A Student Walks into Class Vignettes to Identify Substance Use Disorder Models of Illness among College Students.

INTRODUCTION: Illness models, including illness recognition, perceived severity, and perceived nature can affect treatment-seeking behaviors. Vignettes are a leading approach to examine models of illness but are understudied for substance use disorders (SUDs). We created vignettes for multiple common DSM-5 SUDs and assessed SUD illness models among college students. METHODS: Seven vignettes in which the protagonist meets DSM-5 diagnostic criteria for SUDs involving tobacco, alcohol, cannabis, Adderall, cocaine, Vicodin, and heroin were pilot tested and randomly assigned to 216 college students who completed measures related to illness recognition, perceived severity, and perceived nature. MANOVAs with Scheffe post-hoc tests were conducted to examine vignette group differences on models of illness. RESULTS: Vignettes met acceptable levels of clarity and plausibility. Participants characterized the protagonist's substance use as a problem, a SUD, or an addiction most frequently with Vicodin, heroin, and cocaine and least frequently with tobacco and cannabis. Participants assigned to the Vicodin, heroin, and cocaine vignettes were the most likely to view the protagonist's situation as serious and life-threatening, whereas those assigned to the cannabis vignette were the least likely. Numerically more participants characterized the pattern of substance use as a problem (91%) or an addiction (90%) than a SUD (76%), while only 15% characterized it as a chronic medical condition. CONCLUSIONS: Illness recognition and perceived severity varied across substances and were lowest for cannabis. Few participants conceptualized SUDs as chronic medical conditions. College students may benefit from psychoeducation regarding cannabis use disorder and the chronic medical condition model of SUDs.

A cohort study examining the relationship among housing status, patient characteristics, and retention among individuals enrolled in low-barrier-to-treatment-access methadone maintenance treatment.

BACKGROUND: Few studies have directly compared patient characteristics and retention among those enrolled in methadone maintenance treatment (MMT) based on housing status. Low-barrier-to-treatment-access programs may be particularly effective at attracting patients experiencing homelessness into MMT; however, the literature on retention in such settings is limited. METHODS: We performed a retrospective chart review of 488 consecutive patients enrolled from April to October 2017 at low-barrier-to-treatment-access MMT programs in southern New England. Patients completed measures of demographics, social isolation, trauma, chronic pain, smoking behavior, and psychiatric distress. The study investigated associations between housing status and correlates with chi-square and Mann-Whitney U tests while controlling the False Discovery Rate. A two-sample log-rank test examined the relationship between retention and housing status. The study further scrutinized this association by regressing retention on all covariates using a Cox proportional hazards model. RESULTS: Forty-six patients (9.4%) reported experiencing homelessness and 442 (90.6%) reported being housed. Thirty-seven percent of patients self-identified as female and 20% as non-white. Compared to patients who were housed, those experiencing homelessness had lower rates of recent employment; higher rates of social isolation, trauma, current chronic pain, and recent cannabis use; and higher overall psychiatric distress (all p < 0.01). At one year, overall retention was 51.8%, and retention was 32.6% in the unhoused group and 53.8% in the housed group. A significant negative association occurred between retention and housing status (p = 0.006). After regressing on all covariates, homelessness was associated with a 69% increase in one-year treatment discontinuation (HR = 1.69 for homelessness, CI = 1.14-2.50). CONCLUSIONS: Patients entering MMT experiencing homelessness have multiple clinical vulnerabilities and are at increased risk for 12-month MMT discontinuation. Low-barrier-to-treatment-access MMT programs are an important venue for identifying and addressing vulnerabilities associated with homelessness.

Longitudinal analysis of the prevalence and correlates of heavy episodic drinking and self-reported opioid use among a national cohort of patients with HIV.

