Patterns and correlates of medical cannabis use for pain among patients prescribed long-term opioid therapy

Pierre M, Belle-Isle L, Gagnon M, Bevan S, Sanchez T, Arlt S, Monahan-Ellison M, O'Hara J, Boivin M, Costiniuk C. Clinical Practice Guidelines for Cannabis and Cannabinoid-Based Medicines in the Management of Chronic Pain and Co-Occurring Conditions

Background: One in five individuals live with chronic pain globally, which often co-occurs with sleep problems, anxiety, depression, and substance use disorders. Although these conditions are commonly managed with cannabinoid-based medicines (CBM), health care providers report lack of information on the risks, benefits, and appropriate use of CBM for therapeutic purposes. Aims: We present these clinical practice guidelines to help clinicians and patients navigate appropriate CBM use in the management of chronic pain and co-occurring conditions. Materials and Methods: We conducted a systematic review of studies investigating the use of CBM for the treatment of chronic pain. Articles were dually reviewed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Clinical recommendations were developed based on available evidence from the review. Values and preferences and practical tips have also been provided to support clinical application. The GRADE system was used to rate the strength of recommendations and quality of evidence. Results: From our literature search, 70 articles met inclusion criteria and were utilized in guideline development, including 19 systematic reviews and 51 original research studies. Research typically demonstrates moderate benefit of CBM in chronic pain management. There is also evidence for efficacy of CBM in the management of comorbidities, including sleep problems, anxiety, appetite suppression, and for managing symptoms in some chronic conditions associated with pain including HIV, multiple sclerosis, fibromyalgia, and arthritis. Conclusions: All patients considering CBM should be educated on risks and adverse events. Patients and clinicians should work collaboratively to identify appropriate dosing, titration, and administration routes for each individual. Systematic Review Registration: PROSPERO no. 135886.

Characteristics of Cannabis and Opioid Users Among Older U.S. Veterans and Their Health Outcomes: A Longitudinal Perspective

Medical cannabis use among U.S. Veterans has continued to rise. However, data on cannabis use by older Veterans is generally less available. This study aims to understand the characteristics of older Veterans who enrolled in the Medical Cannabis Patient Program in Illinois and analyze their health outcomes and co-use of cannabis and opioids using longitudinal survey data. Overall, participants reported positive outcomes for pain, sleep, and emotional problems because of cannabis use in two survey periods. Approximately, 62% and 85% respondents reported no change in memory and falls, respectively, with only 3% and 1% reporting a negative outcome for the conditions in both surveys. About 20.4% of those who indicated cannabis use only in the initial survey started to co-use opioids in the follow-up survey, while 44.1% of those who indicated the use of both substances in the initial survey reported no longer using opioids in the follow-up survey. However, these changes were not statistically significant (α = 0.05 ) . The logistic regression showed that both clinical and contextual factors affected co-use. In conclusion, older U.S. Veterans may be using cannabis to alleviate their pain and other chronic conditions. More research is needed to understand the effect of cannabis use on reducing or substituting opioids.

Impacts of medical and non-medical cannabis on the health of older adults: Findings from a scoping review of the literature

BACKGROUND

Cannabis legalization has enabled increased consumption in older adults. Age-related mental, physical, and physiological changes may lead to differences in effects of cannabis in older adults compared to younger individuals.

OBJECTIVE

To perform a scoping review to map the evidence regarding the health effects of cannabis use for medical and non-medical purposes in older adults.

METHODS

Electronic databases (MEDLINE, Embase, PsycINFO, Cochrane Library) were searched for systematic reviews (SRs), randomized controlled trials (RCTs) and non-randomized/observational studies (NRSs) assessing the health effects and associations of cannabis use (medical or non-medical) in adults ≥ 50 years of age. Included studies met age-related inclusion criteria or involved a priori identified health conditions common among older adults. Records were screened using a liberal accelerated approach and data charting was performed independently by two reviewers. Descriptive summaries, structured tables, effect direction plots and bubble plots were used to synthesize study findings.

