Sex differences in prescription opioid use patterns assessed through a community engagement program in Florida

The HealthStreet Cancer Survivor Cohort: a Community Registry for Cancer Research

PURPOSE

This report describes a cancer survivor cohort from a community engagement program and compares characteristics and willingness to participate in health research between the cancer survivors and non-cancer community members.

METHODS

Among 11,857 members enrolled in HealthStreet at the University of Florida (10/2011-03/2020), 991 cancer survivors were identified and 1:1 matched to control members without cancer on sex, age, and zip code. Demographics, body weight, height, social determinants of health, history of cancer, and willingness to participate in research were recorded by Community Health Workers as a part of the baseline Health Needs Assessment.

RESULTS

Among the cancer survivors, 71.6% were female and 19.2% lived in rural areas with a mean age of 56.7 years in females and 60.8 years in males. At baseline, 44.7% received a cancer diagnosis within 5 years, while 15.8%, more than 20 years. Cancer survivors (vs. matched non-cancer controls) were less likely to be Black (31.1% vs. 63.6%) but more likely to be divorced, separated, or widowed (49.5% vs. 41.2%), be normal/underweight (34.0% vs. 25.6%) and have health insurance (80.0% vs. 68.6%; all p < 0.05). Cancer survivors versus matched controls reported higher rates of ever being in a health research study (32.4% vs. 24.9%) and interest in participating in studies ranging from minimal risk to greater-than-minimal risk.

CONCLUSIONS

Cancer survivors from this community engagement program agnostic to cancer types and treatment are diverse in geography, race, and social determinants of health and can be a valuable resource for observational, interventional, and biospecimen research in cancer survivorship.

Overdose mortality rates for opioids and stimulant drugs are substantially higher in men than in women: state-level analysis

Drug overdoses from opioids and stimulants are a major cause of mortality in the United States. It is unclear if there are stable sex differences in overdose mortality for these drugs across states, whether these differ across the lifespan, and if so, whether they can be accounted for by different levels of drug misuse. This was a state-level analysis of epidemiological data on overdose mortality, across 10-year age bins (age range: 15-74), using the CDC WONDER platform for decedents in the United States in 2020-1. The outcome measure was rate of overdose death (per 100,000) for: synthetic opioids (e.g., fentanyl), heroin, psychostimulants with potential for misuse (e.g., methamphetamine), and cocaine. Multiple linear regressions controlled for ethnic-cultural background, household net worth, and sex-specific rate of misuse (from NSDUH, 2018-9). For all these drug categories, males had greater overall overdose mortality than females, after controlling for rates of drug misuse. The mean male/female sex ratio of mortality rate was relatively stable across jurisdictions: synthetic opioids (2.5 [95% CI, 2.4-7]), heroin, (2.9 [95% CI, 2.7-3.1], psychostimulants (2.4 [95% CI, 2.3-5]), and cocaine (2.8 [95% CI, 2.6-9]). With data stratified in 10-year age bins, the sex difference generally survived adjustment (especially in the 25-64 age range). Results indicate that males are significantly more vulnerable than females to overdose deaths caused by opioid and stimulant drugs, taking into account differing state-level environmental conditions and drug misuse levels. These results call for research into diverse biological, behavioral, and social factors that underlie sex differences in human vulnerability to drug overdose.

Prescription high-risk polysubstance use among opioid maintenance treatment patients

BACKGROUND

Among individuals receiving buprenorphine or methadone as opioid maintenance treatment (OMT), concomitant use of other central nervous system depressants, including prescription drugs, can increase risk of overdose. We aimed to 1) determine the prevalence of use of high-risk prescription drugs (opioid analgesics, benzodiazepines, benzodiazepine-related drugs, and gabapentinoids) among OMT patients, 2) calculate its associations with different mental health and pain-related diagnoses, and 3) compare prevalence of concomitant use with the general population.

METHODS

A national sample comprising all individuals filling at least one prescription of OMT drugs in Norway in 2019 was formed. Healthcare registry data were linked to investigate high-risk prescription drug use and different diagnoses. We calculated one-year prevalence of use, amount dispensed in defined daily doses (DDDs), and the number of prescribers for the different high-risk prescription drugs. Logistic regression was used to determine associations (adjusted odds ratios; aOR, 95% confidence intervals (CIs)) between diagnoses and use. Prevalence of use was calculated both in the OMT patient sample and the general population.

