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BACKGROUND: There is a lack of integrated treatment for chronic pain and opioid use disorder (OUD). Yoga and physical therapy (PT) may improve pain and physical function of people living with (PLW) chronic low back pain (CLBP) and may also reduce opioid craving and use, but PLW with OUD face barriers to accessing these interventions. We hypothesize that compared to treatment as usual (TAU), providing yoga and PT onsite at opioid treatment programs (OTPs) will be effective at improving pain, opioid use, and quality of life among people with CLBP and OUD, and will be cost-effective. METHODS: In this hybrid type-1 effectiveness-implementation study, we will randomly assign 345 PLW CLBP and OUD from OTPs in the Bronx, NY, to 12 weeks of onsite yoga, onsite PT, or TAU. Primary outcomes are pain intensity, opioid use, and cost-effectiveness. Secondary outcomes include physical function and overall well-being. DISCUSSION: This trial tests an innovative, patient-centered approach to combined management for pain and OUD in real-world settings. We rigorously examine the efficacy of yoga and PT onsite at OTPs as nonpharmacologic, cost-effective treatments among people with CLBP and OUD who face barriers to integrated care.
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BACKGROUND: Adults living with HIV have disproportionately high chronic pain, prescription opioid use, history of substance use, and incarceration. While incarceration can have long-lasting health impacts, prior studies have not examined whether distant (>1 year prior) incarceration is associated with opioid use for chronic pain, or with opioid misuse or opioid use disorder among people living with HIV and chronic pain. METHODS: We conducted a secondary analysis of a prospective cohort study of adults living with HIV and chronic pain. The independent variables were any distant incarceration and drug-related distant incarceration (both dichotomous). Dependent variables were current long-term opioid therapy, current opioid misuse, and current opioid use disorder. A series of multivariate logistic regression models were conducted, adjusting for covariates. RESULTS: In a cohort of 148 participants, neither distant incarceration nor drug-related incarceration history were associated with current long-term opioid therapy. Distant incarceration was associated with current opioid misuse (AOR 3.28; 95% CI: 1.41-7.61) and current opioid use disorder (AOR 4.40; 95% CI: 1.54-12.56). Drug-related incarceration history was also associated with current opioid misuse (AOR 4.31; 95% CI: 1.53-12.17) and current opioid use disorder (AOR 7.28; 95% CI: 2.06-25.71). CONCLUSIONS: The positive associations of distant incarceration with current opioid misuse and current opioid use disorder could indicate a persistent relationship between incarceration and substance use in people living with HIV and chronic pain. Additional research on opioid use among formerly incarcerated individuals in chronic pain treatment is needed.
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OBJECTIVES: In a longitudinal cohort of patients with HIV and chronic pain, we sought to (1) identify trajectories of opioid misuse and opioid use disorder (OUD) symptoms, and to (2) determine whether prescription opioid dose was associated with symptom trajectories. METHODS: We leveraged an existing 12-month longitudinal observational study, Project PIMENTO, of persons living with HIV and chronic pain who received care at a hospital system in the Bronx, New York. A quota sampling strategy was used to ensure variability of prescribed opioid use in the recruited sample. Research interviews occurred quarterly and assessed opioid behaviors and criteria for OUD. To describe symptom trajectories, we conducted 2 separate longitudinal latent class analyses to group participants into (1) opioid misuse and (2) OUD trajectories. Finally, we used multinomial logistic regression models to examine the relationship between baseline prescription opioid dose and symptom trajectories. RESULTS: Of 148 total participants, at baseline 63 (42.6%) had an active opioid prescription, 69 (46.6%) met the criteria for current opioid misuse, and 44 (29.7%) met the criteria for current OUD. We found 3 opioid misuse and 3 OUD symptom trajectories, none of which showed worsened symptoms over time. In addition, we found that higher prescription opioid dose at baseline was associated with a greater OUD symptom trajectory. CONCLUSIONS: Opioid misuse and OUD were common but stable or decreasing over time. Although these results are reassuring, our findings also support prior studies that high-dose opioid therapy is associated with greater OUD symptoms.
