Advanced urine toxicology testing

Clinical implications of opioid parent-metabolite ratios

BACKGROUND

The opioid epidemic has underscored the importance of urine drug testing in the management of chronic pain. However, interpreting test results can be challenging, especially in scenarios where medications may have been directly added to urine samples to simulate compliance.

METHODS

We conducted a retrospective analysis of 9,690 opioid testing results using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The study aimed to define the expected ratios between parent drugs and metabolites for eight commonly prescribed opioids. Cases with a parent-metabolite ratio above the 95th percentile were subjected to chart review.

RESULTS

A total of 13 cases appeared likely consistent with simulated compliance with buprenorphine, 2 with methadone, 14 with oxycodone, and one with hydrocodone. The unusual patterns of parent-metabolite ratio can also be associated with hyperacute drug exposures/use, pharmaceutical impurity, or underlying liver enzyme deficiency. Furthermore, patients who failed the decision limits could exhibit other illicit use or aberrant behaviors.

CONCLUSION

Laboratories conducting LC-MS/MS-based opioid testing can more objectively identify anomalies by analyzing parent-metabolite ratios. When in consultation with providers, laboratories can point to these data when suggesting the possibility of simulated compliance and help identify cases warranting further investigation.

Direct analysis in real time mass spectrometry (DART-MS/MS) for rapid urine opioid detection in a clinical setting

BACKGROUND AND AIMS

Current laboratory methods for opioid detection involve an initial screening with immunoassays which offers efficient but non-specific results and a subsequent liquid chromatography-tandem mass spectrometry (LC-MS/MS) confirmation which offers accurate results but requires extensive sample preparation and turnaround time. Direct Analysis in Real Time (DART) tandem mass spectrometry is evaluated as an alternative approach for accurate opioid detection with efficient sample preparation and turnaround time.

MATERIALS AND METHODS

DART-MS/MS was optimized by testing the method with varying temperatures, operation modes, extraction methods, hydrolysis times, and vortex times. The method was evaluated for 12 opioids by testing the analytical measurement range, percent carryover, precision studies, stability, and method-to-method comparison with LC-MS/MS.

RESULTS

DART-MS/MS shows high sensitivity and specificity for the detection of 6-acetylmorphine, codeine, hydromorphone, oxymorphone, hydrocodone, naloxone, buprenorphine, norfentanyl, and fentanyl in urine samples. However, its performance was suboptimal for norbuprenorphine, morphine and oxycodone.

CONCLUSION

In this proof-of-concept study, DART-MS/MS is evaluated for its rapid quantitative definitive testing of opioids drugs in urine. Further research is needed to expand its application to other areas of drug testing.

A Comparative Analysis of Two Commonly Used FDA-Approved Immunoassays for Fentanyl Detection

BACKGROUND

Given the opioid epidemic, fentanyl screening in urine has become increasingly important. Immunoassays remain the most common screening methodology due to the high throughput and ease of integration into automated chemistry systems. The fentanyl ARK II from Ark Diagnostics is a widely used immunoassay, while a novel fentanyl assay called FEN2 by Lin-Zhi has become available on the Roche platform. Here, we evaluate and compare their performance.

METHODS

Four hundred and thirty-four urine samples were analyzed for fentanyl across the Lin-Zhi FEN2 and ARK II assays on the Cobas c502 platform. Samples were analyzed immediately upon request for drug of abuse screening or frozen for subsequent analysis. For confirmation testing, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method with a limit of detection of 1 ng/mL for fentanyl/norfentanyl was used. Any sample with either fentanyl or norfentanyl above the LC-MS/MS cutoff was deemed positive.

RESULTS

The ARK II had 11 false negatives and 7 false positives, while the Lin-Zhi FEN2 had 12 false negatives and 2 false positives. This resulted in ARK II having a sensitivity and specificity of 90.4% and 97.8% respectively, while Lin-Zhi FEN2 had a sensitivity and specificity of 89.5% and 99.4%.

CONCLUSIONS

Both the ARK II and Lin-Zhi FEN2 immunoassays detected fentanyl well. Overall, the Lin-Zhi assay had slightly better specificity than ARK II, in our data set. While some discrepant results were observed between the 2 immunoassay systems, most occurred near the immunoassay detection cutoffs.

