Factors Associated with Medical Cannabis Use After Certification: A Three-Month Longitudinal Study.

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).

Clinical Approaches to Cannabis: A Narrative Review.

Cannabis use in the United States is growing at an unprecedented pace. Most states in the United States have legalized medical cannabis use, and many have legalized nonmedical cannabis use. In this setting, health care professionals will increasingly see more patients who have questions about cannabis use, its utility for medical conditions, and the risks of its use. This narrative review provides an overview of the background, pharmacology, therapeutic use, and potential complications of cannabis.

Medical Record Documentation About Opioid Tapering: Examining Benefit-to-Harm Framework and Patient Engagement.

OBJECTIVE: Guidelines recommend that clinicians make decisions about opioid tapering for patients with chronic pain using a benefit-to-harm framework and engaging patients. Studies have not examined clinician documentation about opioid tapering using this framework. DESIGN AND SETTING: Thematic and content analysis of clinician documentation about opioid tapering in patients' medical records in a large academic health system. METHODS: Medical records were reviewed for patients aged 18 or older, without cancer, who were prescribed stable doses of long-term opioid therapy between 10/2015 and 10/2016 then experienced an opioid taper (dose reduction ≥30%) between 10/2016 and 10/2017. Inductive thematic analysis of clinician documentation within six months of taper initiation was conducted to understand rationale for taper, and deductive content analysis was conducted to determine the frequencies of a priori elements of a benefit-to-harm framework. RESULTS: Thematic analysis of 39 patients' records revealed 1) documented rationale for tapering prominently cited potential harms of continuing opioids, rather than observed harms or lack of benefits; 2) patient engagement was variable and disagreement with tapering was prominent. Content analysis found no patients' records with explicit mention of benefit-to-harm assessments. Benefits of continuing opioids were mentioned in 56% of patients' records, observed harms were mentioned in 28%, and potential harms were mentioned in 90%. CONCLUSIONS: In this study, documentation of opioid tapering focused on potential harms of continuing opioids, indicated variable patient engagement, and lacked a complete benefit-to-harm framework. Future initiatives should develop standardized ways of incorporating a benefit-to-harm framework and patient engagement into clinician decisions and documentation about opioid tapering.

A Multicenter Randomized Controlled Trial of Intensive Group Therapy for Tobacco Treatment in HIV-Infected Cigarette Smokers.

BACKGROUND: Tobacco use has emerged as the leading killer of persons living with HIV (PLWH) in the United States. Little is known about the efficacy of tobacco treatment strategies in PLWH. DESIGN: Randomized controlled trial comparing Positively Smoke Free (PSF), an intensive group therapy intervention targeting HIV-infected smokers, to brief advice to quit. All participants were offered a 12-week supply of nicotine patches. METHODS: A cohort of 450 PLWH smokers, recruited from HIV-care centers in the Bronx, New York, and Washington, DC, were randomized 1:1 into the PSF or brief advice to quit conditions. PSF is an 8-session program tailored to address the needs and concerns of HIV-infected smokers and delivered by a trained smoking cessation counselor and PLWH ex-smoker peer pair. The primary outcome was biochemically confirmed, 7-day point-prevalence abstinence at 6 months. RESULTS: In the intention to treat analysis, PSF condition subjects had nearly double the quit rate of controls, 13% vs. 6.6% [odds ratio = 2.10 (95% confidence interval = 1.10 to 4.14), P = 0.04], at 3 months, but no significant difference in abstinence was observed at 6 months. PSF participants exhibited lower nicotine dependence and higher self-efficacy to resist smoking temptations at both 3 and 6 months compared with controls. Lower educational attainment, current cocaine use, past use of nicotine patches, and higher distress tolerance were significant predictors of continued smoking at 6 months. CONCLUSIONS: These findings suggest a role for group therapy among tobacco treatments for PLWH smokers, but strategies to augment the durability of early effects are needed.

An expanded HIV screening strategy in the Emergency Department fails to identify most patients with undiagnosed infection: insights from a blinded serosurvey.

