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Forensic Science Review Jan 2017Currently, hair can be reliably tested for the presence of drugs. However, one major drawback to the use of parent drugs is the question of potential external or... (Review)
Review
Currently, hair can be reliably tested for the presence of drugs. However, one major drawback to the use of parent drugs is the question of potential external or environmental contamination. The analysis of metabolites to confirm the use of the parent drugs was proposed in this short review. The development of hair as a test matrix and the incorporation of xenobiotics, in general, into the hair matrix were discussed. What constitutes an appropriate metabolite for drug testing to mirror the use of a parent drug was proposed and discussed. The use of metabolites rather than parent drugs to indicate unequivocal use rather than external exposure was also discussed for amphetamines, cannabinoids, cocaine, opiates (codeine, morphine, 6-acetylmorphine, hydrocodone, hydromorphone, oxycodone, oxymorphone), phencyclidine, fentanyl, benzodiazepines, and ethanol. This, however, was discussed in terms of class and/or individual drug. In addition, selection or potential selection of appropriate metabolites was reviewed. The actual incorporation of drug metabolites into hair versus the metabolism of drugs which was incorporated into hair were also considered.
Topics: Hair; Humans; Illicit Drugs; Substance Abuse Detection
PubMed: 28119266
DOI: No ID Found -
Drug and Alcohol Dependence Jun 2022Prior research demonstrates a high prevalence of substance use, including opioid use, among those who have had personal or vicarious contact with the correctional...
BACKGROUND
Prior research demonstrates a high prevalence of substance use, including opioid use, among those who have had personal or vicarious contact with the correctional system. Relatedly, alongside patterns of rising opioid use in general, opioid use during pregnancy is becoming a growing public health concern. Still, risk factors for prescription opioid use during pregnancy remain understudied. This study is the first to assess the connection between a women's personal or vicarious exposure to incarceration in the 12 months prior to birth and patterns of prenatal opioid use.
METHODS
Data are from the Pregnancy Risk Assessment Monitoring System (PRAMS) in 2019 (N = 17,551 mothers). Logistic and multinomial logistic regression are used to assess the association between incarceration exposure and patterns of opioid use during pregnancy.
RESULTS
Incarceration-exposed women were more likely to use all eight types of prescription opioids assessed in this study (Hydrocodone, Codeine, Oxycodone, Tramadol, Hydromorphone/Meperidine, Oxymorphone, Morphine, and Fentanyl). After adjustment for control variables, incarceration-exposed women were significantly more likely to report any prescription opioid use during pregnancy (OR = 1.745, 95% CI = 1.194, 2.554). Furthermore, relative to no opioid use, incarceration exposure was also associated with illicit prescription opioid use (RRR = 2.979, 1.533, 5.791).
CONCLUSIONS
Incarceration exposure in the year prior to birth is associated with higher odds of prescription opioid use. These findings add to the burgeoning literature that details a women's exposure to incarceration is a risk marker for substance use and engagement in health risk behaviors that can jeopardize maternal and infant wellbeing.
Topics: Analgesics, Opioid; Female; Humans; Opioid-Related Disorders; Oxycodone; Pregnancy; Prescriptions; Tramadol
PubMed: 35405460
DOI: 10.1016/j.drugalcdep.2022.109434 -
Frontiers in Pharmacology 2023The United States (US) ranks high, nationally, in opioid consumption. The ongoing increase in the misuse and mortality amid the opioid epidemic has been contributing to...
