Prevalence and correlates of nonmedical use of prescription opioids in patients seen in a residential drug and alcohol treatment program

An Automatically Adaptive Digital Health Intervention to Decrease Opioid-Related Risk While Conserving Counselor Time: Quantitative Analysis of Treatment Decisions Based on Artificial Intelligence and Patient-Reported Risk Measures

BACKGROUND

Some patients prescribed opioid analgesic (OA) medications for pain experience serious side effects, including dependence, sedation, and overdose. As most patients are at low risk for OA-related harms, risk reduction interventions requiring multiple counseling sessions are impractical on a large scale.

OBJECTIVE

This study evaluates whether an intervention based on reinforcement learning (RL), a field of artificial intelligence, learned through experience to personalize interactions with patients with pain discharged from the emergency department (ED) and decreased self-reported OA misuse behaviors while conserving counselors' time.

METHODS

We used data representing 2439 weekly interactions between a digital health intervention ("Prescription Opioid Wellness and Engagement Research in the ED" [PowerED]) and 228 patients with pain discharged from 2 EDs who reported recent opioid misuse. During each patient's 12 weeks of intervention, PowerED used RL to select from 3 treatment options: a brief motivational message delivered via an interactive voice response (IVR) call, a longer motivational IVR call, or a live call from a counselor. The algorithm selected session types for each patient each week, with the goal of minimizing OA risk, defined in terms of a dynamic score reflecting patient reports during IVR monitoring calls. When a live counseling call was predicted to have a similar impact on future risk as an IVR message, the algorithm favored IVR to conserve counselor time. We used logit models to estimate changes in the relative frequency of each session type as PowerED gained experience. Poisson regression was used to examine the changes in self-reported OA risk scores over calendar time, controlling for the ordinal session number (1st to 12th).

RESULTS

Participants on average were 40 (SD 12.7) years of age; 66.7% (152/228) were women and 51.3% (117/228) were unemployed. Most participants (175/228, 76.8%) reported chronic pain, and 46.2% (104/225) had moderate to severe depressive symptoms. As PowerED gained experience through interactions over a period of 142 weeks, it delivered fewer live counseling sessions than brief IVR sessions (P=.006) and extended IVR sessions (P<.001). Live counseling sessions were selected 33.5% of the time in the first 5 weeks of interactions (95% CI 27.4%-39.7%) but only for 16.4% of sessions (95% CI 12.7%-20%) after 125 weeks. Controlling for each patient's changes during the course of treatment, this adaptation of treatment-type allocation led to progressively greater improvements in self-reported OA risk scores (P<.001) over calendar time, as measured by the number of weeks since enrollment began. Improvement in risk behaviors over time was especially pronounced among patients with the highest risk at baseline (P=.02).

CONCLUSIONS

The RL-supported program learned which treatment modalities worked best to improve self-reported OA risk behaviors while conserving counselors' time. RL-supported interventions represent a scalable solution for patients with pain receiving OA prescriptions.

TRIAL REGISTRATION

Clinicaltrials.gov NCT02990377; https://classic.clinicaltrials.gov/ct2/show/NCT02990377.

Co-use of Opioid Medications and Alcohol Prevention Study (COAPS)

While there is limited research in the field regarding the various dimensions of co-use of alcohol and opioid medication, particularly related to co-use and levels of severity, our research has shown 20% to 30% of community pharmacy patients receiving opioid pain medications are engaged in co-use. Co-use of alcohol and opioid medications is a significant risk factor for opioid-related overdose. Community pharmacy is a valuable yet underutilized resource and setting for addressing the US opioid epidemic, with an untapped potential for identification of and intervention for risks associated with co-use of alcohol and opioids. This commentary describing the "Co-use of Opioid Medications and Alcohol Prevention Study (COAPS)" offers an innovative and promising approach to mitigating serious risks associated with co-use of alcohol (risk and non-risk use) and opioids in community pharmacy. COAPS aim 1involves adapting an existing opioid misuse intervention to target co-use of alcohol and opioid mediations. COAPS aim 2 involves testing the adapted intervention within a small-scale pilot randomized controlled trial (N = 40) to examine feasibility, acceptability and preliminary efficacy of the intervention versus standard care. COAPS aim 3 involves conducting key informant interviews related to future implementation of larger scale studies or service delivery in community pharmacy settings.

Longitudinal associations between pain and substance use disorder treatment outcomes

INTRODUCTION

Pain is commonly reported among those in treatment for substance use disorders (SUD) and is associated with poorer SUD treatment outcomes. The current study examined the trajectory of pain over the course of SUD treatment and associations with substance use outcomes.

METHODS

This observational study included adults seeking treatment for alcohol, cannabis, or opioid use disorders (N = 811). Participants completed a battery of assessments at treatment admission, 30 days post admission, and at discharge, including measures of demographics, pain, quality of life, abstinence self-efficacy, and craving.

RESULTS

Analyses indicated linear reductions in pain intensity and interference over time. Significant interactive effects were observed for opioid use disorder (OUD) and time, such that participants with OUD had greater reductions in pain intensity and interference over time compared to those without OUD. Elevated pain intensity was associated with negative treatment outcomes, including reduced quality of life and abstinence self-efficacy, and greater craving and negative affect.

CONCLUSIONS

Reductions in pain occur over the course of SUD treatment, particularly for those with OUD. Greater pain was also associated with adverse SUD treatment outcomes. Results suggest that treatment and associated abstinence may be beneficial for those with co-occurring pain and SUD, highlighting an additional benefit of improving access to SUD treatment for patients and health care systems. Future research should replicate these findings among diverse samples and further characterize the trajectory of pain during and after SUD treatment.