RESULTS

Among the OMT patient sample (n=7,299), 47.6% (n=3,476) filled prescriptions for benzodiazepines. For each high-risk prescription drug group, there was a median of 1-2 prescribers. Musculoskeletal diagnoses were the strongest factor for concomitant high-risk prescription drug use for both males (aOR 3.23, CI: 2.72-3.85) and females (aOR 3.07, CI: 2.42- 3.90). The 1-year prevalence of benzodiazepine use was 11.4 times higher for males and 7.1 times higher for females in OMT than the general population. The amount in DDDs was higher for every drug for OMT patients than the general population, particularly for benzodiazepines.

CONCLUSIONS

OMT patients frequently filled prescriptions for high-risk drugs, and in higher dosages than the general population. However, we found little evidence of 'doctor shopping.' Given that these prescription drugs carry overdose risk, particularly when combined with OMT drugs, our findings emphasize the continued need for education and caution to both prescribers and patients on their concomitant use with OMT.

Overdose mortality rates for opioids or stimulants are higher in males than females, controlling for rates of drug misuse: State-level data

Importance

Drug overdoses from opioids like fentanyl and heroin and stimulant drugs such as methamphetamine and cocaine are a major cause of mortality in the United States, with potential sex differences across the lifespan.

Objective

To determine overdose mortality for specific drug categories across the lifespan of males and females, using a nationally representative state-level sample.

Design

State-level analyses of nationally representative epidemiological data on overdose mortality for specific drug categories, across 10-year age bins (age range: 15-74).

Setting

Population-based study of Multiple Cause of Death 2020-2021 data from the Centers of Disease Control and Prevention (CDC WONDER platform).

Participants

Decedents in the United States in 2020-2021.

Main outcome measures

The main outcome measure was sex-specific rates of overdose death (per 100,000) for: synthetic opioids excluding methadone (ICD-10 code: T40.4; predominantly fentanyl), heroin (T40.1), psychostimulants with potential for misuse, excluding cocaine (T43.6, predominantly methamphetamine; labeled "psychostimulants" hereafter), and cocaine (T40.5). Multiple regression analyses were used to control for ethnic-cultural background, household net worth, and sex-specific rate of misuse of the relevant substances (from the National Survey on Drug Use and Health, 2018-2019).

Results

For each of the drug categories assessed, males had greater overall overdose mortality than females, after controlling for rates of drug misuse. The mean male/female sex ratio of mortality rate for the separate drug categories was relatively stable across jurisdictions: synthetic opioids (2.5 [95%CI, 2.4-2.7]), heroin, (2.9 [95%CI, 2.7-3.1], psychostimulants (2.4 [95%CI, 2.3-2.5]), and cocaine (2.8 [95%CI, 2.6-2.9]). With data stratified in 10-year age bins, the sex difference generally survived adjustment for state-level ethnic-cultural and economic variables, and for sex-specific misuse of each drug type (especially for bins in the 25-64 age range). For synthetic opioids, the sex difference survived adjustment across the lifespan (i.e., 10-year age bins ranging from 15-74), including adolescence, adulthood and late adulthood.

Conclusions and Relevance

The robustly greater overdose mortality in males versus females for synthetic opioids (predominantly fentanyl), heroin, and stimulant drugs including methamphetamine and cocaine indicate that males who misuse these drugs are significantly more vulnerable to overdose deaths. These results call for research into diverse biological, behavioral, and social factors that underlie sex differences in human vulnerability to drug overdose.

Trajectories and correlates of opioid prescription receipt among patients experiencing interpersonal violence