FINDINGS

From 31,393 citations, 133 publications describing 134 unique studies (26 SRs, 36 RCTs, 72 NRSs) were included. Medical cannabis had inconsistent therapeutic effects in specific patient conditions (e.g., end-stage cancer, dementia), with a number of studies suggesting possible benefits while others found no benefit. For medical cannabis, harmful associations outnumbered beneficial, and RCTs reported more negative effects than NRSs. Cannabis use was associated with greater frequencies of depression, anxiety, cognitive impairment, substance use and problematic substance use, accidents/injuries, and acute healthcare use. Studies often were small, did not consistently assess harms, and did not adjust for confounding.

DISCUSSION

The effects of medical cannabis are inconsistent within specific patient conditions. For older adults, generally, the available evidence suggests cannabis use may be associated with greater frequencies of mental health issues, substance use, and acute healthcare use, and the benefit-to-risk ratio is unclear. Studies with a balanced assessment of benefits and harms may guide appropriate public health messaging to balance the marketing pressures of cannabis to older adults.

Association of cannabis and/or opioid with quality of life and healthcare utilization in patients with chronic pain

Background

Opioids have been commonly used to treat chronic pain, but they are associated with significant morbidity and mortality. Cannabis has been advocated as an alternative; however, a growing number of patients are now using a combination of opioid and cannabis and the impact of this combination is not well-studied.

Aim

We characterized use of opioid and/or cannabis in patients with chronic pain; and compared utilization of healthcare resources.

Methods

We conducted a cross-sectional study to determine if measures of physical, psychological and social functioning differed among patients according to whether they used opioids and/or cannabis. We used our learning healthcare system - CHOIR - to capture NIH Patient Reported Outcomes Measure Information System surveys, and legacy pain and treatment specific questions.

Results

Patients who report use of opioid and/or cannabis experience higher levels of physical, psychological and social distress. After adjusting for inversed weight of propensity scores, they have higher odds of visiting an emergency room, staying overnight at the hospital, and visiting a physician.

Conclusion

Our results show that use of opioid and/or cannabis is associated with worse baseline characteristics and outcomes. Our study however cannot determine if worse outcomes are due to the opioids and/or cannabis or simply that these patients are worse off before using opioids and/or cannabis. Thus, it is important to characterize the trajectory of these patients in a prospective longitudinal study.

Tobacco/nicotine use among individuals using cannabis for therapeutic purposes

BACKGROUND AND OBJECTIVES

While the relationship between recreational cannabis and nicotine use is well established, little is known about nicotine use among users of cannabis for therapeutic purposes (CTP).

METHODS

Patients attending a medical marijuana dispensary (N = 697; 75.3% White; 60.0% male) completed a survey examining nicotine use, motivation to quit cigarette smoking, routes of administration of nicotine and cannabis, and CTP qualifying conditions.

RESULTS

More than one-third (39.3%) of participants reported current nicotine use. Compared to exclusive cigarette smokers, e-cigarette users and non-users of nicotine were approximately four times more likely to vape, rather than to smoke, cannabis. Furthermore, 46.8% of cigarette smokers reported plans to quit smoking in the next 6 months (but not in the next month) and an additional 31.6% planned to quit in the next month. Having a psychiatric condition was associated with nicotine use and higher motivation to quit smoking.

DISCUSSION AND CONCLUSIONS

Users of CTP are more likely to use nicotine products than the general population and the route of administration of nicotine products is related to the route of administration of CTP. If aerosolized CTP is a less harmful route of administration than smoked CTP, dispensary staff should be aware of this relationship and take this into account when recommending a noncombustible route.

SCIENTIFIC SIGNIFICANCE

This study further characterizes nicotine use behaviors and motivation to quit smoking among users of CTP and may be among the first to examine nicotine use among patients of a medical marijuana dispensary.

Substance Use Disorders and Psychoactive Drug Poisoning in Medically Authorized Cannabis Patients: Longitudinal Cohort Study

OBJECTIVES

Poisoning from psychoactive drugs and substance use disorders (SUD) have been reported among non-medical cannabis users. However, little is known about medical cannabis users and their risk for poisoning and/or development of SUD. This study assessed the risk of emergency department (ED) visits or hospitalization for 1) poisoning by psychoactive drugs and 2) mental/behavioural disorders due to the use of psychoactive drugs and other substances, in medically authorized cannabis patients in Ontario, Canada from 2014-2017.

