How do medical and non-medical use of z-drugs relate to psychological distress and the use of other depressant drugs?

Z-Drug Use and Benzodiazepine Use and Misuse Among LGB Populations: The Role of Psychological Distress

BACKGROUND

Z-drugs (hypnotics such as zolpidem, zopiclone, and zaleplon) and benzodiazepines (BZDs) are sedative medications with misuse liability. The goals of this study are to report the (1) prevalence of past-year any Z-drug use, any BZD use, and any BZD misuse by sexual identity category and psychological distress; (2) associations among these 3 categories between sexual identity and past-year psychological distress; (3) associations among these 3 categories with sexual identity by past-year psychological distress status.

METHODS

Data were collected from the National Survey on Drug Use and Health (years 2015-2019 [n = 210,392]), a yearly representative national household survey of the American population. We report prevalences of any Z-drug use, any BZD use, and any BZD misuse by sexual identity and past-year psychological distress status. We ran logistic regressions with complex survey design with the 3 dichotomous variables described above as the dependent variables, stratified and not-stratified by psychological distress.

RESULTS

Prevalence of any Z-drug an BZD use and any BZD misuse were higher among LGB (lesbian/gay/bisexual) populations, especially gay men and bisexual women. Psychological distress was positively associated with any Z-drug and BZD use and any BZD misuse. Women were at higher risk of Z-drug (odds ratio [OR], 1.27; 95% confidence interval [CI], 1.18-1.37) and BZD use (OR, 1.64; 95% CI, 1.55-1.73), but lower risk of BZD misuse (OR, 0.82; 95% CI, 0.76-0.88). When stratifying by psychological distress, differences between LGB and heterosexuals were more pronounced among those without past-year psychological distress, especially gay men and bisexual women.

CONCLUSIONS

The presence of psychological distress attenuates the disparities between LGB and heterosexual individuals in Z-drug use and BZD use and misuse.

Comprehensive Monitoring of Psychoactive Substances in Psychiatric Patients Using Liquid Chromatography-High-Resolution Mass Spectrometry: A Key Tool for Treatment Planning and Understanding Consumption Patterns in Rome, Italy

BACKGROUND

The comprehensive monitoring of licit and illicit drug consumption plays a crucial role in understanding the complexities of patient conditions and designing effective treatment strategies. In this study, the prevalence of psychoactive prescription drugs, classical illicit drugs, and new psychoactive substances (NPS) were objectively assessed in individuals diagnosed with drug-related psychiatric disorders or episodes.

METHODS

Blood, urine, and hair samples were collected from psychiatric patients admitted to the Mental Health Department and Drug Addiction Service of the North Rome Local Health Authority with declared or suspected psychoactive drug use. Comprehensive drug screening was conducted for all samples using ultra-high-performance liquid chromatography-high-resolution mass spectrometry.

RESULTS

A total of 71 blood and urine and 50 hair samples were analyzed to confirm the suitability of the ultra-high-performance liquid chromatography-high-resolution mass spectrometry method for the study purposes. The main substances found in blood and urine were antipsychotics (71.8% and 66.2%) and benzodiazepines (62.0% and 59.2%), respectively, whereas cocaine (84.0%) and antipsychotics (74.0%) was more evident in hair. Z-drugs were detected in blood (7.0%), urine (5.6%), and hair (24%) samples; amphetamines were mainly detected in hair samples (14.0%). Synthetic cathinones were the most frequently detected NPS in hair specimens (8.0%), whereas synthetic cannabinoids were mainly found in blood samples (11.3%). These analyses showed that patients were polydrug users (77.5% detected in blood and urine, and 94.0% in hair).

CONCLUSIONS

Comprehensive screening enabled the assessment of past, recent, and actual consumption of psychoactive substances, including licit and illicit drugs and NPS, by psychiatric patients. A thorough understanding of substance consumption patterns can enhance therapeutic interventions and management of psychiatric disorders associated with psychoactive substance use.

New and Persistent Sedative-Hypnotic Use After Adjuvant Chemotherapy for Breast Cancer

BACKGROUND

Sedative-hypnotic medications are used to treat chemotherapy-related nausea, anxiety, and insomnia. However, prolonged sedative-hypnotic use can lead to dependence, misuse, and increased health-care use. We aimed to estimate the rates at which patients who receive adjuvant chemotherapy for breast cancer become new persistent users of sedative-hypnotic medications, specifically benzodiazepines and nonbenzodiazepine sedative-hypnotics (Z-drugs).

METHODS

Using the MarketScan health-care claims database, we identified sedative-hypnotic-naïve patients who received adjuvant chemotherapy for breast cancer. Patients who filled 1 and more prescriptions during chemotherapy and 2 and more prescriptions up to 1 year after chemotherapy were classified as new persistent users. Univariate and multivariable logistic regression analyses were used to estimate odds of new persistent use and associated characteristics.