Screening for HIV in Emergency Departments (EDs) is recommended to address the problem of undiagnosed HIV. Serosurveys are an important method for estimating the prevalence of undiagnosed HIV and can provide insight into the effectiveness of an HIV screening strategy. We performed a blinded serosurvey in an ED offering non-targeted HIV screening to determine the proportion of patients with undiagnosed HIV who were diagnosed during their visit. The study was conducted in a high-volume, urban ED and included patients who had blood drawn for clinical purposes and had sufficient remnant specimen to undergo deidentified HIV testing. Among 4752 patients not previously diagnosed with HIV, 1403 (29.5%) were offered HIV screening and 543 (38.7% of those offered) consented. Overall, undiagnosed HIV was present in 12 patients (0.25%): six among those offered screening (0.4%), and six among those not offered screening (0.2%). Among those with undiagnosed HIV, two (16.7%) consented to screening and were diagnosed during their visit. Despite efforts to increase HIV screening, more than 80% of patients with undiagnosed HIV were not tested during their ED visit. Although half of those with undiagnosed HIV were missed because they were not offered screening, the yield was further diminished because a substantial proportion of patients declined screening. To avoid missed opportunities for diagnosis in the ED, strategies to further improve implementation of HIV screening and optimize rates of consent are needed.

Undocumented African Immigrants' Experiences of HIV Testing and Linkage to Care.

In the United States, undocumented African immigrants living with HIV enter care late, potentially leading to adverse individual and population health outcomes, yet little is known about the specific experiences of HIV diagnosis and linkage to care among this population. We conducted individual, semi-structured interviews with adults who were undocumented African immigrants living with HIV in New York City. Interviews explored perspectives regarding individual, social, institutional, and societal barriers and facilitators of HIV testing and linkage to care. Of 14 participants from 9 different African countries, 9 were women and the median age was 44 years (interquartile range: 42-50). Participants described fear of discovery by immigration authorities as a substantial barrier to HIV testing and linking to initial medical appointments. Actual and perceived structural barriers to both testing and care linkage included difficulty obtaining health insurance and a belief that undocumented immigrants are ineligible for any health services. Participants also expressed reluctance to be tested because of HIV-related stigma within the immigrant communities that they heavily relied on. After diagnosis, however, participants overwhelmingly described a positive role of health and social service providers in facilitating linkage to HIV care. Concerns about immigration status and HIV-related stigma are significant barriers to HIV testing and linkage to care among undocumented African immigrants. Multilevel efforts to reduce stigma and increase awareness of available services could enhance rates of HIV testing and care linkage in this population.

Race and Gender Are Associated with Opioid Dose Reduction Among Patients on Chronic Opioid Therapy.

OBJECTIVE: Among patients with chronic pain, risk of opioid use is elevated with high opioid dose or concurrent benzodiazepine use. This study examined whether these clinical factors, or sociodemographic factors of race and gender, are associated with opioid dose reduction. DESIGN AND SETTING: A retrospective cohort study of outpatients prescribed chronic opioid therapy between 2007 and 2012 within a large, academic health care system in Bronx, New York, using electronic medical record data. Included patients were prescribed a stable dose of chronic opioid therapy over a one-year "baseline period" and did not have cancer. METHODS: The primary outcome was opioid dose reduction (≥30% reduction from baseline) within two years. Multivariable logistic regression tested the associations of two clinical variables (baseline daily opioid dose and concurrent benzodiazepine prescription) and two sociodemographic variables (race/ethnicity and gender) with opioid dose reduction. RESULTS: Of 1,097 patients, 463 (42.2%) had opioid dose reduction. High opioid dose (≥100 morphine-milligram equivalents [MME]) was associated with lower odds of opioid dose reduction compared with an opioid dose <100 MME (adjusted odds ratio [AOR] = 0.69, 95% confidence interval [CI] = 0.54-0.89). Concurrent benzodiazepine prescription was not associated with opioid dose reduction. Black (vs white) race and female (vs male) gender were associated with greater odds of opioid dose reduction (AOR = 1.82, 95% CI = 1.22-2.70; and AOR = 1.43, 95% CI = 1.11-1.83, respectively). CONCLUSIONS: Black race and female gender were associated with greater odds of opioid dose reduction, whereas clinical factors of high opioid dose and concurrent benzodiazepine prescription were not. Efforts to reduce opioid dose should target patients based on clinical factors and address potential biases in clinical decision-making.