The United States (US) ranks high, nationally, in opioid consumption. The ongoing increase in the misuse and mortality amid the opioid epidemic has been contributing to its rising cost. The worsening health and economic impact of opioid use disorder in the US warrants further attention. We, therefore, assessed commonly prescribed opioids to determine the opioids that were over-represented versus under-represented for adverse drug events (ADEs) to better understand their distribution patterns using the Food and Drug Administration's Adverse Event Reporting System (FAERS) while correcting for distribution using the Drug Enforcement Administration's Automation of Reports and Consolidated Orders System (ARCOS). Comparing the ratio of the percentage of adverse drug events as reported by the FAERS relative to the percentage of distribution as reported by the ARCOS database is a novel approach to evaluate post-marketing safety surveillance and may inform healthcare policies and providers to better regulate the use of these opioids. We analyzed the adverse events for 11 prescription opioids, when correcting for distribution, and their ratios for three periods, 2006-2010, 2011-2016, and 2017-2021, in the US. The opioids include buprenorphine, codeine, fentanyl, hydrocodone, hydromorphone, meperidine, methadone, morphine, oxycodone, oxymorphone, and tapentadol. Oral morphine milligram equivalents (MMEs) were calculated by conversions relative to morphine. The relative ADEs of the selected opioids, opioid distributions, and ADEs relative to distribution ratios were analyzed for the 11 opioids. Oxycodone, fentanyl, and morphine accounted for over half of the total number of ADEs ( = 667,969), while meperidine accounted for less than 1%. Opioid distributions were relatively constant over time, with methadone repeatedly accounting for the largest proportions. Many ADE-to-opioid distribution ratios increased over time, with meperidine (60.6), oxymorphone (11.1), tapentadol (10.3), and hydromorphone (7.9) being the most over-represented for ADEs in the most recent period. Methadone was under-represented (<0.20) in all the three periods. The use of the FAERS with the ARCOS provides insights into dynamic changes in ADEs of the selected opioids in the US. There is further need to monitor and address the ADEs of these drugs.
PubMed: 37033633
DOI: 10.3389/fphar.2023.1163976 -
JMIR Public Health and Surveillance Jun 2020Between 2016 and 2017, the national mortality rate involving opioids continued its escalation; opioid deaths rose from 42,249 to 47,600, bringing the public health...
BACKGROUND
Between 2016 and 2017, the national mortality rate involving opioids continued its escalation; opioid deaths rose from 42,249 to 47,600, bringing the public health crisis to a new height. Considering that 69% of adults in the United States use online social media sites, a resource that builds a more complete understanding of prescription drug misuse and abuse could supplement traditional surveillance instruments. The Food and Drug Administration has identified 5 key risks and consequences of opioid drugs-misuse, abuse, addiction, overdose, and death. Identifying posts that discuss these key risks could lead to novel information that is not typically captured by traditional surveillance systems.
OBJECTIVE
The goal of this study was to describe the trends of online posts (frequency over time) involving abuse, misuse, addiction, overdose, and death in the United States and to describe the types of websites that host these discussions. Internet posts that mentioned fentanyl, hydrocodone, oxycodone, or oxymorphone were examined.
METHODS
Posts that did not refer to personal experiences were removed, after which 3.1 million posts remained. A stratified sample of 61,000 was selected. Unstructured data were classified into 5 key risks by manually coding for key outcomes of misuse, abuse, addiction, overdose, and death. Sampling probabilities of the coded posts were used to estimate the total post volume for each key risk.
RESULTS
Addiction and misuse were the two most commonly discussed key risks for hydrocodone, oxycodone, and oxymorphone. For fentanyl, overdose and death were the most discussed key risks. Fentanyl had the highest estimated number of misuse-, overdose-, and death-related mentions (41,808, 42,659, and 94,169, respectively). Oxycodone had the highest estimated number of abuse- and addiction-related mentions (3548 and 12,679, respectively). The estimated volume of online posts for fentanyl increased by more than 10-fold in late 2017 and 2018. The odds of discussing fentanyl overdose (odds ratios [OR] 4.32, 95% CI 2.43-7.66) and death (OR 5.05, 95% CI 3.10-8.21) were higher for social media, while the odds of discussing fentanyl abuse (OR 0.10, 95% CI 0.04-0.22) and addiction (OR 0.24, 95% CI 0.15-0.38) were higher for blogs and forums.
CONCLUSIONS
Of the 5 FDA-defined key risks, fentanyl overdose and death has dominated discussion in recent years, while discussion of oxycodone, hydrocodone, and oxymorphone has decreased. As drug-related deaths continue to increase, an understanding of the motivations, circumstances, and consequences of drug abuse would assist in developing policy responses. Furthermore, content was notably different based on media origin, and studies that exclusively use either social media sites (such as Twitter) or blogs and forums could miss important content. This study sets out sustainable, ongoing methodology for surveilling internet postings regarding these drugs.