Risky alcohol use among patients dispensed opioid medications: A clinical community pharmacy study

BACKGROUND

Included among the significant risk factors for opioid overdose is concomitant use of other central nervous system depressants, particularly alcohol. Given the continued expansion of community pharmacy in the continuum of care, it is imperative to characterize alcohol use among pharmacy patients dispensed opioids in order to establish a foundation for identification and intervention in these settings.

METHODS

This secondary analysis utilized data from a one-time, cross-sectional health assessment conducted among patients dispensed opioid medications in 19 community pharmacies in Indiana and Ohio. Adult, English speaking, patients not receiving cancer care who were dispensed opioid medications were asked to self-report alcohol and substance use, behavioral and physical health, and demographic information. Descriptive and logistic regression analyses were employed to characterize alcohol use/risky alcohol use and patient characteristics associated therewith.

RESULTS

The analytical sample included 1494 individuals. Participants were on average 49 years of age (Standard Deviation=14.9)-with 6% being persons of color (n = 89). Weekly drinking was reported by 18.1% (n = 204) and daily drinking was reported by 6.8% (n = 77) of the study sample, with a total of 143 (9.6%) participants reporting moderate/high risk drinking. Males (Adjusted Odds Ratio [AOR]=1.94, 95% CI=1.3,2.9), those with higher pain interference (AOR=1.44, 95% CI=1.0,2.0), overdose history (AOR=1.93, 95% CI=1.1,3.5), sedative use (AOR=2.11, 95% CI=1.3,3.5), and tobacco use (AOR=2.41, 95% CI=1.6,3.7) had increased likelihood of moderate/high risk alcohol use (all p < 0.05).

CONCLUSIONS

Medication labeling and clinical guidelines clearly indicate that patients should abstain from concomitant use of opioids and alcohol. This study has identified rates and associated risk factors of risky alcohol use among a clinical sample of community pharmacy patients dispensed opioid medications. Continuing this line of research and potential clinical service development has the ability to improve patient safety through addressing a significant gap within the current opioid epidemic.

Health harms of non-medical prescription opioid use: A systematic review

ISSUES

Non-medical prescription opioid use (NMPOU) contributes substantially to the global burden of morbidity. However, no systematic assessment of the scientific literature on the associations between NMPOU and health outcomes has yet been undertaken.

APPROACH

We undertook a systematic review evaluating health outcomes related to NMPOU based on ICD-10 clinical domains. We searched 13 electronic databases for original research articles until 1 July 2021. We employed an adaptation of the Oxford Centre for Evidence-Based Medicine 'Levels of Evidence' scale to assess study quality.

KEY FINDINGS

Overall, 182 studies were included. The evidence base was largest on the association between NMPOU and mental and behavioural disorders; 71% (129) studies reported on these outcomes. Less evidence exists on the association of NMPOU with infectious disease outcomes (26; 14%), and on external causes of morbidity and mortality, with 13 (7%) studies assessing its association with intentional self-harm and 1 study assessing its association with assault (<1%).

IMPLICATIONS

A large body of evidence has identified associations between NMPOU and opioid use disorder as well as on fatal and non-fatal overdose. We found equivocal evidence on the association between NMPOU and the acquisition of HIV, hepatitis C and other infectious diseases. We identified weak evidence regarding the potential association between NMPOU and intentional self-harm, suicidal ideation and assault.

DISCUSSION AND CONCLUSIONS

Findings may inform the prevention of harms associated with NMPOU, although higher-quality research is needed to characterise the association between NMPOU and the full spectrum of physical and mental health disorders.

Time Trends in Opioid Use Disorder Hospitalizations in Gout, Rheumatoid Arthritis, Fibromyalgia, Osteoarthritis, and Low Back Pain

OBJECTIVE

To examine opioid use disorder (OUD)-related hospitalizations and associated healthcare utilization outcomes in people with 5 common musculoskeletal diseases (MSD).

METHODS

We used the US National Inpatient Sample (NIS) data from 1998 to 2014 to examine the rates of OUD hospitalizations (per 100,000 NIS claims overall), time trends, and outcomes in 5 common rheumatic diseases: gout, rheumatoid arthritis (RA), fibromyalgia (FM), osteoarthritis (OA), and low back pain (LBP).

RESULTS

OUD hospitalization rate per 100,000 total NIS claims in 1998-2000 vs 2015-2016 (and increase) were as follows: gout, 0.05 vs 1.88 (36-fold); OA, 0.68 vs 10.22 (14-fold); FM, 0.53 vs 6.98 (12-fold); RA, 0.30 vs 3.16 (9.5-fold); and LBP, 1.17 vs 7.64 (5.5-fold). The median hospital charges and hospital stays for OUD hospitalizations were as follows: gout, $18,363 and 2.5 days; RA, $17,398 and 2.4 days; FM, $15,772 and 2.1 days; OA, $16,795 and 2.4 days; and LBP, $13,722 and 2.0 days. In-hospital mortality rates ranged from 0.9% for LBP and FM to 1.7% for gout with OUD hospitalizations. Compared to those without each MSD, age-, sex-, race-, and income-adjusted total hospital charges (inflation-adjusted) for OUD hospitalizations with each rheumatic disease were as follows: gout, $697 higher; OA, $4759 lower; FM, $2082 lower; RA, $1258 lower; and LBP, $4944 lower.