Using surface-enhanced Raman spectroscopy to probe artificial dye degradation on hair buried in multiple soils for up to eight weeks

The discovery of clandestine burials poses unique challenges for forensic specialists, requiring diverse expertise to analyze remains in various states. Bones, teeth, and hair often endure the test of time, with hair particularly exposed to the external environment. While existing studies focus on the degradation of virgin hair influenced by soil pH and decomposition fluids, the interaction between artificial dyes on hair and soil remains underexplored. This paper introduces a novel approach to forensic hair analysis that is based on high-throughput, nondestructive, and non-invasive surface-enhanced Raman spectroscopy (SERS) and machine learning. Using this approach, we investigated the reliability of the detection and identification of artificial dyes on hair buried in three distinct soil types for up to eight weeks. Our results demonstrated that SERS enabled the correct prediction of 97.9% of spectra for five out of the eight dyes used within the 8 weeks of exposure. We also investigated the extent to which SERS and machine learning can be used to predict the number of weeks since burial, as this information may provide valuable insights into post-mortem intervals. We found that SERS enabled highly accurate exposure intervals to soils for specific dyes. The study underscores the high achievability of SERS in extrapolating colorant information from dyed hairs buried in diverse soils, with the suggestion that further model refinement could enhance its reliability in forensic applications.

Toxicology Test Results for Public Health Surveillance of the Opioid Epidemic: Retrospective Analysis

Background

Addressing the opioid epidemic requires timely insights into population-level factors, such as trends in prevalence of legal and illegal substances, overdoses, and deaths.

Objective

This study aimed to examine whether toxicology test results of living individuals from a variety of sources could be useful in surveilling the opioid epidemic.

Methods

A retrospective analysis standardized, merged, and linked toxicology results from 24 laboratories in Marion County, Indiana, United States, from September 1, 2018, to August 31, 2019. The data set consisted of 33,787 Marion County residents and their 746,681 results. We related the data to general Marion County demographics and compared alerts generated by toxicology results to opioid overdose-related emergency department visits. Nineteen domain experts helped prototype analytical visualizations. Main outcome measures included test positivity in the county and by ZIP code; selected demographics of individuals with toxicology results; and correlation of toxicology results with opioid overdose-related emergency department visits.

Results

Four percent of Marion County residents had at least 1 toxicology result. Test positivity rates ranged from 3% to 19% across ZIP codes. Males were underrepresented in the data set. Age distribution resembled that of Marion County. Alerts for opioid toxicology results were not correlated with opioid overdose-related emergency department visits.

Conclusions

Analyzing toxicology results at scale was impeded by varying data formats, completeness, and representativeness; changes in data feeds; and patient matching difficulties. In this study, toxicology results did not predict spikes in opioid overdoses. Larger, more rigorous and well-controlled studies are needed to assess the utility of toxicology tests in predicting opioid overdose spikes.

Applicability of LC-QToF and Microscopical Tools in Combating the Sophisticated, Economically Motivated Adulteration of Poppy Seeds

Morphine and codeine are the two principal opiates found in the opium poppy (Papaver somniferum L.) and are therapeutically used for pain management. Poppy seeds with low opiates are primarily used for culinary purposes due to their nutritional and sensory attributes. Intentional adulteration of poppy seeds is common, often combined with immature, less expensive, exhausted, or substituted with morphologically similar seeds, viz., amaranth, quinoa, and sesame. For a safer food supply chain, preventive measures must be implemented to mitigate contamination or adulteration. Moreover, the simultaneous analysis of P. somniferum and its adulterants is largely unknown. Pre- and post-processing further complicate the alkaloid content and may pose a significant health hazard. To address these issues, two independent methods were investigated with eight botanically verified and fifteen commercial samples. Microscopical features were established for the authenticity of raw poppy seeds. Morphine, codeine, and thebaine quantities ranged from 0.8-223, 0.2-386, and 0.1-176 mg/kg, respectively, using LC-QToF. In most cases, conventional opiates have a higher content than papaverine and noscapine. The analytical methodology provided a chemical profile of 47 compounds that can be effectively applied to distinguish poppy seeds from their adulterants and may serve as an effective tool to combat ongoing adulteration.

Poppy Seed Consumption May Be Associated with Codeine-Only Urine Drug Test Results

Consumption of poppy seed-containing food products can result in opiate-positive urine drug test results and may pose challenges in distinguishing poppy seed consumption from opiate administration. In this context, guidance has suggested that codeine concentrations exceeding 300 ng/mL coupled with morphine-to-codeine ratios <2 are indicative of codeine consumption and, therefore, exclude poppy seed consumption as a legitimate explanation for the test result. In recent years, we performed independent medical examinations of three individuals who produced codeine-positive/morphine-negative (300 ng/mL) forensic urine drug test results but denied codeine administration, attributing their test results to the consumption of specific poppy seed-containing food products. In the present study, 11 participants consumed one of the 10 unique poppy seed-containing food products, including the three implicated food products. Six of 33 non-baseline urine samples (18%)-representing three food products-were positive for codeine and negative for morphine at 300 ng/mL cut-offs (and therefore featured morphine-to-codeine ratios <2). This study adds to a small literature indicating that consumption of poppy seed-containing food products cannot reliably be distinguished from codeine administration based on previously published urinary opiate concentrations and ratios. An important caveat is that in none of these cases did maximum urinary codeine concentrations exceed 1,300 µg/g creatinine.