METHODS

A cohort study of adult patients authorized for medical cannabis that were matched to population-based controls. ED visit/hospitalization were assessed with a main diagnostic code for: 1) poisoning by psychoactive drugs; 2) mental and behavioural disorder due to psychoactive drugs or other substance use. Conditional Cox proportional hazards regressions were conducted.

RESULTS

18,653 cannabis patients were matched to 51,243 controls. During a median follow-up of 243 days, the incidence rate for poisoning was 4.71 per 1,000 person-years (95%CI: 3.71-5.99) for cases and 1.73 per 1,000 person-years (95% CI: 1.36-2.19) for controls. The adjusted hazard ratio (aHR) was 2.45 (95%CI: 1.56-3.84). For mental/behavioural disorders, the incident rates were 8.89 (95% CI: 7.47-10.57) and 5.01 (95% CI: 4.36-5.76) in the cannabis and the controls group. The aHR was 2.27 (95%CI: 1.66-3.11). No difference was observed between males and females (P-value for interaction > 0.05).

CONCLUSIONS

Our study observed a short-term increased risk of ED visit/hospitalization for poisoning or for mental/behavioural disorders (from use of psychoactive drugs and other substances)- in medically authorized cannabis patients.

First-Year Trajectories of Medical Cannabis Use Among Adults Taking Opioids for Chronic Pain: An Observational Cohort Study

OBJECTIVE

To describe first-year trajectories of medical cannabis use and identify characteristics associated with patterns of use in a cohort of adults using opioids for chronic pain.

DESIGN

Latent class trajectory analysis of a prospective cohort study using data on the 14-day frequency of medical cannabis use.

SETTING

A large academic medical center and four medical cannabis dispensaries in the New York City metropolitan area.

SUBJECTS

Adults with chronic pain using opioids and newly certified for medical cannabis in New York between 2018 and 2020.

METHODS

Using latent class trajectory analysis, we identified clusters of participants based on the 14-day frequency of medical cannabis use. We used logistic regression to determine factors associated with cluster membership, including sociodemographic characteristics, pain, substance use, and mental health symptoms.

RESULTS

Among 99 participants, the mean age was 53 years; 62% were women, and 52% were White. We identified three clusters of medical cannabis use: infrequent use (n = 30, mean use = 1.5 days/14-day period), occasional use (n = 28, mean = 5.7 days/14-day period), and frequent use (n = 41, mean = 12.1 days/14-day period). Within clusters, use patterns did not vary significantly over 52 weeks. Differences were observed in two sociodemographic variables: Frequent (vs infrequent) use was associated with non-Hispanic White race/ethnicity (adjusted odds ratio 4.54, 95% confidence interval 1.49-14.29), while occasional (vs infrequent) use was associated with employment (adjusted odds ratio 13.84, 95% confidence interval 1.21-158.74).

CONCLUSIONS

Three clusters of medical cannabis use patterns emerged and were stable over time. Results suggest that structural factors related to race/ethnicity and employment may be major drivers of medical cannabis use, even among adults certified for its use.

Feasibility and acceptability of using smartphone-based EMA to assess patterns of prescription opioid and medical cannabis use among individuals with chronic pain

BACKGROUND

Intensive longitudinal studies are needed to examine the co-use of prescription opioid medication and medical cannabis and their effects on chronic pain. The current study sought to investigate the feasibility and participant compliance with a smartphone-based Ecological Momentary Assessment (EMA) data collection protocol among individuals who use multiple substances and suffer from chronic pain.

METHODS

A total of 46 participants (mean age = 44.8 years; 78% female; 85% Non-Hispanic White) were recruited online and completed a 30-day EMA phase where they responded to prompted surveys (four random past-hour surveys and one daily diary per day) about opioid medication use, medical cannabis use, and pain symptoms. Qualitative follow-up interviews were conducted with a subset of 10 participants. Linear and logistic regression models were used to examine baseline participant characteristics in relation to EMA compliance. Qualitative indicators of participant study experience were extracted from interviews.