Among whom is cigarette smoking declining in the United States? The impact of cannabis use status, 2002-2015.

OBJECTIVES: To 1) estimate changes in the prevalence of daily and non-daily cigarette smoking among current (past 30-day) daily, non-daily, and non-cannabis users in the United States (U.S.) population; 2) examine time trends in current (past 30-day) cigarette smoking in daily, non-daily, and non-cannabis users ages 12+ from 2002 to 2015. METHODS: Data collected annually from the 2002 to 2015 National Survey on Drug Use and Health (NSDUH) were employed. Linear time trends of daily and non-daily cigarette smoking were assessed using logistic regression with year as the predictor. RESULTS: In 2015, the prevalence of current (past 30-day) cigarette smoking was highest among daily (54.57%), followed by non-daily (40.17%) and non-cannabis users (15.06%). The prevalence of non-daily cigarette smoking increased among daily cannabis users from 2002 to 2015, whereas non-daily cigarette smoking declined among non-daily cannabis users and non-cannabis users from 2002 to 2015. Daily cigarette smoking declined among both cannabis users and non-users; the most rapid decline was observed among daily cannabis users, followed by non-daily and then by non-cannabis users. However, the relative magnitude of the change in prevalence of daily cigarette smoking was similar across the three cannabis groups. CONCLUSIONS: Despite ongoing declines in cigarette smoking in the U.S., non-daily cigarette smoking is increasing among current cannabis users, a growing proportion of the U.S. POPULATION: Daily and non-daily cigarette smoking continue to decline among those who do not use cannabis. Efforts to further tobacco control should consider novel co-use-oriented intervention strategies and outreach for the increasing population of cannabis users.

Reducing the default dispense quantity for new opioid analgesic prescriptions: study protocol for a cluster randomised controlled trial.

INTRODUCTION: As opioid analgesic consumption has grown, so have opioid use disorder and opioid-related overdoses. Reducing the quantity of opioid analgesics prescribed for acute non-cancer pain can potentially reduce risks to the individual receiving the prescription and to others who might unintentionally or intentionally consume any leftover tablets. Reducing the default dispense quantity for new opioid analgesic prescriptions in the electronic health record (EHR) is a promising intervention to reduce prescribing. METHODS AND ANALYSIS: This study is a prospective cluster randomised controlled trial with two parallel arms. Primary care sites (n=32) and emergency departments (n=4) will be randomised in matched pairs to either a modification of the EHR so that new opioid analgesic prescriptions default to a dispense quantity of 10 tablets (intervention) or to no EHR change (control). The dispense quantity will remain fully modifiable by providers in both arms. From 6 months preintervention to 18 months postintervention, patient-level data will be analysed (ie, the patient is the unit of inference). Patient eligibility criteria are: (A) received a new opioid analgesic prescription, defined as no other opioid analgesic prescription in the prior 6 months; (B) age ≥18 years; and (C) no cancer diagnosis within 1 year prior to the new opioid analgesic prescription. The primary outcome will be the quantity of opioid analgesics prescribed in the initial prescription. Secondary outcomes will include opioid analgesic reorders and health service utilisation within 30 days after the initial prescription. Outcomes will be compared between study arms using a difference-in-differences analysis. ETHICS AND DISSEMINATION: This study has been approved by the Montefiore Medical Center/Albert Einstein College of Medicine Institutional Review Board with a waiver of informed consent (2016-6036) and is registered on ClinicalTrials.gov (NCT03003832, 6 December 2016). Findings will be disseminated through publication, conferences and meetings with health system leaders. TRIAL REGISTRATION NUMBER: NCT03003832; Pre-results.

Cannabis Use is Associated with Lower Odds of Prescription Opioid Analgesic Use Among HIV-Infected Individuals with Chronic Pain.

