targets of opiates and cannabis in the brain may underlie the observation that those concurrently using both cannabis and opiates actually purchase and use less opiates 37, 39, 40, 42, 43 .
While cannabis users appeared to purchase (and presumably used) less opiates than cannabis-abstinent individuals at the time of program enrollment, rates of persistent illicit opiate use during MMT were not found to differ based on cannabis use. Data from this sample demonstrated no cannabis effects on dose titration, induction time, attendance, or unfavorable early discharge. These findings were in agreement with several previous studies concerning cannabis effects on MMT. In a large retrospective analysis of MMT, cannabis use was not associated with treatment retention, opiate/cocaine use, or any measure of treatment outcome 27 . Similarly, no risk or harm to treatment outcome was associated with cannabis use in additional studies of patients on MMT 15, 44, 45 or buprenorphine 25 . Intermittent cannabis users were found to have improved retention and outcomes in antagonist treatment for opiate dependence 16, 28 . In a study examining post-discharge cannabis use following inpatient treatment, using cannabis was associated with relapse to alcohol and cocaine use, but not with relapse to heroin use 46 .However, negative aspects of cannabis use on treatment for opiate dependence have also been reported. Several groups have demonstrated the association of cannabis use with likelihood of poly-drug use 24, 45 and increased risk for heroin relapse 47 . Overall, studies of cannabis use on heroin intake in clinical populations did not support this trend 16, 26–28, 48 .
4.2. Decreased cannabis use upon completion of methadone induction
Interestingly, upon acquisition of a blocking dose of methadone, there was a concurrent decline in cannabis use in the sample as a whole. Although this could possibly have been a direct effect of methadone, methadone dose was not found to be related to cannabis use rates in our sample. In a study comparing detection of substance use over the first year of heroin-maintenance and MMT, similar but less dramatic decreases in cannabis use were observed among methadone-maintained patients. Both heroin and methadone-maintenance resulted in dramatic reduction of illicit opiate use despite common cannabis use 49 . Although our group has demonstrated the decline in multiple types of illicit drug use with long-term MMT in the past 11–13 , the present findings were to our knowledge the first to specifically examine patterns of cannabis use over time during the critical early stages of MMT.
4.2.1. Potential role for cannabis in reduction of opiate withdrawal
The transition from methadone induction to the early stabilization phase of treatment was expected to be accompanied by a decline in opiate craving and withdrawal 1, 9, 10 . Decreases in the rate of cannabis-positive UDS were also observed during this transition, but it is unknown if this decline in cannabis use was related to diminished withdrawal symptoms, as clinical data regarding this phenomenon is limited. One group found that cannabis use was positively associated with lower plasma methadone concentrations, and while cannabis use could have caused metabolic changes that resulted in this finding, it is also possible that “cannabis use may be a compensatory response to opioid withdrawal symptoms in some individuals with more rapid methadone clearance” 50 . In a study on the efficacy of non-opioid drugs for opiate withdrawal, cannabis was reported by patients to be less effective in reduction of symptoms than benzodiazepines, but more effective than cocaine, alcohol and nicotine 18 . There was a positive correlation between rates of cannabis and benzodiazepine use (based on monthly UDS results) in our sample. Further studies will be required to determine how the effects of benzodiazepine may interact with those of cannabis during methadone induction. However, numerous studies of cannabinoid-opioid interactions in animal models of opiate addiction have provided strong evidence for an ameliorative effect of cannabinoids on opiate withdrawal symptoms 30, 34, 51–54 .
The current study used objective measures (COWS and UDS) to examine this relationship in a pilot data set, where increased cannabis use was found to be associated with lower severity of withdrawal in a subset of the sample with available chart data. These results suggested a potential role for cannabis in the reduction of withdrawal severity during methadone induction, however prospective studies will be required to verify these initial findings.
4.3. Limitations and Prospective Studies
Due to the study design, the information gleaned from this retrospective chart analysis was descriptive in nature and interpretation of its findings must be cautiously considered. The challenges presented by the nature of the data included lessened control over inherent confounds in studies of drug use, and missing or limited chart information reduced the sample size for certain analyses. While UDS data provided an objective view of drug use during treatment, tests were required to be administered only once a month. Weekly quantitative drug screens detailing the specific amount of drug use would have been optimal and should be employed in prospective studies. Additionally, the study data on substance use history prior to treatment was limited to self-reported information present in the medical record. Optimally, more detailed objective analysis of pre-treatment substance use would be undertaken.
More extensive studies will be necessary to elucidate whether cannabis does indeed alleviate withdrawal signs during stabilization and whether it may be associated with treatment prognosis. Additionally, many individuals within this sample concurrently used cannabis and illicit benzodiazepines during MMT. Unfortunately, the nature of the data made it impossible to control for benzodiazepine use. Therefore, carefully-controlled studies will be essential to determine whether concurrent use of cannabis and benzodiazepines during methadone induction results in additive, subtractive, or synergistic decreases in opiate withdrawal signs. Additionally, further studies will be necessary to examine the specific patterns and effects of cannabis use in individuals on other types of therapeutic interventions for opiate dependence, such as antagonist or buprenorphine treatment.