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Chronic Pain , HIV Infections , Opioid-Related Disorders , Adult , Humans , Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Opioid-Related Disorders/drug therapy , Longitudinal Studies , HIV Infections/drug therapyABSTRACT
BACKGROUND: Despite its safety and effectiveness, methadone treatment for opioid use disorder (OUD) remains highly stigmatized, and stringent opioid treatment program (OTP) attendance requirements create barriers to retention for many patients. The COVID-19 pandemic prompted a shift in federal regulations governing methadone, including a blanket exemption permitting increased take-home doses of methadone. We studied the impact of these changes upon established patients' experiences of OTP care. METHOD: We conducted semi-structured qualitative interviews with 18 OTP patients who met our criteria of having established OTP care (i.e., enrolled at the OTP for at least 12 weeks) and were administered methadone three to six days weekly prior to the March 2020 blanket exemption. Interviews centered on how COVID-19 had affected their experiences of receiving treatment at an OTP. RESULTS: We identified three interconnected themes relevant to transformation of OTP care by the COVID-19 pandemic. Participants described mourning therapeutic OTP relationships and structure (1. loss), yet feeling more satisfaction with fewer in-person OTP visits (2. liberation), and appreciating more opportunities to self-direct their OUD care (3. agency). DISCUSSION: Structural changes made to OTP care early in the COVID-19 pandemic resulted in loss of community and structure. Increasing the availability of take-home methadone also improved patient experience and sense of agency. Our findings join a diverse body of converging evidence in support of policy changes allowing for more flexible dosing and individualized OTP care.
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COVID-19 , Opioid-Related Disorders , Humans , Analgesics, Opioid/therapeutic use , Opiate Substitution Treatment/methods , Pandemics , Methadone/therapeutic use , Opioid-Related Disorders/drug therapy , Patient Outcome AssessmentABSTRACT
BACKGROUND: Therapeutic use of cannabis is common in the United States (up to 18.7% of Americans aged ≥12), and dispensaries in the US are proliferating rapidly. However, the efficacy profile of medical cannabis is unclear, and customers often rely on dispensary staff for purchasing decisions. The objective was to describe cannabis dispensary staff perceptions of medical cannabis benefits and risks, as well as its safety in high-risk populations. METHODS: Online Survey study conducted using Qualtrics from February 13, 2020 to October 2, 2020 with a national sample of dispensary staff who reportedinteracting with customers in a cannabis dispensary selling tetrahydrocannabinol-containing products. Participants were queried about benefits ("helpfulness") and risks ("worry") about cannabis for a variety of medical conditions, and safety in older adults and pregnant women on a five-point Likert scale. These results were then collapsed into three categories including "neutral" (3/5). "I don't know" (uncertainty) was a response option for helpfulness and safety. RESULTS: Participants (n = 434) were from 29 states and included patient-facing dispensary staff (40%); managers (32%); pharmacists (13%); and physicians, nurse practitioners, or physician assistants (5%). Over 80% of participants perceived cannabis as helpful for post-traumatic stress disorder (88.7%), epilepsy (85.3%) and cancer (83.4%). Generally, participants were not concerned about potential cannabis risks, including increased use of illicit drugs (76.3%), decreases in intelligence (74.4%), disrupted sleep (71.7%), and new/worsening health problems from medical cannabis use (70.7%). Cannabis was considered safe in older adults by 81.3% of participants, though there was much less consensus on safety in pregnancy. CONCLUSIONS: Cannabis dispensary staff generally view medical cannabis as beneficial and low-risk. However, improvements in dispensary staff training, an increased role for certifying clinicians, and interventions to reduce dispensary staff concerns (e.g., cost, judgment) may improve evidence-based staff recommendations to patients seeking medical cannabis.