Topics: Adult; Analgesics, Opioid; Epidemiology; Female; Fentanyl; Humans; Hydrocodone; Male; Middle Aged; Odds Ratio; Opioid Epidemic; Oxycodone; Oxymorphone; Population Surveillance; Social Media; Substance-Related Disorders; United States
PubMed: 32597786
DOI: 10.2196/17073 -
Pain Physician May 2016Opioid overdose continues to be a significant and growing cause of preventable mortality and morbidity. Studies suggest that unintentional, non-fatal overdose from... (Review)
Review
BACKGROUND
Opioid overdose continues to be a significant and growing cause of preventable mortality and morbidity. Studies suggest that unintentional, non-fatal overdose from prescription opioid analgesics constitutes a large portion of total overdose events. The societal burden associated with these events is a frequently overlooked public health concern.
OBJECTIVES
To evaluate unintentional, non-fatal prescription opioid overdoses, including the identification of risk factors, societal burden, and knowledge gaps where further study is warranted.
STUDY DESIGN
Systematic review of the literature for unintentional, non-fatal opioid overdose.
METHODS
Preferred reporting items for systematic reviews and meta-analyses guidelines were used in constructing this systematic review. To determine the scope of the existing literature, a systematic search was conducted using the MEDLINE, CINAHL, PsycINFO, and Web of Science databases.
RESULTS
This systematic review analyzes 24 articles (21 retrospective descriptive analyses, 2 prospective analyses, one phase III trial, and one meta-analysis). Articles were reviewed by authors and relevant data examined. Results show that opioid overdose morbidity is significantly more prevalent than mortality and sequelae of non-fatal events should be studied in more detail.
LIMITATIONS
The limitations of this systematic review include the range of study populations and opioids discussed and the broad and variable definitions of "opioid overdose" in the literature.
CONCLUSIONS
Opioid overdose morbidity and mortality is seen across the entire spectrum of inpatient and outpatient use with significant numbers of adverse events occurring in population segments not identified by high risk indicators. Increased physician awareness and a multi-modal approach could help mitigate the overdose epidemic while maintaining effective pain control for patients.
KEY WORDS
Prescription, opioid, accidental drug overdose, unintentional overdose, drug poisoning, fentanyl, oxycodone, hydrocodone, methadone, oxymorphone, hydromorphone.
Topics: Analgesics, Opioid; Drug Overdose; Humans; Prescription Drug Overuse
PubMed: 27228510
DOI: No ID Found -
Clinical Pharmacokinetics Jul 2023Up to 90% of patients with castration-resistant prostate cancer (CRPC) will develop symptomatic bone metastases requiring pain medication, with opioids being the...
BACKGROUND AND OBJECTIVE
Up to 90% of patients with castration-resistant prostate cancer (CRPC) will develop symptomatic bone metastases requiring pain medication, with opioids being the mainstay of therapy in treating moderate and severe pain. Enzalutamide is an androgen receptor antagonist for the treatment of CRPC and a strong inducer of cytochrome P450 (CYP)3A4. Hereby, enzalutamide potentially reduces the exposure of oxycodone, an opioid metabolized by CYP3A4 and CYP2D6. Our objective was to evaluate the potential drug-drug interaction of enzalutamide and oxycodone.
METHODS
A prospective, nonrandomized, open-label, two-arm parallel study was performed. All patients received a single dose of 15 mg normal-release oxycodone. Patients in the enzalutamide arm (ENZ-arm) received enzalutamide 160 mg once daily. Plasma concentrations of oxycodone and its metabolites were quantified using a validated liquid chromatography with tandem mass spectrometry (LC-MS/MS) method.
RESULTS
Twenty-six patients (13 ENZ-arm; 13 control arm) were enrolled in the study. Enzalutamide decreased the mean AUC and C of oxycodone with, respectively, 44.7% (p < 0.001) and 35.5% (p = 0.004) compared with the control arm. The AUC and C of the active metabolite oxymorphone were 74.2% (p < 0.001) and 56.0% (p = 0.001) lower in the ENZ-arm compared with the control arm. In contrast, AUC and C of the inactive metabolites noroxycodone and noroxymorphone were significantly increased by enzalutamide.
CONCLUSION
Co-administration of enzalutamide significantly reduced exposure to oxycodone and its active metabolite oxymorphone in men with prostate cancer. This should be taken into account when prescribing enzalutamide combined with oxycodone.