RESULTS

Participants responded to an average of 70% of past-hour surveys and 92% of daily diaries. Female participants were more likely to complete all daily diaries and at least one past-hour survey per day on all 30 days, respectively (OR = 5.60, 95% CI: 1.02-30.77, p < .05; OR = 7.08, 95% CI: 1.28-39.16, p < .05). Female participants were also more likely to complete at least 75% of their prompted past-hour surveys (OR = 4.67, 95% CI: 1.00-21.69, p < .05). Interview participants reported a positive study experience overall, although some mentioned problems related to smartphone notifications, redundant questions, or being prompted when they were not feeling well. Participants also mentioned problems with reporting the amount of medical cannabis used (e.g., milliliters of vaping liquid).

CONCLUSIONS

Study results demonstrate both feasibility and acceptability of using EMA methodology to examine use patterns of medical cannabis and prescription opioid medication among individuals with chronic pain.

Possible opioid-saving effect of cannabis-based medicine using individual-based data from the Norwegian Prescription Database

Some ecological studies have shown that areas with higher use of cannabis may have lower opioid use and fewer opioid-related problems. Newer studies are questioning this finding. Few individually based studies have been performed. Using data from the Norwegian Prescription Database, this study investigated the individual level effect of prescribed cannabis extract (Sativex®) in prescription opioid users on their opioid use in the following year. Looking at all those filling a prescription for Sativex®, opioid use was only marginally lowered in the follow-up period. Some Sativex® users, however, filled more prescriptions for Sativex® and were able to reduce their opioid use substantially. Further studies are needed to elucidate more details on these patients, so as to know who can benefit from such cannabis-based extracts in reducing their opioid use.

A Mapping Literature Review of Medical Cannabis Clinical Outcomes and Quality of Evidence in Approved Conditions in the USA from 2016 to 2019

In 2017, a National Academies of Sciences, Engineering, and Medicine (NASEM) report comprehensively evaluated the body of evidence regarding cannabis health effects through the year 2016. The objectives of this study are to identify and map the most recently (2016-2019) published literature across approved conditions for medical cannabis and to evaluate the quality of identified recent systematic reviews, published following the NASEM report. Following the literature search from 5 databases and consultation with experts, 11 conditions were identified for evidence compilation and evaluation: amyotrophic lateral sclerosis, autism, cancer, chronic noncancer pain, Crohn's disease, epilepsy, glaucoma, human immunodeficiency virus/AIDS, multiple sclerosis (MS), Parkinson's disease, and posttraumatic stress disorder. A total of 198 studies were included after screening for condition-specific relevance and after imposing the following exclusion criteria: preclinical focus, non-English language, abstracts only, editorials/commentary, case studies/series, and non-U.S. study setting. Data extracted from studies included: study design type, outcome definition, intervention definition, sample size, study setting, and reported effect size. Few completed randomized controlled trials (RCTs) were identified. Studies classified as systematic reviews were graded using the Assessing the Methodological Quality of Systematic Reviews-2 tool to evaluate the quality of evidence. Few high-quality systematic reviews were available for most conditions, with the exceptions of MS (9 of 9 graded moderate/high quality; evidence for 2/9 indicating cannabis improved outcomes; evidence for 7/9 indicating cannabis inconclusive), epilepsy (3 of 4 graded moderate/high quality; 3 indicating cannabis improved outcomes; 1 indicating cannabis inconclusive), and chronic noncancer pain (12 of 13 graded moderate/high quality; evidence for 7/13 indicating cannabis improved outcomes; evidence from 6/7 indicating cannabis inconclusive). Among RCTs, we identified few studies of substantial rigor and quality to contribute to the evidence base. However, there are some conditions for which significant evidence suggests that select dosage forms and routes of administration likely have favorable risk-benefit ratios (i.e., epilepsy and chronic noncancer pain). The body of evidence for medical cannabis requires more rigorous evaluation before consideration as a treatment option for many conditions, and evidence necessary to inform policy and treatment guidelines is currently insufficient for many conditions.

Opioid use in medical cannabis authorization adult patients from 2013 to 2018: Alberta, Canada

BACKGROUND

The opioid overdose epidemic in Canada and the United States has become a public health crisis - with exponential increases in opioid-related morbidity and mortality. Recently, there has been an increasing body of evidence focusing on the opioid-sparing effects of medical cannabis use (reduction of opioid use and reliance), and medical cannabis as a potential alternative treatment for chronic pain. The objective of this study is to assess the effect of medical cannabis authorization on opioid use (oral morphine equivalent; OME) between 2013 and 2018 in Alberta, Canada.