BACKGROUND: Heavy episodic drinking (HED) is a risk factor for opioid-related overdose and negatively impacts HIV disease progression. Among a national cohort of patients with HIV (PWH), we examined sociodemographic and clinical correlates of concomitant HED and self-reported opioid use. METHODS: We used data collected from 2002 through 2018 from the Veterans Aging Cohort Study, a prospective cohort including PWH in care at eight US Veterans Health Administration sites. HED was defined as consuming six or more drinks at least once in the year prior to survey collection. We examined the relationship between HED and self-reported opioid use and created a 4-level composite variable of HED and opioid use. We used multinomial logistic regression to estimate odds of reporting concomitant HED and self-reported opioid use. RESULTS: Among 3702 PWH, 1458 (39.4%) reported HED during the study period and 350 (9.5%) reported opioid use. In the multinomial model, compared to reporting neither HED nor opioid use, lifetime housing instability (adjusted odds ratio [aOR] 1.54, 95% confidence interval [CI] 1.01 to 2.35), Veterans Aging Cohort Study Index 2.0 (a measure of disease severity; aOR 1.14, 95% CI 1.02 to 1.28), depressive symptoms (aOR 2.27, 95% CI 1.42 to 3.62), past-year cigarette smoking (aOR 3.06, 95% CI 1.53 to 6.14), cannabis use (aOR 1.69, 95% CI 1.09 to 2.62), and cocaine/stimulant use (aOR 11.54, 95% CI 7.40 to 17.99) were independently associated with greater odds of concomitant HED and self-reported opioid use. Compared to having attended no college, having some college or more (aOR 0.39, 95% CI 0.26 to 0.59) was associated with lower odds of concomitant HED and self-reported opioid use. CONCLUSIONS: Among PWH, concomitant HED and self-reported opioid use are more common among individuals with depressive symptoms and substance use, structural vulnerabilities, and greater illness severity. Efforts to minimize opioid-related risk should address high-risk drinking as a modifiable risk factor for harm among these groups.

Primary care and medication management characteristics among patients receiving office-based opioid treatment with buprenorphine.

BACKGROUND: Office-based opioid treatment (OBOT) is an evidence-based treatment model for opioid use disorder (OUD) offered by both addiction and general primary care providers (PCPs). Calls exist for more PCPs to offer OBOT. Few studies have been conducted on the primary care characteristics of OBOT patients. OBJECTIVE: To characterize medical conditions, medications, and treatment outcomes among patients receiving OBOT with buprenorphine for OUD, and to describe differences among patients by age and by time in care. METHODS: This study is a retrospective review of medical records on or before 4/29/2019 at an outpatient primary care clinic within a nonprofit addiction treatment setting. Inclusion criterion was all clinic patients actively enrolled in the OBOT program. Patients not prescribed buprenorphine or with no OBOT visits were excluded. RESULTS: Of 355 patients, 42.0% had another PCP. Common comorbid conditions included chronic pain and psychiatric diagnosis. Few patients had chronic viral hepatitis or HIV. Patients reported a median of 4 medications. Common medications were cardiovascular, antidepressant, and nonopioid pain agents. Older patients had a higher median number of medications. There was no significant difference in positive opioid urine toxicology (UT) based on age, chronic pain status, or psychoactive medications. Patients retained >1 year were less likely to have positive opioid UT. CONCLUSION: Clinical needs of many patients receiving OBOT are similar to those of the general population, supporting calls for PCPs to provide OBOT.

High-dose prescribed opioids are associated with increased risk of heroin use among United States military veterans.

Despite evidence linking increased risk of opioid use disorder with specific opioid-prescribing patterns, the relationship between these patterns and heroin use is less understood. This study aimed to determine whether dose and duration of opioid prescriptions predict subsequent heroin use in United States veterans. We analyzed data from 2002 to 2012 from the Veterans Aging Cohort Study, a prospective cohort study. We used inverse probability of censoring weighted Cox regression to examine the relationship between self-reported past year heroin use and 2 primary predictors: (1) prior receipt of a high-dose opioid prescription (≥90 mg morphine equivalent daily dose), and (2) prior receipt of a long-term opioid prescription (≥90 days). Heroin use was ascertained using most recent value of time-updated self-reported past year heroin use. Models were adjusted for HIV and hepatitis C virus infection status, sociodemographics, pain interference, posttraumatic stress disorder, depression, and use of marijuana, cocaine, methamphetamines, and unhealthy alcohol use. In the final model, prior receipt of a high-dose opioid prescription was associated with past year heroin use (adjusted hazard ratio use = 2.54, 95% confidence interval: 1.26-5.10), whereas long-term opioid receipt was not (adjusted hazard ratio = 1.09, 95% confidence interval: 0.75-1.57). Patients receiving high-dose opioid prescriptions should be monitored for heroin use. These findings support current national guidelines recommending against prescribing high-dose opioids for treating pain.

Predictors of timely opioid agonist treatment initiation among veterans with and without HIV.