Risk factors for relapse among methamphetamine users receiving a joint legal-medical treatment program as a diversion intervention: A one-year follow-up study

BACKGROUND

Methamphetamine (METH) is a Schedule II illicit drug in Taiwan. A 12-month legal-medical joint intervention program has been developed for first-time METH offenders during deferred prosecution. Risk factors associated with METH relapse use among these individuals were unknown.

METHODS

We enrolled a total of 449 METH offenders referred by the Taipei District Prosecutor's Office to Taipei City Psychiatric Center. The study defines relapse as having any positive urine toxicology result or self-report of METH use during 12-month treatment. We compared demographic and clinical variables between a relapse group and nonrelapse group and used a Cox proportional hazards model to determine variables associated with time to relapse.

RESULTS

Of all participants, 37.8 % relapsed to use METH and 23.2 % were noncompleters in the one-year follow-up. Compared to the nonrelapse group, the relapse group had lower educational attainment, more severe psychological symptoms, longer duration of METH use, higher odds of polysubstance use, higher craving severity, and higher odds of positive baseline urine. The Cox analysis revealed individuals with positive urine results and higher craving severity at baseline were at higher risks of METH relapse (hazard ratio [95 % CI]: 3.85 [2.61-5.68] and 1.71 [1.19-2.46], respectively, p < 0.001). Baseline positive urine results and high craving could also predict a shorter length of time to relapse than their respective counterparts.

CONCLUSIONS

Positive urine screening for METH at baseline and high craving severity are two indicators of an increased risk of drug relapse. Tailored treatment plans incorporating these findings to prevent relapse are warranted in our joint intervention program.

Simultaneous Quantification of Opioids in Blood and Urine by Gas Chromatography-Mass Spectrometer with Modified Dispersive Solid-Phase Extraction Technique

Common methodologies such as liquid-liquid extraction and solid-phase extraction are applied for the extraction of opioids from biological specimens i.e., blood and urine. Techniques including LC-MS/LC-MSMS, GC-MS, etc. are used for qualitative or quantitative determination of opioids. The goal of the present work is to design a green, economic, rugged, and simple extraction technique for famous opioids in human blood and urine and their simultaneous quantification by GC-MS equipped with an inert plus electron impact (EI) ionization source at SIM mode to produce reproducible and efficient results. Morphine, codeine, 6-acetylmorphine, nalbuphine, tramadol and dextromethorphan were selected as target opioids. Anhydrous Epsom salt was applied for dSPE of opioids from blood and urine into acetonitrile extraction solvent with the addition of sodium phosphate buffer (pH 6) and n-hexane was added to remove non-polar interfering species from samples. BSTFA was used as a derivatizing agent for GC-MS. Following method validation, the LOD/LLOQ and ULOQ were determined for morphine, codeine, nal-buphine, tramadol, and dextromethorphan at 10 ng/mL and 1500 ng/mL, respectively, while the LOD/LLOQ and ULOQ were determined for 6-acetylmorphine at 5 ng/mL and 150 ng/mL, respectively. This method was applied to real blood and urine samples of opioid abusers and the results were found to be reproducible with true quantification.

A High-Throughput Ion Mobility Spectrometry-Mass Spectrometry Screening Method for Opioid Profiling

In 2017, the United States Department of Health and Human Services declared the widespread misuse and abuse of prescription and illicit opioids an epidemic. However, this epidemic dates back to the 1990s when opioids were extensively prescribed for pain management. Currently, opioids are still recommended for pain management, and given their abuse potential, rapid screening is imperative for patient treatment. Of particular importance is assessing pain management patient compliance, where evaluating drug use is crucial for preventing opioid abuse and potential overdoses. In this work, we utilized drift tube ion mobility spectrometry coupled with mass spectrometry (DTIMS-MS) to develop a rapid screening method for 33 target opioids and opioid urinary metabolites. Collision cross section values were determined for all target molecules using a flow-injection DTIMS-MS method, and clear differentiation of 27 out of the 33 opioids without prior chromatographic separation was observed when utilizing a high resolution demultiplexing screening approach. An automated solid phase extraction (SPE) platform was then coupled to DTIMS-MS for 10 s sample-to-sample analyses. This SPE-IMS-MS approach enabled the rapid screening of urine samples for opioids and presents a major improvement in sample throughput compared to traditional chromatographic analyses coupled with MS, which routinely take several minutes per sample. Overall, this vast reduction in analysis time facilitates a faster turn-around for patient samples, providing great benefits to clinical applications.

Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study

BACKGROUND

Dialectical Behavior Therapy Skills Training (DBT-ST) as stand-alone treatment has demonstrated promising outcomes for the treatment of alcohol use disorder (AUD) and concurrent substance use disorders (SUDs). However, no studies have so far empirically investigated factors that might predict efficacy of this therapeutic model.

METHODS

275 treatment-seeking individuals with AUD and other SUDs were consecutively admitted to a 3-month DBT-ST program (in- + outpatient; outpatient settings). The machine learning routine applied (i.e. penalized regression combined with a nested cross-validation procedure) was conducted in order to estimate predictive values of a wide panel of clinical variables in a single statistical framework on drop-out and substance-use behaviors, dealing with related multicollinearity, and eliminating redundant variables.

RESULTS

The cross-validated elastic net model significantly predicted the drop-out. The bootstrap analysis revealed that subjects who showed substance-use behaviors during the intervention and who were treated with the mixed setting (i.e., in- and outpatient) program, together with higher ASI alcohol scores were associated with an higher probability of drop-out. On the contrary, older subjects, higher levels of education, together with higher scores of DERS awareness subscale were negatively associated to drop-out. Similarly, lifetime co-diagnoses of anxiety, bipolar, and gambling disorders, together with bulimia nervosa negatively predicted the drop-out. The machine learning model did not identify predictive variables of substance-use behaviors during the treatment.

CONCLUSIONS

The DBT-ST program could be considered a valid therapeutic approach especially when AUD and other SUDs co-occur with other psychiatric conditions and, it is carried out as a full outpatient intervention.

The use of lateral flow immunoassays for the detection of fentanyl in seized drug samples and postmortem urine

The opioid crisis has continued to progress in the United States and the rest of the world. As this crisis continues, there is a pressing need for a rapid and cost-effective method for detecting fentanyl. Recent studies have suggested that lateral flow immunoassays (LFIs) could fill this technology gap. These qualitative paper-based assays contain antibodies designed to react with fentanyl and provide positive or negative results within a matter of minutes. In this study, two different LFI configurations for the detection of fentanyl were examined (dipsticks and cassettes) for effectiveness of detection using seized drug samples and postmortem urine samples. In the current study, 44 seized drug samples (32 fentanyl-positive, 12 fentanyl-negative) and 14 postmortem urine samples (10 fentanyl-positive, 4 fentanyl-negative) were analyzed. All 32 fentanyl-containing seized drug samples and 10 postmortem fentanyl-positive urine samples displayed positive LFI results with both LFI configurations. The fentanyl dipsticks displayed a sensitivity of 100%, a specificity of 75%, and an efficiency of 93.2% for seized drug samples and a sensitivity, specificity, and efficiency of 100% for postmortem urine. Analysis of the fentanyl cassettes displayed a sensitivity, specificity, and efficiency of 100% for seized drug samples and a sensitivity of 100%, a specificity of 75%, and an efficiency of 92.9% for postmortem urine samples. These data point to the utility of LFIs as a quick and low resource-dependent option for presumptive detection of fentanyl in real-world situations.

Are point-of-care urine drug testing devices suitable for antenatal drug screening? A study verifying the Alere® Drug Screen Test Cup for the detection of six classes of drug in a pregnant population

BACKGROUND

Currently, there are no national guidelines for antenatal drug testing. At Colchester Hospital, we use a strategy of screen-only using point-of-care testing to detect illicit drug use in pregnancy. To determine the suitability of this approach, we have compared the results of urine analysis by point-of-care testing with another NHS specialist clinical toxicology service that uses confirmation mass spectrometry.

METHODS

A total of 482 anonymized random urine specimens from antenatal clinics were tested for six drug classes: amphetamine, benzodiazepines, buprenorphine, cocaine, methadone and opiates using the Alere™ Drug Screen Urine Test Cup. The manufacturer's claims for positive cut-off and result stability were verified using spiked blank urine. Confirmatory testing was performed using ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) for detection of 26 individual drugs.

RESULTS

Of 473 urine samples with adequate volume for point-of-care screening, 4.4% tested positive: 19 opiate and 2 cocaine. Concordance between point-of-care screening and UPLC-MS/MS confirmation was 97.9% for all drugs and 78.9% for opiates. Using spiked urine, only positive results for opiates were stable when read up to the manufacturer's recommended time of 60 min.

CONCLUSIONS

The key advantages of using point-of-care devices to detect drug use in pregnancy are that is convenient and cheap. However, the clinical utility of point-of-care testing is limited by its poor sensitivity. Best practice is to confirm results using a more specific and sensitive method. As a result of this study, we are now reviewing our own procedures to consider introducing routine confirmation by mass spectrometry.