CONCLUSION

OUD hospitalizations increased in all 5 MSD studied, but the rate of increase differed. Awareness of these OUD hospitalization trends in 5 MSD among providers, policy makers, and patients is important. Development and implementation of interventions, policies, and practices to potentially reduce OUD-associated effects in people with rheumatic diseases is needed.

Opportunities to boost naloxone awareness among people who misuse opioid analgesics who have not used illegal opioids

BACKGROUND

Increasing naloxone awareness and carrying among individuals who misuse opioid analgesic medications (OAs) could reduce opioid overdose mortality. Methods: Self-report surveys were completed by 322 adults receiving residential addiction treatment who misused OAs in the past year. Descriptive analyses and prevalence ratios (using Poisson generalized estimating equations) examined whether illegal opioid (e.g., heroin) initiation was associated with naloxone awareness. Results: Among this sample of participants who misused OAs, naloxone awareness was lowest among those who never used illegal opioids (26%) and highest among those who transitioned from OAs to illegal opioid use over time (83%). Naloxone awareness remained higher among participants who had used illegal opioids after adjustment for sociodemographic and substance use characteristics. Those who used OAs before initiating illegal opioids were 2.3-fold (95% CI: 1.5-3.3) more likely to have naloxone awareness than those who had only misused OAs after adjustment. Half of participants who had only used OAs had experienced an overdose, 75% had witnessed an overdose, and 61% were prescribed OAs to treat pain in the past 6 months. Conclusions: Implementing overdose education and naloxone distribution programs during addiction treatment could bolster naloxone awareness among people who misuse OAs but who have not used illegal opioids.

Alcohol and Drug Overdose and the Influence of Pain Conditions in an Addiction Treatment Sample

PURPOSE

Overdose from alcohol and/or drugs kills tens of thousands of Americans annually, with a large number of deaths attributed to opioid pain medications. Addiction treatment patients are known to be at high risk for overdose; however, the relationship between pain and overdose history within this group is understudied, especially in relation to alcohol overdoses. In the present study, we evaluated whether nonfatal overdose history was more likely among addiction treatment patients with pain, and examined the characteristics of overdoses among those with and without pain.

METHODS

We analyzed cross-sectional data from 739 patients at a large residential addiction treatment center (median age 37, 25.7% female). We used 2-stepped binary regression models to evaluate whether demographics, pain type (chronic, acute, or both), depression symptoms, and opioid misuse were associated with lifetime history of nonfatal (1) alcohol and (2) drug overdose (lifetime yes/no), and conducted follow-up analyses examining overdose characteristics.

RESULTS

In adjusted analyses, history of chronic pain (odds ratio [OR] 2.60, 95% confidence interval [CI] 1.59, 4.27) and illicit drug use (OR 1.99, 95% CI 1.07, 3.68) were associated with an increased likelihood of nonfatal alcohol overdose. Opioid misuse (OR 3.11, 95% CI 2.51, 3.86), depression symptoms (OR 1.33, 95% CI 1.14, 1.55), and younger age (OR 0.96, 95% CI 0.94, 0.97) were associated with increased likelihood of drug overdose. Those with pain reported a higher number of lifetime alcohol overdoses and were more likely to combine numerous drugs with alcohol before overdose.

CONCLUSIONS

Pain conditions may play an under-recognized role in the overdose epidemic, particularly alcohol-related overdose. Addiction treatment and overdose prevention interventions should incorporate appropriate assessment and treatment of pain including education about the risks of polysubstance use, particularly combining alcohol with sedatives and prescription pain relievers.

Pain severity and prescription opioid misuse among individuals with chronic pain: The moderating role of alcohol use severity

BACKGROUND

Chronic pain is a public health problem associated with opioid misuse. Yet, it is important to understand factors underlying opioid misuse in the context of pain. Alcohol use is one factor to consider given past work documenting use of alcohol to manage pain. However, it is unknown whether alcohol use severity exacerbates the relation between pain and opioid misuse. This study sought to examine relations between pain and prescription opioid misuse and the moderating role of alcohol use severity in two online survey studies of individuals with chronic pain.

METHOD

Individuals with chronic pain (study 1, n = 364; study 2, n = 437) were administered measures of pain, alcohol use, and opioid misuse.

RESULTS

In study 1, there was a significant interaction of pain severity and alcohol use (b = 0.16, p < 0.001). Pain was significantly related to opioid misuse among those with higher (b = 1.50, p < 0.001), but not lower (b=-0.26, p = 0.430) alcohol use. In study 2, there was a significant interaction of pain severity and alcohol use (b = 0.03, p < 0.001). Pain was significantly related to opioid misuse among those with higher (b = 0.74, p < 0.001), but not lower (b = 0.07, p = 0.620) alcohol use.

CONCLUSIONS

In two online samples, there was evidence of a novel interaction of pain severity and alcohol use severity in relation to opioid misuse. Although cross-sectional, results replicated in two studies. Pain severity was related to opioid misuse among those with higher but not lower alcohol use. Those who use alcohol, even below suggested cut-offs, may be more likely to misuse opioids when in pain.

Justice involvement patterns, overdose experiences, and naloxone knowledge among men and women in criminal justice diversion addiction treatment

Background

Persons in addiction treatment are likely to experience and/or witness drug overdoses following treatment and thus could benefit from overdose education and naloxone distribution (OEND) programs. Diverting individuals from the criminal justice system to addiction treatment represents one treatment engagement pathway, yet OEND needs among these individuals have not been fully described.

Methods

We characterized justice involvement patterns among 514 people who use opioids (PWUO) participating in a criminal justice diversion addiction treatment program during 2014–2016 using a gender-stratified latent class analysis. We described prevalence and correlates of naloxone knowledge using quasi-Poisson regression models with robust standard errors.