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Cannabis , Illicit Drugs , Medical Marijuana , Humans , Female , United States , Pregnancy , Aged , Medical Marijuana/adverse effects , Dronabinol , Cannabinoid Receptor AgonistsABSTRACT
BACKGROUND: Legal cannabis is available in more than half of the United States. Health care professionals (HCPs) rarely give recommendations on dosing or safety of cannabis due to limits imposed by policy and lack of knowledge. Customer-facing cannabis dispensary staff, including clinicians (pharmacists, nurses, physician's assistants), communicate these recommendations in the absence of HCP recommendations. Little is known about how dispensary staff approach individuals with complex medical and psychiatric comorbidities. Using responses from a national survey, we describe how cannabis dispensary staff counsel customers with medical and psychiatric comorbidities on cannabis use and examine whether state-specific cannabis policy is associated with advice given to customers. METHODS: National, cross-sectional online survey study from February 13, 2020 to October 2, 2020 of dispensary staff at dispensaries that sell delta-9-tetrahydrocannabinol containing products. Measures include responses to survey questions about how they approach customers with medical and psychiatric comorbidities; state medicalization score (scale 0-100; higher score indicates more similarity to regulation of traditional pharmacies); legalized adult-use cannabis (yes/no). We conducted multiple mixed effects multivariable logistic regression analyses to understand relationships between state medicalization and dispensary employees' perspectives. RESULTS: Of 434 eligible respondents, most were budtenders (40%) or managers (32%), and a minority were clinicians (18%). State medicalization score was not associated with responses to most survey questions. It was associated with increased odds of encouraging customers with medical comorbidities to inform their traditional HCP of cannabis use (Odds ratio [OR]=1.2, 95% confidence interval [CI] 1.0-1.4, p=0.03) and reduced odds of recommending cannabis for individuals with cannabis use disorder (CUD) (OR=0.8, 95% CI 0.7-1.0, p=0.04). Working in a state with legalized adult-use cannabis was associated with recommending traditional health care instead of cannabis in those with serious mental illness (OR 2.2, 95% CI 1.1-4.7, p=0.04). Less than half of respondents believed they had encountered CUD (49%), and over a quarter did not believe cannabis is addictive (26%). CONCLUSIONS: When managing cannabis dosing and safety in customers with medical and psychiatric comorbidity, dispensary staff preferred involving individuals' traditional HCPs. Dispensary staff were skeptical of cannabis being addictive. While state regulations of dispensaries may impact the products individuals have access to, they were not associated with recommendations that dispensary staff gave to customers. Alternative explanations for dispensary recommendations may include regional or store-level variation not captured in this analysis.
Subject(s)
Cannabis , Medical Marijuana , Adult , Humans , Cannabis/adverse effects , Counseling , Cross-Sectional Studies , Medical Marijuana/therapeutic use , Self Report , United States/epidemiology , Health PolicyABSTRACT
Background: Over the past decade, there has been increased utilization of medical cannabis (MC) in the United States. Few studies have described sociodemographic and clinical factors associated with MC use after certification and more specifically, factors associated with use of MC products with different cannabinoid profiles. Methods: We conducted a longitudinal cohort study of adults (N=225) with chronic or severe pain on opioids who were newly certified for MC in New York State and enrolled in the study between November 2018 and January 2022. We collected data over participants' first 3 months in the study, from web-based assessment of MC use every 2 weeks (unit of analysis). We used generalized estimating equation models to examine associations of sociodemographic and clinical factors with (1) MC use (vs. no MC use) and (2) use of MC products with different cannabinoid profiles. Results: On average, 29% of the participants used predominantly high delta-9-tetrahydrocannabinol (THC) MC products within the first 3 months of follow-up, 30% used other MC products, and 41% did not use MC products. Non-Hispanic White race, pain at multiple sites, and past 30-day sedative use were associated with a higher likelihood of MC use (vs. no MC use). Current tobacco use, unregulated cannabis use, and enrollment in the study during the COVID-19 pandemic were associated with a lower likelihood of MC use (vs. no MC use). Among participants reporting MC use, female gender and older age were associated with a lower likelihood of using predominantly high-THC MC products (vs. other MC products). Conclusion: White individuals were more likely to use MC after certification, which may be owing to access and cost issues. The findings that sedative use was associated with greater MC use, but tobacco and unregulated cannabis were associated with less MC use, may imply synergism and substitution that warrant further research. From the policy perspective, additional measures are needed to ensure equitable availability of and access to MC. Health practitioners should check patients' history and current use of sedative, tobacco, and unregulated cannabis before providing an MC recommendation and counsel patients on safe cannabis use. clinicaltrials.gov (NCT03268551).