Interpersonal violence increases vulnerability to the deleterious effects of opioid use. Increased opioid prescription receipt is a major contributor to the opioid crisis; however, our understanding of prescription patterns and risk factors among those with a history of interpersonal violence remains elusive. This study sought to identify 5-year longitudinal patterns of opioid prescription receipt among patients experiencing interpersonal violence within a large healthcare system and sociodemographic and clinical characteristics associated with prescription patterns. This secondary analysis examined electronic health record data from January 2004–August 2019 for a cohort of patients (N = 1,587) referred for interpersonal violence services. Latent class growth analysis was used to estimate trajectories of opioid prescription receipt over a 5-year period. Standardized differences were calculated to assess variation in sociodemographic and clinical characteristics between classes. Our cohort had a high prevalence of prescription opioid receipt (73.3%) and underlying co-morbidities, including chronic pain (54.6%), substance use disorders (39.0%), and mental health diagnoses (76.9%). Six prescription opioid receipt classes emerged, characterized by probability of any prescription opioid receipt at the start and end of the study period (high, medium, low, never) and change in probability over time (increasing, decreasing, stable). Classes with the highest probability of prescription opioids also had the highest proportions of males, chronic pain diagnoses, substance use disorders, and mental health diagnoses. Black, non-Hispanic and Hispanic patients were more likely to be in low or no prescription opioid receipt classes. These findings highlight the importance of monitoring for synergistic co-morbidities when providing pain management and offering treatment that is trauma-informed, destigmatizing, and integrated into routine care.

Association of sociodemographic factors with the prescription pattern of opioids for dental patients: a systematic review

Aim To evaluate the association of patients' sociodemographic factors (sex, age, ethnicity, income, educational level, living environment and health insurance) with the prescription pattern of opioids provided by oral health practitioners.Methods Observational studies that evaluated the association of patients' sociodemographic factors and the likelihood of receiving an opioid prescription provided by an oral health practitioner were eligible. Electronic searches were conducted in Medline (PubMed), Embase, Scopus, Web of Science, LILACS, SciELO, Google Scholar, and OpenGrey up to March 2021. Two authors independently screened the studies, performed data extraction, and assessed the risk-of-bias using the critical appraisal tools developed by the Joanna Briggs Institute (JBI). Certainty of the evidence was assessed with the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE).Results Eight studies were included in this systematic review. Publication year ranged from 2011 to 2021. Narrative synthesis showed with very low certainty of evidence that younger individuals were more likely to receive a prescription of opioids than older individuals. Regarding the other sociodemographic factors and the prescriptions of opioids in dentistry, the evidence is controversial. Risk of bias was low for most items assessed in the included studies.Conclusion The available evidence suggests that there is an association between patients' sociodemographic factors and the prescription patterns of opioids provided by oral health practitioners.

Pharmacovigilance Signals of the Opioid Epidemic over 10 Years: Data Mining Methods in the Analysis of Pharmacovigilance Datasets Collecting Adverse Drug Reactions (ADRs) Reported to EudraVigilance (EV) and the FDA Adverse Event Reporting System (FAERS)

In the past twenty years, the consumption of opioid medications has reached significant proportions, leading to a rise in drug misuse and abuse and increased opioid dependence and related fatalities. Thus, the purpose of this study was to determine whether there are pharmacovigilance signals of abuse, misuse, and dependence and their nature for the following prescription opioids: codeine, dihydrocodeine, fentanyl, oxycodone, pentazocine, and tramadol. Both the pharmacovigilance datasets EudraVigilance (EV) and the FDA Adverse Events Reporting System (FAERS) were analyzed to identify and describe possible misuse-/abuse-/dependence-related issues. A descriptive analysis of the selected Adverse Drug Reactions (ADRs) was performed, and pharmacovigilance signal measures (i.e., reporting odds ratio, proportional reporting ratio, information component, and empirical Bayesian geometric mean) were computed for preferred terms (PTs) of abuse, misuse, dependence, and withdrawal, as well as PTs eventually related to them (e.g., aggression). From 2003 to 2018, there was an increase in ADR reports for the selected opioids in both datasets. Overall, 16,506 and 130,293 individual ADRs for the selected opioids were submitted to EV and FAERS, respectively. Compared with other opioids, abuse concerns were mostly recorded in relation to fentanyl and oxycodone, while tramadol and oxycodone were more strongly associated with drug dependence and withdrawal. Benzodiazepines, antidepressants, other opioids, antihistamines, recreational drugs (e.g., cocaine and alcohol), and several new psychoactive substances, including mitragynine and cathinones, were the most commonly reported concomitant drugs. ADRs reports in pharmacovigilance databases confirmed the availability of data on the abuse and dependence of prescription opioids and should be considered a resource for monitoring and preventing such issues. Psychiatrists and clinicians prescribing opioids should be aware of their misuse and dependence liability and effects that may accompany their use, especially together with concomitant drugs.