Although the retrospective data presents limitations, this approach offered the opportunity to uncover patterns of cannabinoid-opiate associations in the existing data, so that this information may be used to guide the design of future prospective studies. Poly-drug abuse is extremely common among opiate-dependent individuals, and use of multiple substances often persists during substance abuse treatment. By maintaining a particular focus on the stabilization process during initiation of MMT, it was possible to examine whether cannabis use affected progress during initiation on to MMT, a critical time point in the treatment for opiate dependence.
The authors acknowledge the support of grants: DA02019 (Dr. Van Bockstaele) and DA023755 (Dr. Sterling) from the National Institutes of Health, Bethesda, MD.
The authors would like to thank the staff at the Narcotic Addiction Rehabilitation Program for their assistance with the data collection process.
Declaration of Interest:
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this paper.
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CBD Oil And Methadone
The widespread use of heroin and prescription opioids in the United States during the past decade has resulted in an unprecedented epidemic of opioid addiction, and few treatments for heroin use disorders are currently available. In this study, authors conducted a clinical trial to test whether cannabidiol (CBD), a non-intoxicating cannabinoid that is found in the cannabis plant, could reduce drug craving and anxiety in recently-abstinent individuals with heroin use disorder. The study found that, compared to those who received a placebo, individuals who received a dose of CBD medication showed a reduction in craving for heroin as well as reduced anxiety, which lasted for about a week after taking the CBD medication.
WHAT PROBLEM DOES THIS STUDY ADDRESS?
In the past decade, there has been an unprecedented spike in opioid use disorde r , which has led to more than 300,000 opioid-related deaths in the United States . O pioid use disorder medications such as methadone and buprenorphine (often prescribed in a formulation with naloxone , known by the brand name S uboxone ) help reduce opioid use and reduce risk for opioid-involved overdoses . In some areas, however, t hese medications are often underutilized and therefore can be difficult to access, creating a treatment gap in which those who need medications face barriers to actually receiving them. Further, 20-40% of opioid use disorder patients do not want to take agonist treatments .
One of the hypothesized factors contributing to these barriers is that methadone and Suboxone can be misused or diverted because they can produce euphoria . Consequently, discovering effective alternative medications that can also treat opioid use disorder that circumvent concerns about their psychoactive properties could help more of those affected . To address this problem , the authors investigated whether the cannabinoid , CBD , which is thought to be safe and non-addictive, could be useful in the treatment of opioid use disorder .
HOW WAS THIS STUDY CONDUCTED?
This was a randomized clinical trial with 42 participants who received one of two different CBD medication doses or a placebo once daily for 3 days and were then exposed to drug-related or neutral cues to see whether CBD could reduc e opioid cravings and anxiety – factors strongly associated with relapse to opioid use .
Participants were recruited through advertisements. Most participants indicated preference for intranasal heroin use, most reported currently using more than 10 bags of heroin (one bag = 1 g) daily, and on average, participants had been using heroin for over 10 years. The majority of participants (64.3%) had been abstinent from heroin use for less than 1 month.
The study medication used in this study, EPIDIOLEX, is a n FDA-approved medication that is dispensed through a pharmacy (not to be confused with “medical marijuana , ” which is comprised of a wide variety of non- federally- regulated cannabis projects ) . EPIDIOLEX is a plant-derived CBD liquid formation. P articipants were randomly assigned to receive 400 mg of CBD, 800 mg of CBD, or a placebo medication. CBD or placebo was administered once daily for 3 days . In addition to measuring the effect of the medication on opioid craving, anxiety, the authors also collected measures of positive and negative emotions, vital signs (skin temperature, blood pressure, heart rate, respiratory rate), and salivary cortisol levels , which measure stress response.
At three time points – immediately after the CBD or placebo administration ; 24 hours after the CBD or placebo administration ; and 7 days after the third and final CBD or placebo administration – p articipants were exposed to drug – related and neutral cues . The 3-minute neutral cue condition consisted of a video showing relaxing scenarios, such as scenes in nature. The drug cue condition was a 3-minute video that showed intravenous or intranasal drug use, depending on the participant’s reported preferred route of drug use . Immediately after the presentation of the videos , participants were also exposed to neutral objects or to heroin – related paraphernalia (e.g., syringe, rubber tie, and packets of powder resembling heroin) for 2 minutes. Authors examined whether patients who received CBD, compared to those who received placebo, showed differences in opioid craving, anxiety, positive and negative emotions, or vital signs , after being exposed to the drug or neutral cues.
WHAT DID THIS STUDY FIND?
I ndividuals receiving the non-psychoactive cannabinoid CBD medication reported less craving after being exposed to drug cues compared with i ndividuals receiving placebo . This effect lasted at least a week after the CBD or placebo administration, when i ndividuals receiving the high-dose of CBD (but not the low-dose) still reported less craving compared with those receiving placebo . In addition, CBD reduced measures of stress response after the drug cue – such as heart rate and salivary cortisol increases . I ndividuals receiving CBD reported less anxiety after being exposed to drug cues compared with i ndividuals receiving placebo (though t here w ere no significant difference s in anxiety between participants receiving the low-dose vs . the high-dose of CBD ) . There was no effect of CBD on positive affect or on any cognitive measures.