Urine Drug Screens in the Emergency Department: The Best Test May Be No Test at All

The manuscript purpose is to provide a resource for clinicians on the functionality and pitfalls of the rapid urine drug screen for clinical decision making. Many providers remain under-informed about the inherent inaccuracies. The rapid urine drug screen is the first, and often only, step of drug testing. In the majority of emergency departments the urine drug screen is a collection of immunoassays reliant on an interaction between the structure of a particular drug or metabolite and an antibody. Drugs in separate pharmacologic classes often have enough structural similarity to cause false positives. Conversely, drugs within the same pharmacologic class often have different enough structures that they may result in inappropriate negatives. This lack of sensitivity and specificity significantly reduces the test utility, and may cause decision-making confusion. The timing of the drug screen relative to the drug exposure also limits accuracy, as does detection threshold. Confirmatory steps following the initial immunoassay include chromatography and/or mass spectrometry. These are unavailable at many institutions and results rarely return while the patient is in the emergency department. In addition, institutional capabilities vary, even with confirmatory testing. Confirmation accuracy depends on a number of factors, including the extent of the catalog of drugs/metabolites that the facility is calibrated to detect and report. In summary, the standard emergency department urine drug screen is a test with extremely limited clinical utility with multiple properties contributing to poor sensitivity, specificity, and accuracy. The test should be used rarely, if ever, for clinical decision making.

Assessing Patients' Risk for Opioid Use Disorder

Opioid use disorder and opioid misuse continue to increase rapidly in prevalence in North America. Nurses play a critical role in managing pain in patients who are at risk for opioid use disorder. The interplay of pain and opioid use disorder provides nurses with an opportunity to address urgent needs while treating patients across the continuum of care. This article reviews strategies for assessing risk for opioid use disorder while treating patients with pain. Implementing these approaches into daily nursing practice may improve patient care and help reduce the incidence of opioid use disorder.

The therapeutic role of emotion regulation and coping strategies during a stand-alone DBT Skills training program for alcohol use disorder and concurrent substance use disorders

Clinical trials on Dialectical Behavior Therapy Skills Training (DBT-ST) as a stand-alone intervention for alcohol use disorder (AUD) showed promising outcomes. Improvements in difficulties with emotion regulation (DER) played a mediating role on abstinence maintenance. However, the effect of DER, together with specific coping strategies, have not been considered yet in the treatment of clinical features associated to AUD and concurrent substance use disorders (CO-SUDs). The current study aims at investigating changes in the number of consecutive days of abstinence (CDA), severity of AUD and CO-SUDs (Shorter PROMIS Questionnaire; SPQ alcohol, prescription, illicit drugs subscale), DER (Difficulties in Emotion Regulation Scale; DERS) and coping strategies (DBT Way of Coping Checklist; DBT-WCCL) during a 3-month DBT-ST program for the treatment of AUD and CO-SUDs. Furthermore, four independent multiple parallel mediational models were estimated considering scores of CDA/SPQ, DERS and DBT-WCCL dimensions as dependent, independent and mediators variables respectively. One-hundred eight individuals with a primary diagnosis of AUD were consecutively admitted. The results showed significant and moderate to large improvements in CDA, severity of AUD, CO-SUDs and DER. The analyses detected significant improvements in the use of DBT Skills. The changes in DER predicted decreases in SPQ scores. The changes in DBT-WCCL scores were mediators of the previous relationships, considering SPQ alcohol and prescription drugs subscales. These findings support the implementation of DBT-ST as a stand-alone intervention for the treatment of AUD and CO-SUDs. DER together with coping strategies are relevant therapeutic mechanisms in the treatment of clinical features related to SUDs.

Guidelines for Monitoring Patients Using Opioid Therapy

Opioid-related morbidity and mortality have increased to epidemic proportions over the past 20 years. Gynecologists play an integral role in addressing this epidemic through management of patients with pain, specifically through prescribing and monitoring practices. Practical recommendations are provided for clinicians caring for noncancer patients on chronic opioid therapy. Recommendations are largely based on national consensus guidelines with a focus on frequency and content of follow-up, identification of high risk behaviors, and reassessment of goals of treatment.

Detection of heroin intake in patients in substitution treatment using oral fluid as specimen for drug testing

BACKGROUND

Detection of heroin use is among the major tasks for drug testing and can be best performed by using 6-acetylmorphine as the target analyte. This study was performed to document analytical findings in oral fluid after OF heroin intake.

METHODS

The samples were from routine drug testing of patients in substitution treatment. The analytical investigation was made with a forensic accredited liquid chromatography-tandem mass spectrometry method.