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BACKGROUND: The COVID-19 pandemic disrupted health care but it is unknown how it impacted the lives of people using medical cannabis for chronic pain. OBJECTIVE: To understand the experiences of individuals from the Bronx, NY, who had chronic pain and were certified to use medical cannabis during the first wave of the COVID-19 pandemic. METHODS: We conducted 1:1 semi-structured qualitative telephone interviews from March through May 2020 with a convenience sample of 14 individuals enrolled in a longitudinal cohort study. We purposively recruited participants with both frequent and infrequent patterns of cannabis use. Interviews addressed the impact of the COVID-19 pandemic on daily life, symptoms, medical cannabis purchase, and use. We conducted a thematic analysis, with a codebook approach, to identify and describe prominent themes. RESULTS: Participants' median age was 49 years, nine were female, four were Hispanic, four were non-Hispanic White, and four were non-Hispanic Black. We identified three themes: (1) disrupted access to health services, (2) disrupted access to medical cannabis due to the pandemic, and (3) mixed impact of chronic pain on social isolation and mental health. Due to increased barriers to health care in general and to medical cannabis specifically, participants reduced medical cannabis use, stopped use, or substituted medical cannabis with unregulated cannabis. Living with chronic pain both prepared participants for the pandemic and made the pandemic more difficult. CONCLUSION: The COVID-19 pandemic amplified pre-existing challenges and barriers to care, including to medical cannabis, among people with chronic pain. Understanding pandemic-era barriers may inform policies in ongoing and future public health emergencies.
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Introduction: The learning health system (LHS) aligns science, informatics, incentives, stakeholders, and culture for continuous improvement and innovation. The Agency for Healthcare Research and Quality and the Patient-Centered Outcomes Research Institute designed a K12 initiative to grow the number of LHS scientists. We describe approaches developed by 11 funded centers of excellence (COEs) to promote partnerships between scholars and health system leaders and to provide mentored research training. Methods: Since 2018, the COEs have enlisted faculty, secured institutional resources, partnered with health systems, developed and implemented curricula, recruited scholars, and provided mentored training. Program directors for each COE provided descriptive data on program context, scholar characteristics, stakeholder engagement, scholar experiences with health system partnerships, roles following program completion, and key training challenges. Results: To date, the 11 COEs have partnered with health systems to train 110 scholars. Nine (82%) programs partner with a Veterans Affairs health system and 9 (82%) partner with safety net providers. Clinically trained scholars (n = 87; 79%) include 70 physicians and 17 scholars in other clinical disciplines. Non-clinicians (n = 29; 26%) represent diverse fields, dominated by population health sciences. Stakeholder engagement helps scholars understand health system and patient/family needs and priorities, enabling opportunities to conduct embedded research, improve outcomes, and grow skills in translating research methods and findings into practice. Challenges include supporting scholars through roadblocks that threaten to derail projects during their limited program time, ranging from delays in access to data to COVID-19-related impediments and shifts in organizational priorities. Conclusions: Four years into this novel training program, there is evidence of scholars' accomplishments, both in traditional academic terms and in terms of moving along career trajectories that hold the potential to lead and accelerate transformational health system change. Future LHS training efforts should focus on sustainability, including organizational support for scholar activities.