Topics: Male; Humans; Oxycodone; Oxymorphone; Chromatography, Liquid; Prospective Studies; Prostatic Neoplasms, Castration-Resistant; Tandem Mass Spectrometry; Analgesics, Opioid; Pain
PubMed: 37162620
DOI: 10.1007/s40262-023-01255-1 -
Pain Physician Jan 2021Chronic low back pain (CLBP) incurs huge costs owing to increased healthcare expenditure, disability, insurance, and work absenteeism. Opioid analgesics are commonly... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Chronic low back pain (CLBP) incurs huge costs owing to increased healthcare expenditure, disability, insurance, and work absenteeism. Opioid analgesics are commonly used for the management of CLBP.
OBJECTIVE
To compare and rank the opioids used in the management of CLBP, in terms of efficacy and safety.
STUDY DESIGN
Systematic review and network meta-analyses (NMA).
METHOD
The search was conducted in Embase, PubMed, Cochrane databases for randomized controlled trials (RCTs) that had evaluated the efficacy and safety of opioids in CLBP. Two authors independently performed data extraction and quality assessment. The proportion of patients reporting either 30% or 50% reduction in pain from baseline to follow-up on the numeric rating scale, was measured as efficacy outcome. Pairwise meta-analyses and Bayesian NMA, within the random-effects model, were used to synthesize data. Effect estimates from Bayesian NMA were presented as odds ratio (OR) with 95% credible intervals (CrI). Heterogeneity and convergence were assessed by using I 2 and deviation information criteria.
RESULTS
Twenty-three RCTs with a total of 8,420 patients, evaluating 13 different opioids were included in this NMA. For 30% pain reduction, oxymorphone (OR: 5.36; 95% CrI: 1.02-30.3), tramadol with acetaminophen (OR: 2.37; 95% CrI: 1.08-5.17), and buprenorphine (OR: 2.29; 95% CrI: 1.05-5.07) shown statistically significant more effective than placebo. For 50% pain reduction, the statistically significant difference is observed with buprenorphine (OR: 2.38 95% CrI: 1.08-5.24), oxymorphone (OR: 5.10; 95% CrI: 1.31-20.41), and tramadol with acetaminophen (OR: 2.11; 95% CrI: 1.07-4.21). Hydrocodone (OR: 0.33; 95% CrI: 0.14-0.77) was found statistically safer compared to the other opioids.
LIMITATIONS
Only 5 trials had more than a 12-week study duration. We need clinical trials with longer follow-up as CLBP management requires a longer duration, and long-term prescribing of opioids associated with severe adverse event profile, development of tolerance, and dependence.
CONCLUSIONS
Oxymorphone has an advantage over other opioids to reduce pain by 30% and 50% in patients with CLBP.
Topics: Analgesics, Opioid; Bayes Theorem; Chronic Pain; Humans; Low Back Pain; Network Meta-Analysis
PubMed: 33400430
DOI: No ID Found -
British Journal of Clinical Pharmacology Apr 2021Prescription drug misuse in the USA increased during the 1990s to 2010. The epidemic stimulated the need new analytical strategies and techniques to understand the...
AIMS
Prescription drug misuse in the USA increased during the 1990s to 2010. The epidemic stimulated the need new analytical strategies and techniques to understand the medications involved, user characteristics and other factors needed to address the epidemic.
METHODS
A strategy of mosaic surveillance has evolved. Using real world evidence, the goal is to paint a more complete profile of a drug's real world misuse using triangulation-integrating results from multiple sources, where each approach has unrelated sources of bias.
RESULTS
Research findings have been remarkably consistent across multiple data sources. The most commonly misused opioid medications: hydrocodone = oxycodone > methadone = buprenorphine = tramadol = fentanyl (prescription form) > morphine > hydromorphone = oxymorphone > tapentadol. This rank order is similar to the number of prescriptions dispensed for each product in the USA. In the USA, prescription opioid misuse started to decrease about 2011. Typically, multiple drugs are misused together, particularly in lethal cases. Immediate release formulations are more commonly misused than extended release formulations. The introduction of tamper resistant formulations to resist crushing were followed by a decrease in misuse of those products.
CONCLUSIONS
The rapid expansion of opioid prescribing was accompanied by increasing misuse and mortality. Interventions such as prescription drug monitoring programmes, increased law enforcement and abuse deterrent formulations have been followed by decreases in misuse of most opioid analgesics.
Topics: Analgesics, Opioid; Humans; Opioid-Related Disorders; Oxycodone; Practice Patterns, Physicians'; Prescription Drug Misuse
PubMed: 33606888
DOI: 10.1111/bcp.14791 -
Water Research Oct 2021Understanding the in-sewer stability of analgesic biomarkers is important for interpreting wastewater-based epidemiology (WBE) data to estimate community-wide analgesic...