RESULTS

Out of 2814 samples, from 1875 patients, sent for routine drug testing, 406 contained one or more opiate in the drug screening when applying a cutoff limit of 1 ng/mL neat OF. Out of these 406, 314 had a measured 6-AM concentration in neat OF ≥ 1 ng/mL. The study demonstrated that 6-AM is a viable parameter in oral fluid drug testing with an about 80% sensitivity compared to using morphine and codeine as biomarkers. An additional value of using 6-AM is the confidence in concluding a heroin intake. The 6-AM concentrations varied between 1 and >1000 ng/mL, with a median value of 18.6 ng/mL. Heroin was measured in 35 samples with a median value of 0.72 ng/mL. The positive rate for opiates in urine and OF drug testing was the same, 13.5%, in similar populations of patients.

CONCLUSIONS

6-AM is a preferred parameter in OF drug testing for monitoring heroin use and makes OF drug testing for detecting heroin use more effective than urine drug testing when using highly sensitive mass spectrometry methods.

Rational Urine Drug Monitoring in Patients Receiving Opioids for Chronic Pain: Consensus Recommendations

Objective

To develop consensus recommendations on urine drug monitoring (UDM) in patients with chronic pain who are prescribed opioids.

Methods

An interdisciplinary group of clinicians with expertise in pain, substance use disorders, and primary care conducted virtual meetings to review relevant literature and existing guidelines and share their clinical experience in UDM before reaching consensus recommendations.

Results

Definitive (e.g., chromatography-based) testing is recommended as most clinically appropriate for UDM because of its accuracy; however, institutional or payer policies may require initial use of presumptive testing (i.e., immunoassay). The rational choice of substances to analyze for UDM involves considerations that are specific to each patient and related to illicit drug availability. Appropriate opioid risk stratification is based on patient history (especially psychiatric conditions or history of opioid or substance use disorder), prescription drug monitoring program data, results from validated risk assessment tools, and previous UDM. Urine drug monitoring is suggested to be performed at baseline for most patients prescribed opioids for chronic pain and at least annually for those at low risk, two or more times per year for those at moderate risk, and three or more times per year for those at high risk. Additional UDM should be performed as needed on the basis of clinical judgment.

Conclusions

Although evidence on the efficacy of UDM in preventing opioid use disorder, overdose, and diversion is limited, UDM is recommended by the panel as part of ongoing comprehensive risk monitoring in patients prescribed opioids for chronic pain.

A Difficult Challenge for the Clinical Laboratory: Accessing and Interpreting Manufacturer Cross-Reactivity Data for Immunoassays Used in Urine Drug Testing

Urine drug testing by immunoassay is widely used to detect nonmedical drug use and to monitor patients prescribed controlled substances. A key attribute of urine drug testing immunoassays is cross-reactivity, namely the response of various compounds compared to the target of the assay. In this report, we analyzed the variability in how manufacturer cross-reactivity data are summarized in package inserts for commercially available amphetamines, benzodiazepines, and opiates immunoassays, 3 broad drug classes commonly included in routine drug testing panels. Specifically, we determined the number of compounds tested for cross-reactivity, manner in which cross-reactivity is measured, concentration units used, how often compounds known to be cross-reactive with marketed urine drug testing immunoassays prior to 2010 were tested, availability of the package insert online, and how often cross-reactivity on "designer drugs" was found in the package inserts. There was wide variability in the number of compounds tested (both positive and negative), with the highest number of tested compounds generally found in point-of-care urine drug testing applications. Most package inserts used ng/mL as the concentration units and expressed cross-reactivity in terms of equivalent concentrations to the assay calibrator. Approximately 50% of package inserts were directly available online. Cross-reactivity data were sparse with respect to "off-target" drugs known to be cross-reactive prior to 2010 (an example being quinolone antibiotics and opiates immunoassays) and designer drugs. The present study indicates lack of consistency in cross-reactivity information in package inserts, complicating the interpretation of urine drug testing results. We use 3 example clinical cases to illustrate practical challenges accessing and interpreting cross-reactivity data.

The utility of universal urinary drug screening in chronic pain management

BACKGROUND

A recent systematic review found few studies that assessed the value of urinary drug screening (UDS) in the management of chronic pain. The Pain Management Unit in Halifax, Nova Scotia, has recently implemented tandem mass spectrometry (TMS) UDS for all new patients.

AIMS

To study the prevalence of unexpected TMS UDS results at a hospital-based chronic pain center, to assess which drugs are most likely to contribute to an unexpected result and to assess the clinical utilization of unexpected results by pain physicians.

METHODS

From June 2014 to June 2016, a total of 664 patients with chronic non-cancer pain (CNCP) were seen for initial consult. Charts were reviewed and used to create a database containing sex, age, UDS result, physician, and medication/illicit drug history. For all unexpected UDS results, an interview was conducted with the treating physician to determine its clinical implications.

RESULTS

For the general pain specialists, the overall percentage of patients with an unexpected UDS result was 16.67%. Excluding codeine, at most 4.47% of patients tested unexpectedly positive for a strong opioid. Although eight out of nine physicians found UDS helpful in general, only 29.58% of unexpected results were helpful in the management of their patients and directly influenced their care.