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BACKGROUND: In response to the opioid overdose crisis in the United States, many states implemented policies to guide opioid prescribing, but their impact on overdose mortality (prescription and non-prescription) remains poorly understood. We examined the impact of U.S. state opioid-prescribing policies on opioid overdose mortality following implementation. METHODS: We calculated opioid overdose mortality rates from 1999-2016 by U.S. state using the CDC WONDER database, overall and separately for overdose deaths from prescription and non-prescription opioids. For each state, policies active on 1/1/2014 were reviewed for the presence and strength of six provisions recommending judicious opioid prescribing practices; "strong" provisions used the words "should," "shall," or "must". Interrupted time series (ITS) tested the association of each strong provision with overdose mortality, overall and separately for prescription and non-prescription opioids, in the two years following implementation. Sensitivity analyses compared between states, used time-lagged analyses, and excluded synthetic opioids from non-prescription opioid deaths. RESULTS: All six provisions had consistent direction of effect in ITS and sensitivity analyses. Strong provisions for prescriber training and limits on opioid dose reduced the slope of overall and prescription opioid overdose mortality in both ITS and sensitivity analyses. Reduced non-prescription opioid overdose mortality was only associated with strong provision for prescriber training. Some provisions had a negative impact. In ITS, strong provision for prescriber response to misuse increased the slope of non-prescription opioid overdose mortality. Strong provision for mandatory prescription drug monitoring program use had no relationship with overdose mortality in ITS and was associated with increased overall, prescription and non-prescription opioid overdose mortality in between-state sensitivity analysis. CONCLUSION: Opioid prescribing policies in U.S. states at the peak of the prescription opioid epidemic had modest mortality benefit, and did not reduce non-prescription opioid overdose mortality. A strong provision for prescriber training was the only provision associated with reduced prescription and non-prescription opioid overdose mortality. These findings can inform future efforts addressing prescription drug epidemics.
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Drug Overdose , Opiate Overdose , United States/epidemiology , Humans , Analgesics, Opioid/adverse effects , Opioid Epidemic , Opiate Overdose/drug therapy , Opiate Overdose/epidemiology , Practice Patterns, Physicians' , Drug Overdose/epidemiologyABSTRACT
Despite numerous challenges, Montefiore Medical Center in New York City implemented a program aimed at providing comprehensive, evidence-based medical cannabis certifications to patients, including those who have been historically disenfranchised, and shares insights from five years of operation.
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OBJECTIVES: Changes in health care delivery during the COVID-19 pandemic may have impacted opioid prescribing. This study evaluated the impact of restrictions on in-person care on opioid prescribing in the outpatient setting. The hypothesis was that after restrictions to in-person care were implemented, there would be a reduction in the number of chronic and non-chronic opioid prescriptions. METHODS: An interrupted time series analysis was conducted to compare the number of weekly opioid prescriptions between baseline (1/1/2019-3/14/2020), restriction (3/15/2020-6/6/2020), and reopening (6/7/2020-10/31/2020) periods at outpatient practices within a health system in Bronx, NY. Analyses were stratified by prescription type (chronic if the patient had been prescribed opioids for >90 days, or non-chronic). RESULTS: For chronic opioid prescriptions, the week restrictions were implemented, there was an increase in the number of prescriptions compared to what was predicted if there had been no interruption (34.8 prescriptions, 95% CI: 8.0, 61.7). Subsequently, the weekly trend in prescribing was not different in the restriction period or in the reopening period compared to the previous time periods. For non-chronic opioid prescriptions, during the restriction period, the weekly trend in prescribing decreased compared to baseline (-5.0 prescriptions/week, 95% CI: -9.0, -1.0). Subsequently, during the reopening period, the weekly trend in prescribing increased compared to the restriction period (6.4 prescriptions/week, 95% CI: 2.2, 10.7). CONCLUSIONS: Despite abrupt restrictions on in-person care, chronic opioid prescriptions did not decrease, which is evidence that providers evolved to meet patient needs. Changes in non-chronic prescriptions are likely related to patients electing not to pursue care for acute pain or challenges with appointment availability.