BACKGROUND: Chronic pain is common in the United States and prescribed opioid analgesics use for noncancer pain has increased dramatically in the past two decades, possibly accounting for the current opioid addiction epidemic. Co-morbid drug use in those prescribed opioid analgesics is common, but there are few data on polysubstance use patterns. OBJECTIVE: We explored patterns of use of cigarette, alcohol, and illicit drugs in HIV-infected people with chronic pain who were prescribed opioid analgesics. METHODS: We conducted a secondary data analysis of screening interviews conducted as part of a parent randomized trial of financial incentives to improve HIV outcomes among drug users. In a convenience sample of people with HIV and chronic pain, we collected self-report data on demographic characteristics; pain; patterns of opioid analgesic use (both prescribed and illicit); cigarette, alcohol, and illicit drug use (including cannabis, heroin, and cocaine) within the past 30 days; and current treatment for drug use and HIV. RESULTS: Almost half of the sample of people with HIV and chronic pain reported current prescribed opioid analgesic use (N = 372, 47.1%). Illicit drug use was common (N = 505, 63.9%), and cannabis was the most commonly used illicit substance (N = 311, 39.4%). In multivariate analyses, only cannabis use was significantly associated with lower odds of prescribed opioid analgesic use (adjusted odds ratio = 0.57; 95% confidence interval: 0.38-0.87). Conclusions/Importance: Our data suggest that new medical cannabis legislation might reduce the need for opioid analgesics for pain management, which could help to address adverse events associated with opioid analgesic use.

Delivery of screening and brief intervention for unhealthy alcohol use in an urban academic Federally Qualified Health Center.

BACKGROUND: Screening and brief intervention (SBI) for unhealthy drinking has not been widely implemented in primary care partly due to reliance on physicians to perform it. METHODS: We implemented a model of nursing staff-delivered SBI for unhealthy drinking for adult patients receiving primary care at an academically-affiliated Federally Qualified Health Center in the Bronx, NY. Our model consisted of nursing staff screening all patients with the alcohol use disorders identification test consumption questions (AUDIT-C) and, if screening positive, providing BI or referral to specialty services. We developed a clinical decision support tool integrated into the electronic health record to guide nursing staff and record SBI provision. To evaluate this model, we determined overall SBI delivery to patients and factors associated with receiving SBI. RESULTS: Between October 2013 and September 2014, 9119 unique adult patients made 24,285 visits. Patients were majority women (67.5%) and Hispanic/Latino (54.5%). Overall, 46.2% were screened, with 19.0-35.8% of eligible patients screened in each month. Increasing age (OR: 0.82 [95% CI 0.80-0.85] for a 10-year increase), female sex (OR: 0.83 [95% CI 0.77-0.91]), and chronic conditions like hypertension (OR: 0.62 [95% CI 0.56-0.70]) and diabetes (OR: 0.66 [95% CI 0.58-0.75]), among others, were associated with a lower odds of being screened. Of all patients screened, 225 (5.3%) screened positive and of those patients, 122 (54.2%) received a BI. Patients with higher AUDIT-C scores were more likely to receive a BI (OR: 1.24 [95% CI 1.04-1.47] for a 1-point increase) and non-English speaking patients were less likely to receive a BI than those who spoke English (OR: 0.42 [95% CI 0.18-0.97]). CONCLUSIONS: Our model of SBI resulted in screening of nearly half of all eligible patients and BI provision to over half of those screening positive. Future efforts to improve SBI delivery should focus on groups such as older adults, women, and those with chronic medical conditions.

Use of Smoking Cessation Methods Among Patients Receiving Office-based Buprenorphine Maintenance Treatment.

OBJECTIVES: Provision of smoking-cessation treatment is limited in office-based buprenorphine maintenance treatment (BMT) settings. This study describes smoking and smoking-cessation behaviors among patients receiving office-based BMT. METHODS: Cross-sectional study of patients receiving office-based BMT at a community health center in the Bronx, NY. We interviewed patients assessing sociodemographic, and substance use and tobacco use characteristics, including methods used for smoking cessation. We reported simple frequencies and explored associations of BMT characteristics with smoking behaviors. RESULTS: Of 68 patients, 87.7% were current cigarette smokers, 7.9% were former smokers, and 4.4% had never smoked. Of lifetime smokers, 83.1% reported at least 1 prior quit attempt, and 78.5% had used medication (75.4% used nicotine replacement therapy, 29.2% varenicline, and 9.2% bupropion). Ten patients (15.4%) reported using electronic cigarettes to try to quit smoking. Stopping "cold turkey" (40.0%) and gradually decreasing the number of cigarettes smoked (32.3%) were nonpharmacological methods of quitting tried most often. Use of behavioral support, including stop-smoking programs and counseling, was low. Higher dose and longer duration of BMT was associated with greater smoking frequency. CONCLUSIONS: Patients receiving BMT have a high prevalence of cigarette smoking, though most have tried to quit, and have prior experience with pharmacotherapy for smoking cessation. Efforts to optimize smoking-cessation treatments among BMT patients are needed.