Results

Only 56% of participants correctly identified naloxone as an opioid overdose treatment despite that 68% had experienced an overdose and 79% had witnessed another person overdose. We identified two latent justice involvement classes: low involvement (20.3% of men, 46.5% of women), characterized by older age at first arrest, more past-year arrests, and less time incarcerated; and high involvement (79.7% of men, 53.5% of women), characterized by younger age at first arrest and more lifetime arrests and time incarcerated. Justice involvement was not associated with naloxone knowledge. Male participants who had personally overdosed more commonly identified naloxone as an overdose treatment after adjustment for age, race, education level, housing status, heroin use, and injection drug use (prevalence ratio [95% confidence interval]: men 1.5 [1.1–2.0]).

Conclusions

All PWUO in criminal justice diversion programs could benefit from OEND given the high propensity to experience and witness overdoses and low naloxone knowledge across justice involvement backgrounds and genders.

Electronic supplementary material

The online version of this article (10.1186/s12954-019-0317-3) contains supplementary material, which is available to authorized users.

Alcohol and Opioid Use, Co-Use, and Chronic Pain in the Context of the Opioid Epidemic: A Critical Review

The dramatic increase in opioid misuse, opioid use disorder (OUD), and opioid-related overdose deaths in the United States has led to public outcry, policy statements, and funding initiatives. Meanwhile, alcohol misuse and alcohol use disorder (AUD) are a highly prevalent public health problem associated with considerable individual and societal costs. This study provides a critical review of alcohol and opioid misuse, including issues of prevalence, morbidity, and societal costs. We also review research on interactions between alcohol and opioid use, the influence of opioids and alcohol on AUD and OUD treatment outcomes, respectively, the role of pain in the co-use of alcohol and opioids, and treatment of comorbid OUD and AUD. Heavy drinking, opioid misuse, and chronic pain individually represent significant public health problems. Few studies have examined co-use of alcohol and opioids, but available data suggest that co-use is common and likely contributes to opioid overdose-related morbidity and mortality. Co-use of opioids and alcohol is related to worse outcomes in treatment for either substance. Finally, chronic pain frequently co-occurs with use (and co-use) of alcohol and opioids. Opioid use and alcohol use are also likely to complicate the treatment of chronic pain. Research on the interactions between alcohol and opioids, as well as treatment of the comorbid disorders is lacking. Currently, most alcohol research excludes patients with OUD and there is lack of measurement in both AUD and OUD research in relation to pain-related functioning. Research in those with chronic pain often assesses opioid use, but rarely assesses alcohol use or AUD. New research to examine the nexus of alcohol, opioids, and pain, as well as their treatment, is critically needed.

Opioid Misuse Trends in Treatment Seeking Populations: Revised Prescription Opioid Policy and Temporally Corresponding Changes

BACKGROUND

Over the last two decades, U.S. rates of prescription opioid (PO) misuse have risen drastically. In response, federal and state governments have begun to implement new PO policies. Recent legislative changes warrant up-to-date assessments of today's misuse rates.

OBJECTIVE

To explore potential changes in opioid misuse trends among substance-using treatment seekers, in temporal relation to legislative response.

METHODS

Substance-use data were collected from two cross-sectional Florida-based inpatient cohorts during periods preceding (pre-policy; n = 647) and following (post-policy; n = 396) statewide PO policy initiatives. Participants provided information concerning their most frequently used drugs before treatment. PO and illicit opioid (IO) use prevalence, frequency and route of administration were examined for pre-policy vs. post-policy cohort differences.

RESULTS

Relative to the pre-policy cohort, a greater percentage of the post-policy cohort reported recent misuse, daily use, and intravenous administration of POs. IO use was also more frequently reported post-policy. Non-opioid drug use prevalence did not significantly differ between cohorts. Among the opioid-using subsample, equivalent percentages of the pre- and post-policy cohorts reported the use of POs without IOs, IOs without POs, and POs/IOs concurrently. Conclusions/Importance: Florida's PO policy amendments were temporally accompanied by a higher prevalence of PO misuse and IO use among treatment-seekers assessed in this study. Whether our data reflect increased awareness of and treatment seeking for opioid use disorders or insufficient efficacy of new policies to reduce opioid misuse remains in question. Regardless, findings suggest the need for enhanced emphasis on mitigating hazardous PO-use behaviors (e.g., IV use).

Frequency of prescription opioid misuse and suicidal ideation, planning, and attempts

The goal of this study was to examine the relationship between past-year frequency of prescription opioid misuse and past-year suicidal ideation, suicide planning, and suicide attempts. Secondary data analyses were conducted using data from 41,053 participants of the 2014 National Survey of Drug Use and Health. Past-year frequency of prescription opioid misuse was grouped into 4 categories: none, less than monthly (1-11 times), monthly to weekly (12-51 times), and weekly or more (52 times or more). Binomial logistic regression analyses adjusted for demographics, overall health rating, depression, anxiety, and substance use disorders to test the associations between frequency of prescription opioid misuse and suicide-related variables. Compared to those who did not endorse prescription opioid misuse in the past year, prescription opioid misuse was significantly associated with suicidal ideation, suicide planning, and suicide attempts for each frequency of use category in unadjusted models (p < 0.05). In adjusted models, frequency of prescription opioid misuse remained significantly associated with suicidal ideation (p < 0.05 for each frequency category); however, only the group reporting weekly or more use on average was associated with suicide planning and attempts (p < 0.05). The findings provide novel specificity regarding prescription opioid use in relation to suicide-related outcomes further supporting enhanced access to suicide prevention and nonpharmacological approaches to pain management across various settings.