METHODS

All adult patients defined as chronic opioid users who were authorized medical cannabis by their health care provider in Alberta, Canada from 2013 to 2018 were propensity score matched to non-authorized chronic opioid using controls. A total of 5373 medical cannabis patients were matched to controls, who were all chronic opioid users. The change in the weekly average OME of opioid drugs for medical cannabis patients relative to controls was measured. Interrupted time series (ITS) analyses was used to assess the trend change in OME during the 26 weeks (6 months) before and 52 weeks (1 year) after the authorization of medical cannabis among adult chronic opioid users.

RESULTS

Average age was 52 years and 54% were female. Patients on low dose opioids (< 50 OME) had an increase in their weekly OME per week (absolute increase of 112.1 OME, 95% CI: 104.1 to 120.3); whereas higher dose users (OME > 100), showed a significant decrease over 6 months (- 435.5, 95% CI: - 596.8 to - 274.2) compared to controls.

CONCLUSIONS

This short-term study found that medical cannabis authorization showed intermediate effects on opioid use, which was dependent on initial opioid use. Greater observations of changes in OME appear to be in those patients who were on a high dosage of opioids (OME > 100); however, continued surveillance of patients utilizing both opioids and medical cannabis is warranted by clinicians to understand the long-term potential benefits and any harms of ongoing use.

Association between marijuana use and nonmedical prescription opioid use in the United States: are we shifting from one epidemic to another?

The United States (US) is grappling with a severe opioid epidemic. Marijuana is emerging as a therapy for pain management and an alternative to opioids, but little evidence supports its long-term benefits. This study aims to examine the association of marijuana use among patients on prescription pain relievers in a retrospective cross-sectional study using zero-inflated negative binomial regression. The recipients of prescription pain medicines were identified using National Survey on Drug Use and Health (2015-2017). Irrespective of the state marijuana laws, marijuana use days were 34% higher and odds of having zero days of marijuana use were 73% lower in those using nonmedical prescription opioids vs. not (IRR = 1.34, p < 0.0001; OR = 0.27, p < 0.0001, respectively). In the absence of consequential evidence supporting marijuana for pain management and more states venturing into legalizing it, there needs to be more caution as the country struggles to recover from one epidemic.

Association between daily and non-daily cannabis use and depression among United States adult cancer survivors

BACKGROUND

Cancer survivors are vulnerable to Cannabis Use (CU) and at increased risk for depression. Yet, the relationship between CU and depression among cancer survivors is unknown.

PURPOSE

The purpose of this study was to estimate the prevalence of daily/non-daily CU, investigate the association between CU and depression and evaluate CU reasons and methods of administration among cancer survivors.

METHOD

Population-based, nationally representative sample of cancer survivors aged ≥18 (n = 10,799) from 2018 Behavioral Risk Factor Surveillance System Survey was used. Weighted descriptive statistics and multivariate logistic regression were conducted.

FINDINGS

Overall, 4.2% reported daily and 4.1% non-daily CU. Those who self-reported depression had higher prevalence of daily and non-daily CU than those not reporting depression. Daily CU was associated with 120% increased odds of depression (odds ratio = 2.2, 95% confidence interval [1.3, 3.7]) compared with none-users.

DISCUSSION

Efforts to improve open communications and evidence-informed discussions regarding benefits and risks of CU and reasons for using cannabis between clinicians and cancer survivors are imperative.

Disagreement and Uncertainty Among Experts About how to Respond to Marijuana Use in Patients on Long-term Opioids for Chronic Pain: Results of a Delphi Study

BACKGROUND

Marijuana use is common among patients on long-term opioid therapy (LTOT) for chronic pain, but there is a lack of evidence to guide clinicians' response.

OBJECTIVE

To generate expert consensus about responding to marijuana use among patients on LTOT.

DESIGN

Analysis from an online Delphi study.

SETTING/SUBJECTS

Clinician experts in pain and opioid management across the United States.