Expanded HIV Testing Strategy Leveraging the Electronic Medical Record Uncovers Undiagnosed Infection Among Hospitalized Patients.

BACKGROUND: Routine HIV testing of hospitalized patients is recommended, but few strategies to expand testing in the hospital setting have been described. We assessed the impact of an electronic medical record (EMR) prompt on HIV testing for hospitalized patients. METHODS: We performed a pre-post study at 3 hospitals in the Bronx, NY. We compared the proportion of admissions of patients 21-64 years old with an HIV test performed, characteristics of patients tested, and rate of new HIV diagnoses made by screening while an EMR prompt recommending HIV testing was inactive vs. active. The prompt appeared for patients with no previous HIV test or a high-risk diagnosis after their last HIV test. RESULTS: Among 36,610 admissions while the prompt was inactive, 9.5% had an HIV test performed. Among 18,943 admissions while the prompt was active, 21.8% had an HIV test performed. Admission while the prompt was active was associated with increased HIV testing among total admissions [adjusted odds ratio (aOR) 2.78, 95% confidence interval (CI): 2.62 to 2.96], those without a previous HIV test (aOR 4.03, 95% CI: 3.70 to 4.40), and those with a previous negative test (aOR 1.52, 95% CI: 1.37 to 1.68) (P < 0.0001 for all). Although the prompt was active, testing increased across all patient characteristics. New HIV diagnoses made by screening increased from 8.2/100,000 admissions to 37.0/100,000 admissions while the prompt was inactive and active, respectively (OR 4.51 95% CI: 1.17 to 17.45, P = 0.03). CONCLUSIONS: An EMR prompt for hospitalized patients was associated with a large increase in HIV testing, a diversification of patients tested, and an increase in diagnoses made by screening.

Unknown HIV Status in the Emergency Department: Implications for Expanded Testing Strategies.

OBJECTIVES: The authors sought to determine the prevalence of unknown HIV status among emergency department (ED) patients, how it has changed over time, and whether it differs according to patient characteristics. METHODS: The authors used electronic medical record data to identify whether HIV status was known or unknown among patients aged ≥13 seen in the ED of a large, urban medical center between 2006 and 2011. The authors used multivariate logistic regression to identify the characteristics associated with unknown HIV status. RESULTS: The prevalence of unknown HIV status decreased each year, from 87.7% in 2006 to 74.9% in 2011 (P < .001). Characteristics associated with unknown HIV status included being nonblack, in the youngest and oldest age-groups, and nonpublically insured. Compared to men, women without prior pregnancy were equally likely to have unknown HIV status, but women with prior pregnancy were significantly less likely to have unknown HIV status. CONCLUSION: The prevalence of unknown HIV status is decreasing, but in 2011 75% of ED patients aged ≥13 still had unknown status, and it was associated with specific patient characteristics. Understanding the trends in the prevalence of unknown HIV status and how it is associated with patient characteristics should inform the design and implementation of expanded HIV-testing strategies.

Increased HIV testing among hospitalized patients who declined testing in the emergency department.