BACKGROUND: Opioid use disorder (OUD) is prevalent among people with HIV (PWH). Opioid agonist therapy (OAT) is the most effective treatment for OUD and is associated with improved health outcomes, but is often not initiated. To inform clinical practice, we identified factors predictive of OAT initiation among patients with and without HIV. METHODS: We identified 19,698 new clinical encounters of OUD between 2000 and 2012 in the Veterans Aging Cohort Study (VACS), a national observational cohort of PWH and matched uninfected controls. Mixed effects models examined factors predictive of OAT initiation within 30-days of a new OUD clinical encounter. RESULTS: 4.9% of both PWH and uninfected patients initiated OAT within 30 days of a new OUD clinical encounter. In adjusted models, participants with a psychiatric diagnosis (aOR = 0.54, 95% CI 0.47 - 0.62), PWH (aOR = 0.79, 95% CI 0.68-0.92), and rural residence (aOR = 0.56, 95% CI 0.39-0.78) had a lower likelihood of any OAT initiation, while African-American patients (aOR = 1.60, 95% CI 1.34-1.92), those with an alcohol related diagnosis (aOR = 1.76, 95% CI 1.48-2.08), diagnosis year 2005-2008 relative to 2000-2004 (aOR = 1.24, 95% CI 1.05-1.45), and patients with HCV (aOR = 1.50, 95% CI 1.27-1.77) had a greater likelihood of initiating any OAT within 30 days. Predictive factors were similar in the total sample and PWH only models. CONCLUSIONS: PWH were less likely to receive timely OAT initiation than demographically similar uninfected patients. Given the health benefits of such treatment, the low rate of OAT initiation warrants focused efforts in both PWH and uninfected populations.

Electronic cigarette and tobacco use in individuals entering methadone or buprenorphine treatment.

BACKGROUND: Although smoking is prevalent among populations with opioid use disorder (OUD), few studies have examined electronic cigarette (EC) use in individuals seeking opioid agonist therapy (OAT). The aim of this study was to evaluate the prevalence and correlates of EC use among individuals seeking OAT. METHODS: 782 patients seeking OAT for OUD completed surveys assessing current and past EC use, reasons for use, current and past cigarette smoking, nicotine dependence, psychiatric distress, trauma, and pain. Bivariate and multivariate models evaluated correlates of daily EC use, past-30-day EC use, and current cigarette smoking. RESULTS: 6% of patients reported daily EC use, 18% reported past-30-day use, 62% reported EC use history, and 85% reported current cigarette smoking. 46% reported using ECs to quit or cut down smoking. In multivariate analyses, daily EC use was associated with higher odds of being a former smoker (OR 21; CI 1.7-273) and lower odds of ever smoking more than 100 cigarettes (OR 0.07; CI 0.01-0.32), while EC use in the past 30 days was associated with lower odds of being Caucasian (OR 0.55; CI 0.34-0.89), ever smoking more than 100 cigarettes (OR 0.13; CI 0.02-0.67), and history of chronic pain (OR 0.59; CI 0.38-0.90), and higher odds of reporting psychiatric distress (OR 1.5; CI 1.1-2.2). CONCLUSIONS: EC use is common among people with OUD who smoke cigarettes. Those with daily use had higher odds of being former smokers than current smokers. Interventions using ECs may be effective to help reduce harms and mortality in OUD.

Duration of opioid prescriptions predicts incident nonmedical use of prescription opioids among U.S. veterans receiving medical care.

BACKGROUND/AIMS: Although nonmedical use of prescription opioids (NMUPO) is a public health problem, few studies have examined the new-onset NMUPO in clinical populations. We estimated NMUPO incidence among veterans in medical care who had received prescription opioid medication and examined correlates of new-onset NMUPO. DESIGN: Prospective cohort study. SETTING: Veterans Health Administration primary care and infectious disease clinics in Atlanta, Baltimore, Bronx, Houston, Los Angeles, Manhattan, Pittsburgh, and Washington, DC. PARTICIPANTS: Patients enrolled in the Veterans Aging Cohort Study wave 3 (2005-2007) who received prescription opioids in the previous year and without lifetime NMUPO were followed at waves 4 and 5 (2008-2011). MEASUREMENTS: Cox proportional hazards regression was used to examine the relationship between duration of prescription opioid receipt and incident NMUPO, adjusting for demographics, alcohol and tobacco use, substance use disorders, psychiatric and medical diagnoses, and medication-related characteristics. FINDINGS: Among eligible participants (n = 815), the median age was 52 (IQR = 47-58) and 498 (59.8%) were Black; 122 (15.0%) reported new-onset NMUPO, for an incidence rate of 5.0 per 100 person-years. In a multivariable Cox model, compared to <30 days, receipt of prescription opioids for 30-180 days (adjusted hazard ratio [AHR] = 1.65 95% CI: 1.06, 2.58) or >180 days (AHR = 1.99, 95% CI: 1.21, 3.29) was associated with incident NMUPO. CONCLUSIONS: Duration of prescription opioid receipt is a risk factor for incident NMUPO among veterans receiving medical care. Providers who prescribe opioids should monitor for NMUPO, especially among those with a longer duration of opioid therapy.