Is employment status in adults over 25 years old associated with nonmedical prescription opioid and stimulant use?

PURPOSE

Nonmedical use of prescription opioid and stimulants (NMUPO and NMUPS, respectively) has declined in recent years, but remains an important public health problem. Evidence regarding their relationships with employment status remains unclear. We determined the relationship between employment status and NMUPO and NMUPS.

METHODS

We analyzed a cross-sectional, nationally representative, weighted sample of 58,486 adults, ages 26 years and older, using combined 2011-2013 data from the National Survey on Drug Use and Health (NSDUH). We fit two crude and two adjusted multivariable logistic regression models to assess the relationship between our two different outcomes of interest: (1) past-year NMUPO and (2) past-year NMUPS, and our exposure of interest: employment status, categorized as (1) full time, (2) part time, (3) unemployed, and (4) not in the workforce. Our adjusted models featured the following covariates: sex, race, age, marital status, and psychological distress, and other nonmedical use.

RESULTS

Prevalence of NMUPO was higher than NMUPS (3.48 vs. 0.72%). Unemployed participants had the highest odds of NMUPO [aOR 1.45, 95% CI (1.15-1.82)], while those not in the workforce had the highest odds of NMUPS [aOR 1.71, 95% CI (1.22-2.37)]. Additionally, part-time and unemployed individuals had increased odds of NMUPS [aORs, 95% CI 1.59 (1.09-2.31) and 1.67 (1.11-2.37) respectively], while those not in the workforce had decreased odds of NMUPO [aOR 0.82, 95% CI (0.68-0.99)] relative to full-time participants.

CONCLUSIONS

There is a need for adult prevention and deterrence programs that target nonmedical prescription drug use, especially among those unemployed or not in the workforce.

Prescription Opioid Craving: Relationship With Pain and Substance Use-Related Characteristics

BACKGROUND

Craving is associated with prescription opioid use in opioid-addicted pain patients.

OBJECTIVES

This study evaluated the relationship between craving for prescription opioids and selected pain and substance use characteristics.

METHOD

In this cross-sectional study, patients (N = 106) being treated for opioid dependence were recruited from one of three sites from December 2012 to April 2013. Participants completed the multi-dimensional Desire for Drugs Questionnaire to assess craving, and other questionnaires to assess pain, substance use, and demographic characteristics. Data were analyzed using Pearson product-by-moment correlations, ANOVAs, and multiple linear regressions.

RESULTS

At the bivariate level, desire-and-intention to use prescription opioids and craving for relief from negative states were positively associated with both pain severity and interference. Linear regression analyses revealed significant positive associations between Desire-and-Intention subscale scores and obsessive thoughts and compulsive behaviors associated with prescription opioids and pain severity. Negative Reinforcement subscales scores were positively associated with obsessive thoughts and compulsive behaviors associated with prescription opioids and the outcome expectancies of pain reduction, but not pain severity.

CONCLUSIONS/IMPORTANCE

This study extended previous research assessing the link between pain and craving by demonstrating that desire-and-intention, but not craving for the negative reinforcing effects are associated with pain severity after considering various substance use characteristics. Additional research is needed to clarify the relationship between pain and aspects of craving while also considering pain-specific covariates. This study highlights that the multi-dimensionality of craving is an important aspect to consider when clinicians and researchers evaluate the relationship between pain and craving.

Opioid Prescribing at Hospital Discharge Contributes to Chronic Opioid Use

BACKGROUND

Chronic opioid therapy for chronic pain treatment has increased. Hospital physicians, including hospitalists and medical/surgical resident physicians, care for many hospitalized patients, yet little is known about opioid prescribing at hospital discharge and future chronic opioid use.

OBJECTIVE

We aimed to characterize opioid prescribing at hospital discharge among 'opioid naïve' patients. Opioid naïve patients had not filled an opioid prescription at an affiliated pharmacy 1 year preceding their hospital discharge. We also set out to quantify the risk of chronic opioid use and opioid refills 1 year post discharge among opioid naïve patients with and without opioid receipt at discharge.

DESIGN

This was a retrospective cohort study.

PARTICIPANTS

From 1 January 2011 to 31 December 2011, 6,689 opioid naïve patients were discharged from a safety-net hospital.

MAIN MEASURE

Chronic opioid use 1 year post discharge.

KEY RESULTS

Twenty-five percent of opioid naïve patients (n = 1,688) had opioid receipt within 72 hours of discharge. Patients with opioid receipt were more likely to have diagnoses including neoplasm (6.3% versus 3.5%, p < 0.001), acute pain (2.7% versus 1.0 %, p < 0.001), chronic pain at admission (12.1% versus 3.3%, p < 0.001) or surgery during their hospitalization (65.1% versus 18.4%, p < 0.001) compared to patients without opioid receipt. Patients with opioid receipt were less likely to have alcohol use disorders (15.7% versus 20.7%, p < 0.001) and mental health disorders (23.9% versus 31.4%, p < 0.001) compared to patients without opioid receipt. Chronic opioid use 1 year post discharge was more common among patients with opioid receipt (4.1% versus 1.3%, p < 0.0001) compared to patients without opioid receipt. Opioid receipt was associated with increased odds of chronic opioid use (AOR = 4.90, 95% CI 3.22-7.45) and greater subsequent opioid refills (AOR = 2.67, 95% CI 2.29-3.13) 1 year post discharge compared to no opioid receipt.