Health-care systems have serial encounters with many of the same patients across care settings; however, few studies have examined the role of reoffering HIV testing after a patient declines. We assessed whether an intervention to increase HIV testing among hospitalized patients was associated with increased testing among those who declined a test while in the Emergency Department (ED). We studied 8-week periods pre- and post-implementation of an electronic medical record (EMR)-based intervention to increase HIV testing among hospitalized patients. We included all patients 21-64 years old who had no prior HIV test, declined HIV testing in the ED, and were subsequently hospitalized. We used logistic regression to test for an association between time of hospital admission (pre- vs. post-intervention) and whether an HIV test was performed prior to discharge. Pre- and post-implementation, 220 and 218 patients who declined HIV testing in the ED were hospitalized, respectively. There were no significant demographic or clinical differences among patients pre- and post-implementation. Pre- and post-implementation, the median proportion of patients tested weekly was 6.7% (IQR 6.5%, 10.0%) and 41.4% (IQR 33.3%, 41.9%), respectively (aOR 6.2: 95%CI: 3.6, 10.6). HIV testing increased among hospitalized patients who declined a test in the ED after implementation of an EMR-based intervention. Almost half of the patients who declined testing in the ED ultimately underwent testing after it was reoffered during hospitalization, suggesting that the decision to undergo HIV testing is a dynamic process. Leveraging EMR resources may be an effective tool for expanding HIV testing, and testing should be reoffered to patients who previously declined.

Release from incarceration, relapse to opioid use and the potential for buprenorphine maintenance treatment: a qualitative study of the perceptions of former inmates with opioid use disorder.

BACKGROUND: The United States has the highest rate of incarceration in the world (937 per 100,000 adults). Approximately one-third of heroin users pass through correctional facilities annually. Few receive medication assisted treatment (MAT; either methadone or buprenorphine) for opioid use disorder during incarceration, and nearly three-quarters relapse to heroin use within 3 months of release. This qualitative study investigated barriers to and facilitators of buprenorphine maintenance treatment (BMT) following release from incarceration ("re-entry"). METHODS: We conducted 21 semistructured interviews of former inmates with opioid use disorder recruited from addiction treatment settings. Interviews were audio-recorded, transcribed, and analyzed using a grounded theory approach. Themes that emerged upon iterative readings of transcripts were discussed by the research team. RESULTS: Participants reported adverse re-entry conditions, including persistent exposure to drug use and stressful life events, which were perceived to contribute to opioid relapse and affected addiction treatment decisions during re-entry. Themes that emerged relating to BMT included: 1) reliance on willpower; 2) fear of dependency on medications; 3) variable exposure to buprenorphine; and 4) acceptability of BMT following relapse. Willpower was perceived to be more important for recovery than medications. Many participants experienced painful withdrawal from methadone during incarceration and were fearful that using MAT would lead to opioid tolerance and painful withdrawal again in the future. Participants reported both positive and negative experiences taking illicit buprenorphine, which affected interest in BMT. Overall, BMT was perceived to be a good treatment option for opioid use disorder that could reduce the risk of re-incarceration. CONCLUSIONS: BMT was perceived to be acceptable, but former inmates with opioid use disorder may be reluctant to utilize BMT upon re-entry. Factors limiting utilization of BMT could be mitigated though policy change or interventions. Policies of the criminal justice system (e.g., forced detoxification) may be dissuading former inmates from utilizing effective treatments for opioid use disorder. Interventions that improve education and access to BMT for former inmates with opioid use disorder could facilitate entrance into treatment. Both policy changes and interventions are urgently needed to reduce the negative consequences of opioid relapse following re-entry.

Smoking cessation treatment among office-based buprenorphine treatment patients.

Opioid-dependent patients smoke at high rates, and office-based buprenorphine treatment provides an opportunity to offer cessation treatment. We examined tobacco use and smoking cessation treatment patterns among office-based buprenorphine treatment patients. We reviewed records of 319 patients treated with buprenorphine from 2005 to 2010. We examined smoking status, cessation medication prescriptions, and factors associated with receipt of cessation prescriptions. Mean age was 43.9 years; most were men (74.2%) and Hispanic (70.9%). At buprenorphine initiation, 21.9% had no documentation of smoking status, while 67.4% were current, 10% former, and 0.9% never smokers. Of current smokers, 16.8% received smoking cessation prescriptions. Patients retained (vs. not retained) in buprenorphine treatment were more likely to receive smoking cessation medications (26.3% vs. 11.2%, p<0.005). We observed a high tobacco use prevalence among buprenorphine patients, and limited provision of cessation treatment. This is a missed opportunity to impact the high tobacco use burden in opioid-dependent persons.