Correlates of indicators of potential extra-medical opioid use in people prescribed opioids for chronic non-cancer pain

Stimulant use and opioid-related harm in patients on long-term opioids for chronic pain

BACKGROUND

There is lack of clarity regarding the impact of and optimal clinical response to stimulant use among people prescribed long-term opioid therapy (LTOT) for pain.

OBJECTIVE

To determine if a positive urine drug test (UDT) for stimulants was associated with subsequent opioid-related harm or discontinuation of LTOT.

DESIGN

Retrospective cohort study.

PATIENTS

People living with and without HIV living in a major metropolitan area with public insurance, prescribed LTOT for chronic, non-cancer pain (n=600).

MAIN MEASURES

UDT results from January 2012 to June 2019 were evaluated against 1) opioid-related emergency department (ED) visits (oversedation, constipation, infections associated with injecting opioids, and opioid seeking) or death in each 90-day period following a UDT, using logistic regression, and 2) LTOT discontinuation.

RESULTS

There were no opioid overdose deaths within 90 days following a stimulant-positive UDT. A stimulant-positive UDT was not statistically significantly associated with opioid-related ED visits within 90 days (adjusted odds ratio [aOR] 1.39; 95% CI=0.88-2.21). Stimulant-positive UDT was independently associated with subsequent discontinuation of LTOT within 90 days (aOR 2.96; 95% CI=2.13 - 4.12). Living with HIV was independently associated with decreased odds of LTOT discontinuation (aOR 0.65; 95% CI 0.43 - 0.99).

CONCLUSIONS

Despite no association between a stimulant-positive UDT and subsequent opioid-related harm, there was an association with subsequent LTOT discontinuation, with heterogeneity across clinical groups. Detection of stimulant use should result in a discussion of substance use and risk, rather than reflex LTOT discontinuation.

Determining the Impact of Opioid Policy on Substance Use and Mental Health-Related Harms: Protocol for a Data Linkage Study

BACKGROUND

Increasing harms related to prescription opioids over the past decade have led to the introduction of a range of key national and state policy initiatives across Australia. These include introducing a mandatory real-time prescription drug-monitoring program in the state of Victoria from April 2020 and a series of changes to subsidies for opioids on the Pharmaceutical Benefit Scheme from June 2020. Together, these changes aim to influence opioid supply and reduce harms related to prescription opioids, yet few studies have specifically explored how these policies have influenced opioid prescribing and related harms in Australia.

OBJECTIVE

The aim of this study is to examine the impact of a range of opioid-related policies on hospital admissions and emergency department (ED) presentations in Victoria, Australia. In particular, the study aims to understand the effect of various opioid policies and opioid-prescribing changes on (1) the number and rates of ED presentations and hospital admissions attributed to substance use (ie, opioid and nonopioid related) or mental ill-health (eg, suicide, self-harm, anxiety, and depression), (2) the association between differing opioid dose trajectories and the likelihood of ED presentations and hospital admissions related to substance use and mental ill-health, and (3) whether changes in an individual's opioid prescribing change the risk related to ED presentations and hospital admissions related to substance use and mental ill-health.

METHODS

We will conduct a population-level linked data study. General practice health records obtained from the Population Level Analysis and Reporting platform are linked with person-level data from 3 large hospital networks in Victoria, Australia. Interrupted time series analysis will be used to examine the impact of opioid policies on a range of harms, including the rates of presentations related to substance use (opioid and nonopioid) and mental ill-health among the primary care cohort. Group-based trajectory modeling and a case-crossover design will be used to further explore the impact of changes in opioid dosage and other covariates on opioid and nonopioid poisonings and mental ill-health-related presentations at the patient level.

RESULTS

Given that this paper serves as a protocol, there are currently no results available. The deidentified primary health data were sourced from electronic medical records of approximately 4,717,000 patients from 542 consenting general practices over a 6-year period (2017-2022). The submission of results for publication is planned for early 2024.