Subject(s)
Analgesics, Opioid , COVID-19 , Analgesics, Opioid/therapeutic use , Drug Prescriptions , Humans , Interrupted Time Series Analysis , Outpatients , Pandemics , Practice Patterns, Physicians' , SARS-CoV-2Subject(s)
Anemia, Sickle Cell/complications , Marijuana Smoking , Medical Marijuana , Adult , Anemia, Sickle Cell/pathology , Cross-Sectional Studies , Female , Humans , Male , Marijuana Smoking/adverse effects , Medical Marijuana/adverse effects , Medical Marijuana/therapeutic use , Necrosis/pathology , Patient Acceptance of Health CareABSTRACT
BACKGROUND: To provide Centers for Disease Control and Prevention (CDC) guideline-recommended practices for patients on long-term opioid therapy (LTOT) including individualized decisions about opioid dose reduction, we developed the Power Over Pain (POP) Clinic. OBJECTIVE: To describe frequency and reasons for opioid dose reduction and pre-post adherence to CDC guideline-recommended practices. DESIGN: Retrospective chart review with qualitative and pre-post analysis. PATIENTS AND SETTING: Patients at an urban internal medicine teaching practice-prescribed LTOT were seen at POP Clinic at least once. METHODS: Opioid dose reduction was defined by reduction in morphine-equivalent daily dose (MEDD) at 6 and 12 months after the first POP Clinic visit compared to baseline using paired t-tests. Among patients with a dose reduction, reasons documented in POP Clinic notes were qualitatively examined. Dichotomous measures of receiving four CDC guideline-recommended practices (controlled substance agreement [CSA], urine drug testing [UDT], prescription monitoring program review, and naloxone dispensing) at baseline versus 6 and 12 months were compared using McNemar's tests. RESULTS: Of the 70 patients, most were female (66 percent) and Hispanic (54 percent). Forty-three patients (61 percent) had an opioid dose reduction in 12 months after the first POP Clinic visit. The most frequent reason was low or unclear benefit of continuing the current dose (49 percent). Mean MEDD was reduced from 69 mg to 57 mg at 6 months (p < 0.01) and to 56 mg at 12 months (p < 0.01). Completing a CSA, UDT, and naloxone distribution increased at 6 and 12 months (p < 0.01). CONCLUSIONS: Individualized risk assessment in a primary care-based opioid management clinic is feasible and can result in opioid dose reduction and guideline adherence.
Subject(s)
Analgesics, Opioid , Chronic Pain , Analgesics, Opioid/adverse effects , Chronic Pain/diagnosis , Chronic Pain/drug therapy , Drug Tapering , Female , Guideline Adherence , Humans , Primary Health Care , Retrospective StudiesABSTRACT
Chronic pain, pain catastrophizing, and mental health disorders such as anxiety or depression frequently occur together and are challenging to treat. To help understand the relationship between these conditions, we sought to identify distinct phenotypes associated with worse pain and function. In a cohort of people with chronic pain on opioids seeking medical cannabis in New York, we conducted latent class analysis to identify clusters of participants based on pain catastrophizing and mental health symptoms of depression, anxiety, post-traumatic stress disorder (PTSD) and attention deficit/hyperactivity disorder (ADHD). We then compared clusters with respect to sociodemographic and clinical characteristics using descriptive statistics. Among 185 participants, we identified four discrete groups: low pain catastrophizing and low mental health symptoms (49% of participants), low pain catastrophizing and ADHD-predominant mental health symptoms (11%), high pain catastrophizing and anxiety-predominant mental health symptoms (11%), and high pain catastrophizing and high mental health symptoms (30%). The group with high pain catastrophizing and high mental health symptoms had the worst pain intensity and interference, disability, insomnia, and quality of life, compared to the two groups with lower pain catastrophizing, though not all differences were statistically significant. Our findings highlight the importance of identifying and addressing pain catastrophizing in patients with comorbid chronic pain and mental health symptoms.