WHAT ARE THE IMPLICATIONS OF THE STUDY FINDINGS?
In light of the opioid epidemic, it is important to identify as many strategies as possible to curb opioid addiction. In the past few years, scientists have asked whether or not cannabis use can help individuals recover from opioid use disorder or may serve as a less-risky pain management approach to pharmaceutical opioids . Individuals also report using cannabinoids in an effort to cut back or quit other substances , but currently, data do not support this indication. Some studies have shown no benefit; in fact, studies have shown that cannabis use is related to greater odds of both new-onset opioid use and opioid use disorder 3 years later . The small, experimental study here shows a potential benefit of CBD in reduc ing cue-induced craving and anxiety in heroin-abstinent individuals . This suggest s a potential role for CBD in relapse prevention of heroin use disorder . T his study takes a more rigorous approach that can serve as a model for future studies of cannabinoids and their potential role in OUD treatment and recovery.
- The sample size in this study was very small and , although results are promising, the findings need replication in larger samples. The small sample also did not allow for exploration of sex/gender effects, which could be important given that women typically have higher craving and anxiety than men.
- The study medication used in this study, EPIDIOLEX, is a n FDA-approved medication that you can only get from a pharmacy. Though EPIDIOLEX is derived from cannabis, it is NOT medical marijuana . This medication does not contain THC, which is the compound in the cannabis plant that causes the ‘high’ and euphoria. It is therefore important for patients to realize that although benefits of CBD were found, this study does NOT support the use of “medical marijuana” for opioid use disorder.
- This study only examined opioid craving for 7 days. It is still unknown if CBD would reduce opioid craving past the 7-day window examined in this study o r whether use of CBD actually translates into less use of actual opioids.
- Patients in this study had to be abstinent from opioids, and not taking any agonist therapie s. Therefore, the population in this study r epresent s individuals who are doing well and may respond will to lots of different interventions . However, this population may not be representative of opioid use disorder patients more generally.
- For individuals and families seeking recovery: This study showed that compared to placebo the non-psychoactive cannabinoid , CBD , was associated with substantially de creased cue-induced craving and anxiety for those with heroin use disorder . Many individuals with opioid use disorders are seeking alternative treatments to curb cravings and reduce anxiety, and many are reluctant to try agonist treatments such as methadone or suboxone . While more research is needed to flesh out whether CBD increase s the likelihood of long-term abstinence, this study suggests individuals may benefit from EPIDIOLEX, the FDA-approved CBD medication , but more larger studies are needed to confirm this . It is important to note, however, that individuals are using cannabis in its unregulated forms, and legislatures are passing med ical cannabis laws that identify opioid use disorder as one of the conditions for which cannabis is indicated without evidence to support this indication . Consequently, individuals seeking to use cannabis , in general, for opioid addiction should proceed cautiously .
- Fortreatment professionals and treatment systems: This study showed that compared to placebo, CBD was associated with substantially de creased cue-induced craving and anxiety for those with heroin use disorder . A recent survey found that a considerable percentage (30%) of individuals receiving agonist treatment were worried about encountering negative attitudes related to being prescribed agonists, and only 33% reported their provider discussed this with them prior to attending a meeting . If CBD does pan out as a potential treatment of heroin use disorder, this could appeal to many p atient s, and could be a good complement to recovery support services. It is important for treatment professionals to be aware that the unregulated forms of cannabis, e.g. , those that can be purchased at medical marijuana dispensaries, are still unproven treatments, and may in fact produce more harm than good.
- For scientists: This study showed that compared to placebo, CBD was associated with substantially de creased cue-induced craving and anxiety for those with heroin use disorder . More w ork is needed that more precisely measures whether CBD increases the likelihood of long-term abstinence , as well as for whom, and under what conditions , this medication work best. Greater knowledge in this regard could inform the nature of medication development more broadly . By pursuing investigation into other alternative treatments for opioid use disorder, scientists may be able to help reduce stigma and improve outcomes for patients with OUD .
- For policy makers: This study showed that compared to placebo CBD was associated with substantially de creased cue-induced craving and anxiety for those with heroin use disorder . While more research is needed, CBD may be an alternative to other medications for opioid use disorder, which are limited and not well-accessible to racial/ethnic minorities and those without financial means . Policy makers, however, should be aware that this study does not provide evidence that unregulated forms of cannabis, especially those containing THC, help with OUD. F unding research studies that examine pure forms of CBD, and other alternative treatments for opioid use disorder , could help improve outcomes and reduce the public health burden of the current epidemic of opioid addiction .
Hurd, Y. L., Spriggs, S., Alishayev , J., Winkel, G., Gurgov , K., Kudrich , C., . . . Salsitz , E. (2019). Cannabidiol for the reduction of cue-induced craving and anxiety in drug-abstinent individuals with heroin use disorder: A double-blind randomized placebo-controlled trial . American Journal of Psy chiatry, ( ePub ahead of print). doi : 10.1176/appi.ajp.2019.18101191