Non-medical use of prescription opioids is associated with heroin initiation among US veterans: a prospective cohort study.

AIMS: To estimate the influence of non-medical use of prescription opioids (NMUPO) on heroin initiation among US veterans receiving medical care. DESIGN: Using a multivariable Cox regression model, we analyzed data from a prospective, multi-site, observational study of HIV-infected and an age/race/site-matched control group of HIV-uninfected veterans in care in the United States. Approximately annual behavioral assessments were conducted and contained self-reported measures of NMUPO and heroin use. SETTING: Veterans Health Administration (VHA) infectious disease and primary care clinics in Atlanta, Baltimore, New York, Houston, Los Angeles, Pittsburgh and Washington, DC. PARTICIPANTS: A total of 3396 HIV-infected and uninfected patients enrolled into the Veterans Aging Cohort Study who reported no life-time NMUPO or heroin use, had no opioid use disorder diagnoses at baseline and who were followed between 2002 and 2012. MEASUREMENTS: The primary outcome measure was self-reported incident heroin use and the primary exposure of interest was new-onset NMUPO. Our final model was adjusted for socio-demographics, pain interference, prior diagnoses of post-traumatic stress disorder and/or depression and self-reported other substance use. FINDINGS: Using a multivariable Cox regression model, we found that non-medical use of prescription opioids NMUPO was associated positively and independently with heroin initiation [adjusted hazard ratio (AHR) = 5.43, 95% confidence interval (CI) = 4.01, 7.35]. CONCLUSIONS: New-onset non-medical use of prescription opioids (NMUPO) is a strong risk factor for heroin initiation among HIV-infected and uninfected veterans in the United States who reported no previous history of NMUPO or illicit opioid use.

Psychiatric Disorders Among Patients Seeking Treatment for Co-Occurring Chronic Pain and Opioid Use Disorder.

OBJECTIVE: Psychiatric comorbidities complicate treatment of patients with chronic pain and opioid use disorder, but the prevalence of specific comorbid psychiatric disorders in this population has not been systematically investigated. METHODS: 170 consecutive participants entering a treatment research program for co-occurring chronic pain and opioid use disorder between March 2009 and July 2013 were evaluated with the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID-I/P) and the Diagnostic Interview for DSM-IV Personality Disorders (DIPD-IV). RESULTS: The prevalence of any lifetime (and current) comorbid Axis I disorder was 91% (75%); 52% met criteria for lifetime anxiety disorder (48% current), 57% for lifetime mood disorder (48% current), and 78% for lifetime nonopioid substance use disorder (34% current). Common current anxiety diagnoses were posttraumatic stress disorder (21%), generalized anxiety disorder (16%), and panic disorder without agoraphobia (16%). Common current mood diagnoses were major depressive disorder (40%) and dysthymia (11%). A majority of patients had a personality disorder (52%). CONCLUSIONS: High rates and persistence of co-occurring psychiatric disorders, including anxiety or mood disorders, may explain in part the difficulty providers have treating patients with co-occurring opioid use disorder and chronic pain and suggest possible targets for improving treatment. TRIAL REGISTRATION: ClinicalTrials.gov identifiers: buprenorphine/naloxone treatment (NCT00634803), opioid treatment program-based methadone maintenance treatment (NCT00727675).

Prevalence and correlates of coprescribing anxiolytic medications with extensive prescription opioid use in Veterans Health Administration patients with metastatic cancer.