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Importance: Over the last decade, cannabis has become more accessible through the proliferation of dispensaries in states that have legalized its use. Most patients using cannabis for medical purposes report getting advice from dispensaries, yet there has been little exploration of frontline dispensary staff practices. Objective: To describe the practices of frontline dispensary workers who interact with customers purchasing cannabis for medical purposes and assess whether dispensary practices are associated with medicalization of state cannabis laws (degree to which they resemble regulation of prescription or over-the-counter drugs) and statewide adult use. Design, Setting, and Participants: This nationwide cross-sectional survey study was conducted from February 13, 2020, to October 2, 2020, using an online survey tool. Potential respondents were eligible if they reported working in a dispensary that sells tetrahydrocannabinol-containing products and interacting with customers about cannabis purchases. Main Outcomes and Measures: Participant responses to questions about formulating customer recommendations and talking to customers about risks. Results: The 434 survey responses from 351 unique dispensaries were most often completed by individuals who identified as budtenders (40%), managers (32%), and pharmacists (13%). Most respondents reported basing customer recommendations on the customer's medical condition (74%), the experiences of other customers (70%), the customer's prior experience with cannabis (67%), and the respondent's personal experience (63%); fewer respondents relied on clinician input (40%), cost (45%), or inventory (12%). Most respondents routinely advised customers about safe storage and common adverse effects, but few counseled customers about cannabis use disorder, withdrawal, motor vehicle collision risk, or psychotic reactions. A higher state medicalization score was significantly associated with using employer training (odds ratio, 1.41; 95% CI, 1.18-1.67) and physician or clinician input (odds ratio, 1.23; 95% CI, 1.05-1.43) as a basis for recommendation. Medicalization score was not associated with counseling about cannabis risks. Conclusions and Relevance: This survey study provides insight into how frontline dispensary staff base cannabis recommendations and counsel about risks. The findings may have utility for clinicians to counsel patients who purchase cannabis, customers who want to be prepared for a dispensary visit, and policy makers whose decisions affect cannabis laws.
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Cannabis , Consumer Behavior , Medical Marijuana , Adult , Cross-Sectional Studies , Female , Humans , Legislation, Drug , Male , Surveys and Questionnaires , United StatesABSTRACT
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.
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Cannabis , Chronic Pain , Medical Marijuana , Adult , Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Chronic Pain/epidemiology , Female , Humans , Male , Medical Marijuana/therapeutic use , Middle Aged , New York City/epidemiology , Prospective StudiesABSTRACT
BACKGROUND: There are important differences in medical cannabis laws across the U.S.. However, prior studies investigating the effect of medical cannabis laws on outcomes disregard this heterogeneity. Findings from the body of literature using a simple dichotomous assessment of whether a particular state has enacted a medical cannabis law are equivocal or conflicting. To advance the science, a national advisory group of experts in medical cannabis developed and utilized a systematic methodology, the "medicalization of cannabis laws standardized scale" (MCLaSS), to characterize and quantify state laws' degree of medicalization, the extent to which medical cannabis is treated similarly to pharmaceutical medications. METHODS: We conducted a systematic review of state-level medical cannabis laws in the U.S. Using the novel MCLaSS, we calculated seven domain scores (patient-clinician relationship, manufacturing and testing, product labeling, types of products, supply and dose limit, prescription drug monitoring program, and dispensing practices) and a summary score for each state which had enacted medical cannabis laws as of July 2019. RESULTS: There is substantial heterogeneity in the degree of medicalization of states' medical cannabis laws, as demonstrated by the MCLaSS summary score, which ranged from 23 (least medicalized) to 86 (most medicalized). CONCLUSION: This methodology will advance the evidence base about the impact of medical cannabis laws on patient and public health outcomes, which is urgently needed to ensure the development of policies that minimize the risks and maximize the benefits of medical cannabis.