Understanding the in-sewer stability of analgesic biomarkers is important for interpreting wastewater-based epidemiology (WBE) data to estimate community-wide analgesic drugs consumption. The in-sewer stability of a suite of 19 analgesics and their metabolites was assessed using lab-scale sewer reactors. Target biomarkers were spiked into wastewater circulating in simulated gravity, rising main and control (no biofilm) sewer reactors. In-sewer transformation was observed over a hydraulic retention time of 12 h. All investigated biomarkers were stable under control reactor conditions. In gravity sewer conditions, diclofenac, desmetramadol, ibuprofen carboxylic acid, ketoprofen, lidocaine and tapentadol were highly stable (0-20% transformation in 12 h). Valdecoxib, parecoxib, etoricoxib, indomethacin, naltrexone, naloxone, piroxicam, ketoprofen, lidocaine, tapentadol, oxymorphone, hydrocodone, meperidine, hydromorphone were considered as moderately stable biomarkers (20-50% transformation in 12 h). Celecoxib and sulindac were considered unstable biomarkers (>50% transformation in 12 h). Ketoprofen, lidocaine, tapentadol, meperidine, hydromorphone were transformed to 0-20% whereas diclofenac, desmetramadol, ibuprofen carboxylic acid, valdecoxib, parecoxib, etoricoxib, indomethacin, naltrexone, piroxicam were transformed up to 20-50% in 12 h in rising main reactor (RMR). These biomarkers were considered as highly stable and stable biomarkers in RMR, respectively. Sulindac, celecoxib, naloxone, oxymorphone and hydrocodone were transformed more than 50% in 12 h and considered as unstable biomarkers in RMR. This study provides the information for a better understanding of the in-sewer loss of the analgesics before using them in WBE biomarkers for estimating drug loads at the population level.
Topics: Analgesics; Carboxylic Acids; Diclofenac; Ibuprofen; Ketoprofen
PubMed: 34536687
DOI: 10.1016/j.watres.2021.117647 -
Experimental Biology and Medicine... Nov 2023The opioid epidemic has become a serious national crisis in the United States. An indepth systematic analysis of opioid-related adverse events (AEs) can clarify the...
The opioid epidemic has become a serious national crisis in the United States. An indepth systematic analysis of opioid-related adverse events (AEs) can clarify the risks presented by opioid exposure, as well as the individual risk profiles of specific opioid drugs and the potential relationships among the opioids. In this study, 92 opioids were identified from the list of all Food and Drug Administration (FDA)-approved drugs, annotated by RxNorm and were classified into 13 opioid groups: buprenorphine, codeine, dihydrocodeine, fentanyl, hydrocodone, hydromorphone, meperidine, methadone, morphine, oxycodone, oxymorphone, tapentadol, and tramadol. A total of 14,970,399 AE reports were retrieved and downloaded from the FDA Adverse Events Reporting System (FAERS) from 2004, Quarter 1 to 2020, Quarter 3. After data processing, Empirical Bayes Geometric Mean (EBGM) was then applied which identified 3317 pairs of potential risk signals within the 13 opioid groups. Based on these potential safety signals, a comparative analysis was pursued to provide a global overview of opioid-related AEs for all 13 groups of FDA-approved prescription opioids. The top 10 most reported AEs for each opioid class were then presented. Both network analysis and hierarchical clustering analysis were conducted to further explore the relationship between opioids. Results from the network analysis revealed a close association among fentanyl, oxycodone, hydrocodone, and hydromorphone, which shared more than 22 AEs. In addition, much less commonly reported AEs were shared among dihydrocodeine, meperidine, oxymorphone, and tapentadol. On the contrary, the hierarchical clustering analysis further categorized the 13 opioid classes into two groups by comparing the full profiles of presence/absence of AEs. The results of network analysis and hierarchical clustering analysis were not only consistent and cross-validated each other but also provided a better and deeper understanding of the associations and relationships between the 13 opioid groups with respect to their adverse effect profiles.
Topics: Analgesics, Opioid; Bayes Theorem; Data Mining; Fentanyl; Hydrocodone; Hydromorphone; Meperidine; Oxycodone; Oxymorphone; Tapentadol; United States
PubMed: 38158803
DOI: 10.1177/15353702231211860