METHODS

Participants generated management strategies in response to marijuana use without distinction between medical and nonmedical use, then rated the importance of each management strategy from 1 (not at all important) to 9 (extremely important). A priori rules for consensus were established, and disagreement was explored using cases. Thematic analysis of free-text responses examined factors that influenced participants' decision-making.

RESULTS

Of 42 participants, 64% were internal medicine physicians. There was consensus that it is not important to taper opioids as an initial response to marijuana use. There was disagreement about the importance of tapering opioids if there is a pattern of repeated marijuana use without clinical suspicion for a cannabis use disorder (CUD) and consensus that tapering is of uncertain importance if there is suspicion for CUD. Three themes influenced experts' perceptions of the importance of tapering: 1) benefits and harms of marijuana for the individual patient, 2) a spectrum of belief about the overall riskiness of marijuana use, and 3) variable state laws or practice policies.

CONCLUSIONS

Experts disagree and are uncertain about the importance of opioid tapering for patients with marijuana use. Experts were influenced by patient factors, provider beliefs, and marijuana policy, highlighting the need for further research.

Chronic Opioid Therapy: A Scoping Literature Review on Evolving Clinical and Scientific Definitions

The management of chronic noncancer pain (CNCP) with chronic opioid therapy (COT) is controversial. There is a lack of consensus on how COT is defined resulting in unclear clinical guidance. This scoping review identifies and evaluates evolving COT definitions throughout the published clinical and scientific literature. Databases searched included PubMed, Embase, and Web of Science. A total of 227 studies were identified from 8,866 studies published between January 2000 and July 2019. COT definitions were classified by pain population of application and specific dosage/duration definition parameters, with results reported according to PRISMA-ScR. Approximately half of studies defined COT as "days' supply duration >90 days" and 9.3% defined as ">120 days' supply," with other days' supply cut-off points (>30, >60, or >70) each appearing in <5% of total studies. COT was defined by number of prescriptions in 63 studies, with 16.3% and 11.0% using number of initiations or refills, respectively. Few studies explicitly distinguished acute treatment and COT. Episode duration/dosage criteria was used in 90 studies, with 7.5% by Morphine Milligram Equivalents + days' supply and 32.2% by other "episode" combination definitions. COT definitions were applied in musculoskeletal CNCP (60.8%) most often, and typically in adults aged 18 to 64 (69.6%). The usage of ">90 days' supply" COT definitions increased from 3.2 publications/year before 2016 to 20.7 publications/year after 2016. An increasing proportion of studies define COT as ">90 days' supply." The most recent literature trends toward shorter duration criteria, suggesting that contemporary COT definitions are increasingly conservative. PERSPECTIVE: This study summarized the most common, current definition criteria for chronic opioid therapy (COT) and recommends adoption of consistent definition criteria to be utilized in practice and research. The most recent literature trends toward shorter duration criteria overall, suggesting that COT definition criteria are increasingly stringent.

Reduced urinary opioid levels from pain management patients associated with marijuana use

Aim: Marijuana use has been postulated to modulate opioid use, dependence and withdrawal. Broad target drug testing results provide a unique perspective to identify any potential interaction between marijuana use and opioid use. Materials & methods: Using a dataset of approximately 800,000 urine drug test results collected from pain management patients of a time from of multiple years, creatinine corrected opioid levels were evaluated to determine if the presence of the primary marijuana marker 11-nor-carboxy-tetrahydrocannabinol (THC-COOH) was associated with statistical differences in excreted opioid concentrations. Results & conclusion: For each of the opioids investigated (codeine, morphine, hydrocodone, hydromorphone, oxycodone, oxymorphone, fentanyl and buprenorphine), marijuana use was associated with statistically significant lower urinary opiate levels than in samples without indicators of marijuana use.

Increased frequency of urine drug testing in chronic opioid therapy: rationale for strategies for enhancing patient adherence and safety

OBJECTIVE

To determine the average amount of time required to detect opioid aberrancy based upon varying frequencies of urine drug testing (UDT) in a community-based, tertiary care pain management center.

SUBJECTS

This study was a retrospective analysis of 513 consecutive patients enrolled in a medication management program, receiving chronic opioid therapy between January 1, 2018 and December 31, 2018.