CONCLUSIONS

This study will add to the limited evidence base to help understand the impact of opioid policies in Australia, including whether intended or unintended outcomes are occurring as a result.

TRIAL REGISTRATION

EU PAS Register EUPAS104005; https://www.encepp.eu/encepp/viewResource.htm?id=104006.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/51825.

Prevalence of mental disorders among people with opioid use disorder: A systematic review and meta-analysis

BACKGROUND

Opioid use disorder (OUD) and mental disorders are major public health issues and comorbidity is common. Among people with OUD, comorbid mental disorders are associated with poorer health outcomes. To our knowledge, this is the first systematic review and meta-analysis to estimate prevalence of specific mental disorders among people with OUD.

METHODS

We searched Embase, MEDLINE, and PsycInfo from 1990 to 2021 for observational studies of depression, anxiety, post-traumatic stress disorder (PTSD), bipolar, personality, and other pre-specified mental disorders among people with OUD. We pooled current and lifetime estimates of each disorder using random-effects meta-analyses with 95% Confidence Intervals (CIs). Meta-regressions and stratified analyses were used to assess heterogeneity of prevalence estimates by methodological factors and sample characteristics.

FINDINGS

Of the 36,971 publications identified, we included data from 345 studies and 104,135 people with OUD in at least one pooled estimate. Among people with OUD, the prevalence of current depression was 36.1% (95%CI 32.4-39.7%), anxiety was 29.1% (95%CI 24.0-33.3%), attention-deficit/hyperactivity disorder was 20.9% (95%CI 15.7-26.2%), PTSD was 18.1% (95%CI 15.4-20.9%), and bipolar disorder was 8.7% (95%CI 6.7-10.7%). Lifetime prevalence of anti-social personality disorder was 33.6% (95%CI 29.1-38.0%) and borderline personality disorder was 18.2% (95% CI 13.4-23.1%). Sample characteristics and methodological factors, including sex, were associated with variance of multiple prevalence estimates.

INTERPRETATION

Our findings emphasise the need for access to mental disorder treatment among people with OUD. Specific mental disorder estimates may inform clinical guidelines, treatment services, and future research for people with OUD, including subpopulations with distinct treatment needs.

Exposure to childhood trauma increases risk of opioid use disorder among people prescribed opioids for chronic non-cancer pain

BACKGROUND

Little is known about childhood trauma exposure and Opioid Use Disorder (OUD) among people prescribed opioids for chronic non-cancer pain (CNCP). We aimed to (1) describe childhood trauma exposure among this population, and (2) examine if childhood trauma exposure was an independent risk factor for OUD among people prescribed opioids for CNCP.

METHODS

This study used baseline data from 1514 people prescribed opioids for CNCP in Australia. We used latent class analysis to characterise participants by five indicators of childhood trauma exposure and logistic regression to characterise class membership. We used discrete-time survival analysis to determine whether there was an independent association between childhood trauma exposure and risk of OUD according to adjusted odds ratios (AOR).

RESULTS

We identified three classes of childhood trauma exposure: (1) 'low exposure' (n = 765; 54.0%), (2) 'emotional & sexual abuse' (n = 324; 22.9%), and (3) 'high all' (n = 329; 23.2%). 'Emotional & sexual abuse' or 'high all' childhood trauma exposure class membership was associated with higher rates of pain difficulties, mental disorders, and substance use disorders, compared to 'low exposure' class membership. After we adjusted for previously identified OUD risk factors, participants in the 'emotional & sexual abuse' (AOR 1.51; 95%CI 1.09-2.12; p = 0.016) and 'high all' (AOR 1.77; 95%CI 1.28-2.45; p = 0.001) childhood trauma exposure classes were at increased risk of OUD.

CONCLUSIONS

Among people prescribed opioids for CNCP, childhood trauma exposure was a common, independent risk factor for OUD. Availability of trauma-informed services for those prescribed opioids for CNCP may reduce risk of transition to OUD.