CONCLUSION

Opioid receipt at hospital discharge among opioid naïve patients increased future chronic opioid use. Physicians should inform patients of this risk prior to prescribing opioids at discharge.

The Relationship Between Non-Medical Use of Prescription Opioids and Sex Work Among Adults in Residential Substance Use Treatment

High rates of substance use (e.g., alcohol, cocaine, heroin) have been documented among individuals who engage in sex work (SW), and adults seeking substance use disorder (SUD) treatment frequently report prior engagement in SW. Non-medical use of prescription opioids (NMUPO) has increased over the last decade, but little is known about the relationship between NMUPO with sex exchange. The purpose of this study was to describe the prevalence of recent SW among patients at a large residential SUD treatment center and examine the association between NMUPO and SW. Approximately 14% of 588 adults reported involvement in SW in the month prior to treatment. NMUPO was more common among those with a history of SW (95% of sex workers vs. 74% of non-sex-workers), and this association remained statistically significant after controlling for demographic factors, other substance use and psychiatric symptom severity (odds ratio=3.38). SW is relatively common among patients in residential SUD treatment, and is associated with greater psychiatric severity and more extensive substance use, including alarming rates of NMUPO. Addiction treatment for individuals involved in SW may benefit from the addition of content related to NMUPO.

Pain acceptance and opiate use disorders in addiction treatment patients with comorbid pain

OBJECTIVES

Studies from pain treatment settings indicate that poor acceptance of pain may be an important and modifiable risk factor for higher severity of opioid use. However, the degree to which pain acceptance relates to opioid use severity in the addiction treatment population is unknown. In this study of addiction treatment patients with co-morbid pain, we examined correlates of severity of opiate (heroin and prescription opioid) use, with a particular focus on the role of pain acceptance.

METHODS

Patients in residential addiction treatment with comorbid pain (N=501) were stratified into low, moderate and high severity of opiate use. Demographic and clinical characteristics were compared across opiate severity categories.

RESULTS

72% (N=360) of the participants had symptoms that were consistent with an opiate use disorder. Younger age, Caucasian race, female gender, cocaine use and lower pain acceptance were associated with higher severity of opiate use, whereas pain intensity was not. Controlling for demographic and other risk factors, such as substance use and pain intensity, higher pain acceptance was associated with lower odds of severe prescription opioid (AOR 0.50, 95% CI 0.38-0.68 for a one SD increase in pain acceptance) and heroin use (AOR 0.57, 95% CI 0.44-0.75 for a one SD increase in pain acceptance).

CONCLUSIONS

Problematic opiate use is common in addictions treatment patients with chronic pain. Lower pain acceptance is related to greater opiate use severity, and may be an important modifiable target for interventions to successfully treat both pain and opiate use disorders.

Evaluation of the current opioid misuse measure among substance use disorder treatment patients

The Current Opioid Misuse Measure (COMM) has demonstrated promising psychometric properties among pain clinic and primary care patients. Given the high prevalence of the nonmedical use of prescription opioids among substance use disorder patients, the COMM may also be useful in substance use disorder treatment settings. The purpose of this study was to assess the factor structure and validity of the COMM in a sample of substance use disorder patients. Participants (n = 351) were recruited from a large residential substance use disorder treatment center and completed the COMM and several questionnaires assessing various substance use and health functioning characteristics. Factor analyses yielded a two-factor solution; however, each of the items in the second factor cross-loaded onto the first factor and just one factor was retained. To provide support for this new 11-item COMM, we found that higher scores on this COMM were associated with greater drug use severity, greater endorsement of positive, negative, and pain relief outcome expectancies related to opioid use, increased pain intensity, and decreased physical and mental health functioning. These findings provide initial support for the psychometric properties of this version of the COMM adapted for substance use disorder treatment settings. Given its promising psychometric properties, the 11 items of the COMM to evaluate the nonmedical use of prescription opioids have potential utility among substance use disorder patients. The COMM could be used to examine nonmedical use over the course of treatment and to aid treatment planning. It could also be used in research as an outcome measure.

Characteristics of substance use disorder treatment patients using medical cannabis for pain

BACKGROUND

This study was designed to assess the prevalence and correlates of self-reported medical cannabis use for pain in a substance use disorder (SUD) treatment program.

METHOD

Participants (n=433) aged 18 years and older were recruited from February 2012 to July 2014 at a large residential SUD treatment program. They completed a battery of questionnaires to assess demographics, usual pain level in the past three months (using the 11-point Numeric Rating Scale for pain), depression (using the Beck Depression Inventory), previous types of pain treatments, and lifetime and past-year use of substances (using the Addiction Severity Index). Using both adjusted and unadjusted logistic regression models, we compared those who reported medical cannabis use for pain with those who did not report it.

RESULTS

Overall, 15% of the sample (n=63) reported using medical cannabis for pain in the past year. After adjusting for age, medical cannabis use for pain was significantly associated with past-year use of alcohol, cocaine, heroin, other opioids, and sedatives, but was not associated with usual pain level or depression. It was also associated with past year treatment of pain using prescription pain relievers without prescriptions.

CONCLUSIONS

These results indicate that medical cannabis use for pain is relatively common and is associated with more extensive substance use among SUD patients. Future work is needed to develop and evaluate strategies to assess and treat individuals who report medical cannabis for pain in SUD treatment settings.