RESULTS

We identified 22 039 benzodiazepine-naïve patients and 23 816 Z-drug-naïve patients who received adjuvant chemotherapy from 2008 to 2017. Among benzodiazepine-naïve patients, 6159 (27.9%) filled 1 and more benzodiazepine prescriptions during chemotherapy, and 963 of those (15.6%) went on to become new persistent users. Among Z-drug-naïve patients, 1769 (7.4%) filled 1 and more prescriptions during chemotherapy, and 483 (27.3%) became new persistent users. In both groups, shorter durations of chemotherapy and receipt of opioid prescriptions were associated with new persistent use. Medicaid insurance was associated with new persistent benzodiazepine use (odds ratio = 1.88, 95% confidence interval = 1.43 to 2.47) compared with commercial or Medicare insurance.

CONCLUSIONS

Patients who receive sedative-hypnotic medications during adjuvant chemotherapy for breast cancer are at risk of becoming new persistent users of these medications after chemotherapy. Providers should ensure appropriate sedative-hypnotic use through tapering dosages and encouraging nonpharmacologic strategies when appropriate.

Overdose deaths involving non-BZD hypnotic/sedatives in the USA: Trends analyses

Background

There is sparse knowledge on overdose deaths resulting from non-benzodiazepines and gabapentinoids usage. We examined overdose death rate across demographics categories and the overdose death trends over time.

Methods

Using data from the National Center for Health Statistics (USA), we identified 21,167 persons that died with an overdose ICD code as the underlying cause of death and had a T42.6/T42.7 ICD code, which include gabapentinoids and z-drugs, among their multiple causes of death. The overdose death rate was calculated per 100,000 persons for every year between 2000 and 2018. We used joinpoint regression analyses to assess trends over time.

Results

We identified a rise in the proportion of deaths with a T42.6/T42.7 ICD code between 2000 and 2006 (yearly change: +0.06) and between 2006 and 2015 (yearly change: +0.32). From 2000 to 2008, the proportion of deaths with any other T code rose significantly (yearly change: +3.56). Between 2008 and 2018, there was also a significant rise (yearly change: +1.31). From 2000 to 2015, the proportion of deaths with a T42.6/T42.7 ICD code with any other T code rose (yearly change: +2.58). From 2000 to 2015, the proportion of deaths with a T42.6/T42.7 ICD code with a concurrent benzodiazepine T code rose (yearly change: +1.98). From 2000 to 2005, the proportion of alcohol T codes rose non-significantly (yearly change: +0.35). Finally, the proportion of alcohol T codes fell significantly between 2008 and 2018 (yearly change: - 0.74).

Interpretation

Deaths due to non-benzodiazepine hypnotics and gabapentinoids increased significantly over the last two decades. Clinicians should not assume that replacing benzodiazepines and opioids with these medications necessarily lowers risk to the patient.

Funding

This study was funded by an internal grant from the Columbia University President's Global Innovation Fund (PI: Martins).

New and persistent controlled substance use among patients undergoing mastectomy and reconstructive surgery

PURPOSE

Prolonged use of controlled substances can place patients at increased risk of dependence and complications. Women who have mastectomy and reconstructive surgery (M + R) may be vulnerable to becoming new persistent users (NPUs) of opioid and sedative-hypnotic medications.

METHODS

Using the MarketScan health-care claims database, we identified opioid- and sedative-hypnotic-naïve women who had M + R from 2008 to 2017. Women who filled ≥ 1 peri-operative prescription and ≥ 2 post-operative prescriptions within one year after surgery were classified as NPUs. Univariate and multivariable logistic regression analyses were used to estimate rates of new persistent use and predictive factors. Risk summary scores were created based on the sum of associated factors.

RESULTS

We evaluated 23,025 opioid-naïve women and 25,046 sedative-hypnotic-naïve women. We found that 17,174 opioid-naïve women filled a peri-operative opioid prescription, and of those, 2962 (17.2%) became opioid NPUs post-operatively. Additionally, 9426 sedative-hypnotic-naïve women filled a peri-operative sedative-hypnotic prescription, and of those, 1612 (17.1%) became sedative-hypnotic NPUs. Development of new persistent sedative-hypnotic use was associated with age ≤ 49 [OR 1.77 (95% CI 1.40-2.24)] and age 50-64 [1.60 (1.27-2.03)] compared to age ≥ 65; Medicaid insurance [2.34 (1.40-3.90)]; southern residence [1.42 (1.22-1.64)]; breast cancer diagnosis [2.24 (1.28-3.91)]; and chemotherapy [2.17 (1.94-2.42)]. Risk of NPU increased with higher risk score. Women with ≥ 3 of these risk factors were three times more likely to become sedative-hypnotic NPUs than patients with 0 or 1 factors [2.94 (2.51-3.43)]. Comparable findings were seen regarding new persistent opioid use.

CONCLUSION

Women who have M + R are at risk of developing both new persistent opioid and new persistent sedative-hypnotic use. A patient's risk of becoming an NPU increases as their number of risk factors increases. Non-pharmacologic strategies are needed to manage pain and anxiety following cancer-related surgery.