CONCLUSIONS

The prevalence of an unexpected UDS result in patients with CNCP is significant. Most physicians agree that UDS is helpful but in only a limited number of cases did the unexpected result provide helpful information that significantly influenced patient care.

Misuse of Novel Synthetic Opioids: A Deadly New Trend

Novel synthetic opioids (NSOs) include various analogs of fentanyl and newly emerging non-fentanyl compounds. Together with illicitly manufactured fentanyl (IMF), these drugs have caused a recent spike in overdose deaths, whereas deaths from prescription opioids have stabilized. NSOs are used as stand-alone products, as adulterants in heroin, or as constituents of counterfeit prescription medications. During 2015 alone, there were 9580 deaths from synthetic opioids other than methadone. Most of these fatalities were associated with IMF rather than diverted pharmaceutical fentanyl. In opioid overdose cases, where the presence of fentanyl analogs was examined, analogs were implicated in 17% of fatalities. Recent data from law enforcement sources show increasing confiscation of acetylfentanyl, butyrylfentanyl, and furanylfentanyl, in addition to non-fentanyl compounds such as U-47700. Since 2013, deaths from NSOs in the United States were 52 for acetylfentanyl, 40 for butyrylfentanyl, 128 for furanylfentanyl, and 46 for U-47700. All of these substances induce a classic opioid toxidrome, which can be reversed with the competitive antagonist naloxone. However, due to the putative high potency of NSOs and their growing prevalence, it is recommended to forgo the 0.4 mg initial dose of naloxone and start with 2 mg. Because NSOs offer enormous profit potential, and there is strong demand for their use, these drugs are being trafficked by organized crime. NSOs present major challenges for medical professionals, law enforcement agencies, and policymakers. Resources must be distributed equitably to enhance harm reduction though public education, medication-assisted therapies, and improved access to naloxone.

The role of screening, brief intervention, and referral to treatment in the perinatal period

Substance use during pregnancy is at least as common as many of the medical conditions screened for and managed during pregnancy. While harmful and costly, it is often ignored or managed poorly. Screening, brief intervention, and referral to treatment is an evidence-based approach to manage substance use. In September 2012, the US Centers for Disease Control and Prevention convened an Expert Meeting on Perinatal Illicit Drug Abuse to help address key issues around drug use in pregnancy in the United States. This article reflects the formal conclusions of the expert panel that discussed the use of screening, brief intervention, and referral to treatment during pregnancy. Screening for substance use during pregnancy should be universal. It allows stratification of women into zones of risk given their pattern of use. Low-risk women should receive brief advice, those classified as moderate risk should receive a brief intervention, whereas those who are high risk need referral to specialty care. A brief intervention is a patient-centered form of counseling using the principles of motivational interviewing. Screening, brief intervention, and referral to treatment has the potential to reduce the burden of substance use in pregnancy and should be integrated into prenatal care.

Use of a data warehouse at an academic medical center for clinical pathology quality improvement, education, and research

BACKGROUND

Pathology data contained within the electronic health record (EHR), and laboratory information system (LIS) of hospitals represents a potentially powerful resource to improve clinical care. However, existing reporting tools within commercial EHR and LIS software may not be able to efficiently and rapidly mine data for quality improvement and research applications.

MATERIALS AND METHODS

We present experience using a data warehouse produced collaboratively between an academic medical center and a private company. The data warehouse contains data from the EHR, LIS, admission/discharge/transfer system, and billing records and can be accessed using a self-service data access tool known as Starmaker. The Starmaker software allows users to use complex Boolean logic, include and exclude rules, unit conversion and reference scaling, and value aggregation using a straightforward visual interface. More complex queries can be achieved by users with experience with Structured Query Language. Queries can use biomedical ontologies such as Logical Observation Identifiers Names and Codes and Systematized Nomenclature of Medicine.

RESULT

We present examples of successful searches using Starmaker, falling mostly in the realm of microbiology and clinical chemistry/toxicology. The searches were ones that were either very difficult or basically infeasible using reporting tools within the EHR and LIS used in the medical center. One of the main strengths of Starmaker searches is rapid results, with typical searches covering 5 years taking only 1-2 min. A "Run Count" feature quickly outputs the number of cases meeting criteria, allowing for refinement of searches before downloading patient-identifiable data. The Starmaker tool is available to pathology residents and fellows, with some using this tool for quality improvement and scholarly projects.

CONCLUSION

A data warehouse has significant potential for improving utilization of clinical pathology testing. Software that can access data warehouse using a straightforward visual interface can be incorporated into pathology training programs.