OBJECTIVE: To examine the prevalence and correlates of concomitant anxiolytic prescription fills in Veterans Health Administration (VHA) patients with metastatic cancer who have extensive prescription opioid use. DESIGN, SETTING, AND PARTICIPANTS: National VHA data for fiscal year 2012 were used to identify veterans diagnosed with metastatic cancer (ICD-9 codes 196-199) who also had extensive prescription opioid use (at least 10 opioid prescriptions during the year, comprising the highest 29 percent of opioid users). Bivariate and multivariate analyses were used to examine correlates of receiving anxiolytic medication among veterans with metastatic cancer and extensive prescription opioid use. RESULTS: Of the 5,950 veterans with metastatic cancer and extensive prescription opioid use, 51 percent also received anxiolytic medication, of whom 64 percent had a medical indication and 85 percent had a psychiatric or medical indication for psychotropics. Of those with extensive prescription opioid use who filled an anxiolytic, 64 percent also received antidepressants and 38 percent received three or more classes of psychotropic medication (ie, polypharmacy). In multivariate analyses, factors associated with receipt of an anxiolytic included any anxiety disorder, insomnia, the prescription of antidepressants or antipsychotics, bipolar disorder, younger age, more emergency department visits, and greater number of opioid prescriptions. CONCLUSIONS: VHA patients with metastatic cancer and extensive prescription opioid use who are prescribed anxiolytics are likely to have a Food and Drug Administration-approved indication for psychotropics, and anxiolytics in particular, but represent a clinically vulnerable group which merits careful monitoring.

The psychometric properties of the iowa personality disorder screen in methadone-maintained patients: an initial investigation.

The psychometric properties of the Iowa Personality Disorder Screen (IPDS) were examined in 150 methadone-maintained patients who completed measures of demographic, psychopathology, substance use, pain, and methadone maintenance treatment (MMT) characteristics. An exploratory factor analysis revealed a two-factor solution that explained 45% of the scale variance. The first factor captured internalizing tendencies, such as inhibition and hypersensitivity to others. The second factor comprised externalizing tendencies, such as impulsivity and insensitivity to others. The IPDS item subsets, derived factors, and the total score were significantly related to race/ethnicity but not sex. The effects of race/ethnicity were controlled statistically when the IPDS was compared to other measures of psychopathology, self-reported substance use, pain variables, and MMT characteristics. In general, the IPDS appears to be reliable and valid for use with methadone-maintained patients. The two-factor structure found in this study may have clinical utility and merits further investigation in other MMT samples.

Nonmedical use of prescription opioids and pain in veterans with and without HIV.

Few studies have systematically evaluated nonmedical use of prescription opioids (NMU) among U.S. military veterans, those who report pain, and those with human immunodeficiency virus (HIV). An increased understanding of the factors associated with NMU may help providers to balance maintaining patient access to prescription opioids for legitimate medical reasons and reducing the risks of addiction. We analyzed self-report data and electronic medical and pharmacy record data from 4122 participants in the Veterans Aging Cohort Study. Bivariate associations were analyzed using chi-squared tests, t tests, and median tests, and multivariable associations were assessed using logistic regression. Median participant age was 52 years; 95% were men; 65% were black, and 53% were HIV infected. NMU was reported by 13% of participants. In multivariable analysis, NMU was associated with: being Hispanic (adjusted odds ratio [AOR] 1.8); aged 40-44 years (AOR 1.6); Alcohol Use Disorders Identification Test score ≥20 (AOR 2.0); drug use disorder (AOR 1.9); opioid use disorder (AOR 2.7); past month cigarette use (AOR 1.3); receiving a past-year Veterans Health Administration opioid prescription (AOR 1.9); hepatitis C (AOR 1.5); and pain interference (AOR 1.1). Being overweight (AOR 0.6) or obese (AOR 0.5) and having a higher 12-Item Short-Form Health Survey (SF-12) Mental Component Summary (AOR 0.98) were associated with less NMU. Patients with and without NMU did not differ on HIV status or SF-12 Physical Component Summary. Veterans in care have a high prevalence of NMU that is associated with substance use, medical status, and pain interference, but not HIV status.

Pain and substance-related pain-reduction behaviors among opioid dependent individuals seeking methadone maintenance treatment.