Prescription Opioid Use Among a Community Sample of Older and Younger Women

Background: Women bear a heavier burden of the consequences related to prescription opioid use compared to their male counterparts; however, there has been little attention in the literature regarding prescription opioid use among women. We aimed to examine risk factors for prescription opioid use among women. Methods: Demographics, health status, and substance use data, including prescription opioid use, were collected through a community engagement program, HealthStreet, during a health needs assessment. Women older than 18 years were classified by opioid use: past 30-day, lifetime, but not past 30-day, or no lifetime prescription opioid use. Descriptive statistics and chi-square tests were calculated, and multinomial logistic regression was used to calculate adjusted odds ratios (aORs; confidence interval [CI]). Results: Among 5,549 women assessed, 15% reported past 30-day use and 41% reported lifetime use of prescription opioids. While prescription sedative use was the strongest risk factor for past 30-day use among younger women (aOR = 4.84; 95% CI, 3.59-6.51), past 6-month doctor visits was the strongest risk factor for past 30-day use among older women (aOR = 4.15; 95% CI, 2.62-6.60). Conclusions: We found higher rates of prescription opioid use in this community sample of women compared to national rates. Risk factors for recent prescription opioid use (past 30-day use) differed among older and younger women. Clinicians should be more vigilant about prescribing opioids as the medical profile for women may change through age, especially the co-prescribing of opioids and sedatives.

An examination of fatal child poisonings in the United States using the National Violent Death Reporting System (NVDRS), 2012-2017

BACKGROUND

Fatal drug overdoses are predominantly attributed to opioids. Women of childbearing age are among those at greatest risk, underscoring the need to understand the overlapping risk of fatal poisoning in children.

METHODS

A retrospective analysis of fatal poisonings among decedents aged 0-9 years captured in the National Violent Death Reporting System (NVDRS) from 2012 to 2017 was employed. Poisonings were identified using International Classification of Diseases, Tenth Revision (ICD-10) codes for poisonings (T36-T50, Y10-Y19), toxic effects of substances (T51-T65), and assault (X85-X90). The frequency and types of drugs involved in poisonings were derived from toxicological analysis. Logistic regression was used to model the odds of fatal poisoning by decedent and perpetrator characteristics. Qualitative content analysis was used to contextualize the patterns of fatal poisonings.

FINDINGS

1850 violent deaths were identified; 7% (n = 122) were poisoning-related, and 50% of these were attributed to opioids. Next, benzodiazepines (8%), amphetamines (7%), and antidepressants (5%) were most prevalent. Among poisoning-related deaths, 25% involved homicide-suicide. No differences in deaths were observed according to child race/ethnicity, and the risk of fatal poisoning decreased 6% with each year of child age. Following qualitative analysis, three unique categories of fatal poisoning emerged: "intentional administration without documented benign intent", "intentional administration with benign intent", and "unclear administration".

CONCLUSION

The high proportion of fatal poisonings in children attributed to opioids in this study suggests a need for universal dissemination and training of naloxone in households comprised of children living with parents experiencing, or in recovery for substance misuse. Findings also indicate a needed emphasis on safe storage practices and education to parents about the risk of prescription drug toxicity in children.

Endogenous opiates and behavior: 2019

This paper is the forty-second consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2019 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonists and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).

Exploring gender differences among treatment-seekers who use opioids versus alcohol and other drugs

Identifying clinical differences between opioid users (OU) and alcohol and other drug users (AOD) may help to tailor treatment to OU, particularly among the majority of OU who are not on opioid agonist treatments. Given the dearth of research on these differences, this study explored gender differences in demographic and clinical characteristics between OU and AOD. Participants (N = 506) were from a multisite, randomized controlled clinical trial of an Internet-delivered psychosocial intervention conducted in 2010-2011. Logistic regression models explored differences in demographic and clinical characteristics by substance use category within and between women and men. Women OU were more likely to be younger, White, employed, benzodiazepine users, and less likely to have children or use cocaine and cannabis than women AOD. Men OU, compared to men AOD, were more likely to be younger, White, younger at first abuse/dependence, benzodiazepine users, and reported greater psychological distress, but were less likely to be involved in criminal justice or use stimulants. Interactions by gender and substance use were also detected for age of first abuse/dependence, employment, and criminal justice involvement. These findings provide a nuanced understanding of gender differences within substance use groups to inform providers for OU seeking treatment.