Clinical monitoring and high-risk conditions among patients with SUD newly prescribed opioids and benzodiazepines

BACKGROUND

Opioid therapy alone or in combination with benzodiazepines poses safety concerns among patients with substance use disorders (SUD). Guidelines for opioid therapy recommend SUD treatment and enhanced monitoring, especially in patients with additional risk factors, but information on monitoring practices is sparse. This study estimated high-risk conditions - psychiatric comorbidity, suicide risk, and age <35 and ≥65 - and described clinical monitoring among patients with SUD who were newly prescribed opioids alone and concurrent with benzodiazepines long-term.

METHODS

This study included VA Northwest Veterans Network patients with SUD who started opioids only (n=980) or benzodiazepines and opioids concurrently (n=353) long-term (≥90 days) in 2009-2010. Clinical characteristics, outpatient visits and urine drug screens (UDS) documented within 7-months after starting medications were extracted from VA data.

RESULTS

Approximately 67% (95% CI: 64-70) of opioids only and 94% (92-97) of concurrent medications groups had ≥1 psychiatric diagnoses. Prevalences of suicide risk and age <35 and ≥65 were 7% (5-8), 6% (5-8) and 18% (15-20) among the opioids only group, and 20% (16-24), 8% (5-11) and 13% (9-16) among the concurrent medications group. Among patients prescribed opioids only and medications concurrently, 87% and 91% attended primary care, whereas 28% and 26% attended SUD specialty-care. Overall, 30% and 48% of opioids only and concurrent medications groups engaged in mental health or SUD care, and 35% and 39% completed UDS.

CONCLUSIONS

Improvements in clinical monitoring are needed as many VA patients with SUD and comorbid risks who initiate opioid therapy do not receive sufficient mental health/SUD care or UDS monitoring.

Co-occurring prescription opioid use problems and posttraumatic stress disorder symptom severity

BACKGROUND

Prescription opioids are the most rapidly growing category of abused substances, and result in significant morbidity, mortality and healthcare costs. Co-occurring with psychiatric disorders, persons with prescription opioid problems have negative treatment outcomes. Data are needed on the prevalence of co-occurring prescription opioid abuse and specific disorders, such as posttraumatic stress disorder (PTSD), to better inform clinical practice.

OBJECTIVE

To determine prevalence rates of current co-occurring prescription opioid use problems and PTSD symptom severity among patients in community addiction treatment settings.

METHODS

We abstracted administrative and chart information on 573 new admissions to three addictive treatment agencies during 2011. Systematic data were collected on PTSD symptoms, substance use, and patient demographics.

RESULTS

Prescription opioid use was significantly associated with co-occurring PTSD symptom severity (OR: 1.42, p < 0.05). Use of prescription opioids in combination with sedatives (OR: 3.81, p < 0.01) or cocaine (OR: 2.24, p < 0.001) also were associated with PTSD severity. The odds of having co-occurring PTSD symptoms and prescription opioid use problem were nearly three times greater among females versus males (OR: 2.63, p < 0.001). Younger patients (18-34 years old) also were at higher risk (OR: 1.86, p < 0.01).

CONCLUSIONS

Prescription opioid use problems are a risk factor for co-occurring PTSD symptom severity. Being female or younger increase the likelihood of this co-morbidity. Further research is needed to confirm these finding, particularly using more rigorous diagnostic procedures. These data suggest that patients with prescription opioid use problems should be carefully evaluated for PTSD symptoms.

Alcohol, tobacco, and drug use among emergency department patients

BACKGROUND

The prevalence of alcohol, tobacco, and other drug (ATOD) use among emergency department (ED) patients is high and many of these patients have unrecognized and unmet substance use treatment needs. Identification of patients in the ED with problem substance use is not routine at this time.

METHODS

We examined screening data, including standardized measures of ATOD use (HSI, AUDIT-C, DAST-10), from 14,866 ED patients in six hospitals across the United States. We expected younger age, male gender, higher triage acuity, and other substance use severity (ATOD) to be associated both with use versus abstinence and with severity of each substance use type. We used negative binomial hurdle models to examine the association between covariates and (1) substance use versus abstinence (logistic submodel) and with (2) severity among those who used substances (count submodel).

RESULTS

Rates of use and problem use in our sample were similar to or higher than other ED samples. Younger patients and males were more likely to use ATOD, but the association of age and gender with severity varied across substances. Triage level was a poor predictor of substance use severity. Alcohol, tobacco, and drug use were significantly associated with using other substances and severity of other substance use.

CONCLUSION

Better understanding of the demographic correlates of ATOD use and severity and the patterns of comorbidity among classes of substance can inform the design of optimal screening and brief intervention procedures addressing ATOD use among ED patients. Tobacco may be an especially useful predictor.

Use of Photovoice in addiction

The addiction to narcotic substances is an increasing public health problem. Addiction relapse is preventable. Photovoice may increase the success rate by offering a deeper perspective, insight, dimension of feeling, and perception connecting with those who feel disconnected. This process uses cameras, discussion groups, storyboards, and interaction to thread through difficult discussion points created by the participant. Understanding the process of recovery from opioid substance abuse creates an opportunity to maintain socially acceptable behaviors and decreases the risk of participating in illegal activities and making poor choices. Photovoice allows for creative expression of thought by bypassing cognitive defenses.

Associations among pain, non-medical prescription opioid use, and drug overdose history

BACKGROUND AND OBJECTIVE

Recently, use of prescription opioids (POs) has increased; non-medical PO (NMPO) use is linked to overdose. NMPO use is common among individuals prescribed opioids for pain, and those in substance use disorder (SUD) treatment with pain could be at increased risk for unintentional overdose due to NMPO use. We examined associations between pain, NMPO use, and overdose among SUD treatment patients.