We surveyed 293 opioid dependent individuals seeking methadone maintenance treatment about their pain experiences and their substance-related pain reduction behaviors. Among the 213 respondents reporting recent pain of at least moderate typical pain intensity, two-thirds had a lifetime history of chronic pain. In comparison to those without a lifetime history of chronic pain, those with a lifetime history were older, reported higher pain frequency, were more likely to endorse accident or surgery and less likely to endorse "don't know" as the genesis of their recent pain, and endorsed comparable levels of substance-related pain reduction behaviors. These findings may have implications for resource and program planning in MMT programs.

Differences in characteristics of Asian American and white problem gamblers calling a gambling helpline.

INTRODUCTION: The characteristics of Asian American and white problem gamblers using a gambling helpline were examined to identify race-related differences. METHODS: Logistic regression analyses were conducted on data obtained from callers to a gambling helpline serving southern New England in 2000-2003, inclusive. RESULTS: Of the 144 phone calls used in the analyses, 72 were from Asian American callers and 72 were from white callers who were matched on gender, education, income, marital/cohabitation status, and age. Race-related differences were observed in forms of gambling problems, psychiatric problems secondary to gambling, substance use problems, and family history. Asian American gamblers were more likely to report suicide attempts related to gambling and problems with non-strategic gambling. White gamblers were more likely to report both casino and non-casino gambling problems and personal and familial alcohol use problems. High proportions of both groups reported problems with strategic gambling, gambling-related anxiety, family and financial problems secondary to gambling, financial debt, daily tobacco use, and a family history of problem gambling. CONCLUSION: Race-related differences should be considered in optimizing prevention and treatment strategies related to problem gambling.

Characteristics of black and white callers to a gambling helpline.

OBJECTIVE: Characteristics of black and white callers to a gambling helpline for southern New England were examined for racial differences. METHODS: Logistic regression analyses were performed on data from 2000-2003 from 1,627 callers (9% blacks and 91% whites). RESULTS: Black callers were more likely than white callers to be female and less likely to have a post-high school education. After control for gender and education, race-related differences for multiple variables were observed. Black callers were more likely than white callers to report longer durations of gambling problems and less likely to report problems with casino slot machines, depression secondary to gambling, daily tobacco use, and mental health treatment. High proportions of both groups reported psychiatric problems related to gambling, including depression and suicidality. CONCLUSIONS: Race-related differences in gambling behaviors, psychiatric problems, and mental health and substance abuse treatment among problem gamblers may inform program planning and outreach efforts.

Long-term treatment with buprenorphine/naloxone in primary care: results at 2-5 years.

To examine long-term outcomes with primary care office-based buprenorphine/naloxone treatment, we followed 53 opioid-dependent patients who had already demonstrated six months of documented clinical stability for 2-5 years. Primary outcomes were retention, illicit drug use, dose, satisfaction, serum transaminases, and adverse events. Thirty-eight percent of enrolled subjects were retained for two years. Ninety-one percent of urine samples had no evidence of opioid use, and patient satisfaction was high. Serum transaminases remained stable from baseline. No serious adverse events related to treatment occurred. We conclude that select opioid-dependent patients exhibit moderate levels of retention in primary care office-based treatment.

Primary care office-based buprenorphine treatment: comparison of heroin and prescription opioid dependent patients.

BACKGROUND: Prescription opioid dependence is increasing, but treatment outcomes with office-based buprenorphine/naloxone among these patients have not been described. METHODS: We compared demographic, clinical characteristics and treatment outcomes among 200 patients evaluated for entry into a trial of primary care office-based buprenorphine/naloxone treatment stratifying on those who reported exclusive heroin use (n = 124), heroin and prescription opioid use (n = 47), or only prescription opioid use (n = 29). RESULTS: Compared to heroin-only patients, prescription-opioid-only patients were younger, had fewer years of opioid use, and less drug treatment history. They were also more likely to be white, earned more income, and were less likely to have Hepatitis C antibodies. Prescription-opioid-only patients were more likely to complete treatment (59% vs. 30%), remained in treatment longer (21.0 vs. 14.2 weeks), and had a higher percent of opioid-negative urine samples than heroin only patients (56.3% vs. 39.8%), all p values < .05. Patients who used both heroin and prescription opioids had outcomes that were intermediate between heroin-only and prescription-opioid-only patients. CONCLUSIONS: Individuals dependent on prescription opioids have an improved treatment response to buprenorphine/naloxone maintenance in an office-based setting compared to those who exclusively or episodically use heroin.