METHODS

Data were extracted from medical records including age at start of the study period, sex, ethnicity, marital status, and smoking status. UDT was performed at each prescribing visit via semi-quantitative immunoassay, and at the discretion of the clinician, a sample was sent for external confirmation using gas chromatography or mass spectrometry testing to clarify questions of inconsistency with patients' reports or prescribed medications. For purposes of the study, "opioid aberrancy" was defined through inconsistent UDT.

RESULTS

One hundred and fifteen patients (22.4%) had at least one inconsistent UDT during the study period, and 160 (2.8%) of all UDTs were inconsistent. At this rate of inconsistency, it was determined that with monthly screening, it would require up to 36 months to detect a single aberrancy, and semi-annual testing would require as long as 216 months to detect an aberrancy.

CONCLUSIONS

More frequent UDT can be helpful in terms of earlier detection of opioid aberrancy. This has significant implications for helping avoid misuse, overdose, and potential diversion. Furthermore, early detection will ideally result in earlier implementation of treatment of the emotional and behavioral factors causing aberrancy. Such early intervention is more likely to be successful in terms of reducing substance misuse in a chronic pain population, providing a higher degree of patient adherence and safety, as well as producing superior overall patient outcomes. Finally, economic benefits may include substantial savings through avoidance of the necessity for drug rehabilitation and the empirically established higher costs of treating opioid misuse comorbidities.

Perspectives on cannabis as a substitute for opioid analgesics

With the opioid epidemic reaching new heights in the USA, it has become critical to find suitable alternatives to opioids. Cannabis, an antinociceptive, is a strong contender to help patients reduce their opioid usage. A growing literature has been examining the complex effects cannabis has on pain relief and on opioid usage; whether it is a substitute for opioids or increases their use. This review explores the studies that compare cannabis-opioid interactions and presents some challenges of cannabis research and usage. The practical clinical pharmacology of cannabis as an analgesic, including the route of administration, safety and pharmacokinetics, are discussed to address the concerns, as well as possible solutions, of cannabis as a pain reliever.

Benefits and adverse effects of cannabis use among adults with persistent pain

BACKGROUND

Increasingly, states are legalizing cannabis for recreational use. Improved accessibility may allow adults with pain to use cannabis more liberally. Greater understanding is needed about how adults with pain perceive the effects of cannabis, particularly those who also use opioid analgesics.

PURPOSE

To examine the perceived effects of cannabis among adults who have been prescribed opioids for persistent pain.

METHODS

A survey-based study was conducted on 150 adults with persistent pain. Data from two open-ended questions were analyzed using a qualitative descriptive approach and content analysis.

FINDINGS

Data analysis led to identification of two main categories and five subcategories: (a) cannabis benefits with two subcategories of "physiological" and "mental health"; (b) adverse effects with three subcategories of "physiological," "mental health," and "social and economic concerns."

DISCUSSION

Both positive and negative effects of cannabis were described. Nursing practice, including open communication with patients, can be guided by patient perspectives surrounding benefits and adverse effects of cannabis use.

Marijuana and Prescription Pain Reliever Use among Cigarette Smokers

Due to marijuana's analgesic effects and its growing national legal status, it is likely that marijuana's rising prevalence will impact prescription pain reliever (PPR) use. The present study investigates the relationship between marijuana and PPR use among U.S. adult current cigarette smokers. Data were analyzed from the Tobacco and Attitudes Beliefs Survey II, with 348 current cigarette smokers, aged 24-88. Logistic regression was used to examine the likelihood of current (past 30 days) PPR use by marijuana use (never, ever, and current) among cigarette smokers. Among PPR users (N = 76), we also investigated whether marijuana use frequency predicted current PPR use. Compared to never marijuana users, participants were more likely to report past 30-day PPR use if they have ever used marijuana (AOR: 2.58, 95% CI: 1.51-4.43) or have used marijuana in the past 30 days (AOR: 3.38, CI: 1.76-6.49). No significant relationship was found between marijuana use frequency and PPR use. Thus, in this sample of adult cigarette smokers, past and current marijuana users were two to three times more likely to report PPR use than never marijuana users. These findings can help inform policymakers and healthcare providers in their fight against the opioid epidemic.