METHODS

Among 342 patients at a residential SUD treatment center, logistic regression examined the association of overdose with pain, adjusting for substance use, suicide attempts, and demographics.

RESULTS

Pain was positively related to NMPO use. Heroin use, suicide attempts, pain, and NMPO use were positively associated with overdose; but NMPO use attenuated the pain-overdose relationship.

CONCLUSIONS

The relationship between pain and overdose among substance users may be, in part, explained by the association between pain and heavy NMPO use.

Prescription opioid use among addictions treatment patients: nonmedical use for pain relief vs. other forms of nonmedical use

BACKGROUND

Differences between those who engage in nonmedical prescription opioid use for reasons other than pain relief and those who engage in nonmedical use for reasons related to pain only are not well understood.

METHODS

Adults in a residential treatment program participated in a cross-sectional self-report survey. Participants reported whether they used opioids for reasons other than pain relief (e.g., help sleep, improve mood, or relieve stress). Within those with past-month nonmedical opioid use (n=238), logistic regression tested differences between those who reported use for reasons other than pain relief and those who did not.

RESULTS

Nonmedical use of opioids for reasons other than pain relief was more common (66%) than nonmedical use for pain relief only (34%), and those who used for reasons other than pain relief were more likely to report heavy use (43% vs. 11%). Nonmedical use for reasons other than pain relief was associated with having a prior overdose (odds ratio [OR]=2.54, 95% CI: 1.36-4.74) and use of heroin (OR=4.08, 95% CI: 1.89-8.79), barbiturates (OR=6.44, 95% CI: 1.47, 28.11), and other sedatives (OR=5.80, 95% CI: 2.61, 12.87). Individuals who reported nonmedical use for reasons other than pain relief had greater depressive symptoms (13.1 vs. 10.5) and greater pain medication expectancies across all three domains (pleasure/social enhancement, pain reduction, negative experience reduction).

CONCLUSIONS

Among patients in addictions treatment, individuals who report nonmedical use of prescription opioids for reasons other than pain relief represent an important clinical sub-group with greater substance use severity and poorer mental health functioning.

Risk for prescription opioid misuse among patients with a history of substance use disorder

BACKGROUND

History of substance use disorder (SUD) is associated with risk for prescription opioid misuse in chronic pain patients; however, little data are available regarding risk for prescription opioid misuse within the subgroup of patients with SUD histories.

METHODS

Participants with chronic pain, histories of SUD, and current opioid prescriptions were recruited from a single VA Medical Center. Participants (n=80) completed measures of risk for prescription opioid misuse, pain severity, pain-related interference, pain catastrophizing, attitudes about managing pain, emotional functioning, and substance abuse.

RESULTS

Participants were divided into three groups based on risk for prescription opioid misuse, as assessed by the Pain Medication Questionnaire (PMQ). Participants in the High-PMQ group reported more pain severity, interference, catastrophizing, depressive symptoms, and lowest self-efficacy for managing pain, relative to the Low-PMQ group; the High-PMQ group and Moderate-PMQ group differed on measures of pain severity, catastrophizing, and psychiatric symptoms (all p-values <0.05). The High-PMQ group had the highest rates of current SUD (32% versus 20% and 0, p=0.009). A regression analysis evaluated factors associated with PMQ scores: pain catastrophizing was the only variable significantly associated with risk for prescription opioid misuse.

CONCLUSIONS

Among patients with SUD histories, those with higher risk for prescription opioid misuse reported more pain and impairment, symptoms of depression, and were more likely to have current SUD, relative to patients with lower risk for prescription opioid misuse. In adjusted analyses, pain catastrophizing was significantly associated with risk for prescription opioid misuse, but current SUD status was not a significant predictor.

Non-medical use of opioids among HIV-infected opioid dependent individuals on opioid maintenance treatment: the need for a more comprehensive approach

BACKGROUND

Opioid maintenance treatment (OMT) has a positive impact on substance use and health outcomes among HIV-infected opioid dependent patients. The present study investigates non-medical use of opioids by HIV-infected opioid-dependent individuals treated with buprenorphine or methadone.

METHODS

The MANIF 2000 study is a longitudinal study that enrolled a cohort of 476 HIV-infected opioid-dependent individuals. Data were collected in outpatient hospital services delivering HIV care in France. The sample comprised all patients receiving OMT (either methadone or buprenorphine) who attended at least one follow-up visit with data on adherence to OMT (N = 235 patients, 1056 visits). Non-medical use of opioids during OMT was defined as having reported use of opioids in a non-medical context, and/or the misuse of the prescribed oral OMT by an inappropriate route of administration (injection or sniffing). After adjusting for the non-random assignment of OMT type, a model based on GEE was then used to identify predictors of non-medical use of opioids.

RESULTS

Among the 235 patients, 144 (61.3%) and 91 (38.9%) patients were receiving buprenorphine and methadone, respectively, at baseline. Non-medical use of opioids was found in 41.6% of visits for 83% of individual patients. In the multivariate analysis, predictors of non-medical use of opioids were: cocaine, daily cannabis, and benzodiazepine use, experience of opioid withdrawal symptoms, and less time since OMT initiation.

CONCLUSIONS

Non-medical use of opioids was found to be comparable in OMT patients receiving methadone or buprenorphine. The presence of opioid withdrawal symptoms was a determinant of non-medical use of opioids and may serve as a clinical indicator of inadequate dosage, medication, or type of follow-up. Sustainability and continuity of care with adequate monitoring of withdrawal symptoms and polydrug use may contribute to reduced harms from ongoing non-medical use of opioids.