Patterns of drug abuse among drug users with regular and irregular attendance for treatment as detected by comprehensive UHPLC-HR-TOF-MS

The most severe consequences of drug abuse include infectious diseases, overdoses, and drug-related deaths. As the range of toxicologically relevant compounds is continually changing due to the emergence of new psychoactive substances (NPS), laboratories are encountering analytical challenges. Current immunoassays are insufficient for determining the whole range of the drugs abused, and a broad-spectrum screening method is therefore needed. Here, the patterns of drug abuse in two groups of drug users were studied from urine samples using a comprehensive screening method based on high-resolution time-of-flight mass spectrometry. The two groups comprised drug abusers undergoing opioid maintenance treatment (OMT) or drug withdrawal therapy and routinely visiting a rehabilitation clinic, and drug abusers with irregular attendance at a harm reduction unit (HRU) and suspected of potential NPS abuse. Polydrug abuse was observed in both groups, but was more pronounced among the HRU subjects with a mean number of concurrent drugs per sample of 3.9, whereas among the regularly treated subjects the corresponding number was 2.1. NPS and pregabalin were more frequent among HRU subjects, and their abuse was always related to drug co-use. The most common drug combination for an HRU subject included amphetamine, cannabis, buprenorphine, benzodiazepine, and alpha-pyrrolidinovalerophenone. A typical set of drugs for treated subjects was buprenorphine, benzodiazepine, and occasionally amphetamine. Abuse of several concurrent drugs poses a higher risk of drug intoxication and a threat of premature termination of OMT. Since the subjects attending treatment used fewer concurrent drugs, this treatment could be valuable in reducing polydrug abuse.

What Can a Urine Drug Screening Immunoassay Really Tell Us?

Urine drug screening has become standard of care in many medical practice settings to assess compliance, detect misuse, and/or to provide basis for medical or legal action. The antibody-based enzymatic immunoassays used for qualitative analysis of urine have significant drawbacks that clinicians are often not aware of. Recent literature suggests that there is a lack of understanding of the shortcomings of these assays by clinicians who are ordering and/or interpreting them. This article addresses the state of each of the individual immunoassays that are most commonly used today in order to help the reader become proficient in the interpretation and application of the results. Some literature already exists regarding sources of "false positives" and "false negatives," but none seem to present the material with the practicing clinician in mind. This review aims to avoid overwhelming the reader with structures and analytical chemistry. The reader will be presented relevant clinical knowledge that will facilitate appropriate interpretation of immunoassays regardless of practice settings. Using this review as a learning tool and a reference, clinicians will be able to interpret the results of commonly used immunoassays in an evidence-based, informed manner and minimize the negative impact that misinterpretation has on patient care.

Comparison of Response of DRI Oxycodone Semiquantitative Immunoassay With True Oxycodone Values Determined by Liquid Chromatography Combined With Tandem Mass Spectrometry: Sensitivity of the DRI Assay at 100 ng/ml Cut-Off and Validity of Semiquantitative Value

OBJECTIVE

Oxycodone is a widely used opioid for pain management and patient's compliance with therapy is often monitored by using oxycodone immunoassay. The performance of the DRI oxycodone immunoassay was compared with liquid chromatography combined with tandem mass spectrometry (LC/MS/MS) assay.

MATERIALS AND METHODS

In 48 urine specimens collected from patients taking oxycodone, urinary oxycodone concentrations were determined using LC/MS/MS and the DRI oxycodone immunoassay for application on the Cobas c 501 analyzer (Roche Diagnostics, Indianapolis, IN).

RESULTS

Out of 48 specimens, 14 specimens showed oxycodone value less than 100 ng/ml, seven specimens had low positive values (between 101 and 165 ng/ml) and all other specimens had values 165 to 1789 ng/ml using the LC/MS/MS assay. The DRI oxycodone assay successfully identified all oxycodone specimens with oxycodone concentrations over the 100 ng/ml. In addition, the DRI assay also showed positive response in 11 out of 14 specimens with oxycodone values less than 100 ng/ml. However, semiquantitative values obtained by the DRI assay did not match with true oxycodone and metabolite oxymorphone concentrations combined obtained by using LC/MS/MS.

CONCLUSIONS

DRI oxycodone immunoassay at 100 ng/ml is a reliable immunoassay for analysis of oxycodone in urine.

Quantitative multiplexing with nano-self-assemblies in SERS

Multiplexed or simultaneous detection of multiple analytes is a valuable tool in many analytical applications. However, complications caused by the presence of interfering compounds in a sample form a major drawback in existing molecular sensor technologies, particularly in multi-analyte systems. Although separating analytes through extraction or chromatography can partially address the problem of interferents, there remains a need for developing direct observational tools capable of multiplexing that can be applied in situ. Surface-enhanced Raman Spectroscopy (SERS) is an optical molecular finger-printing technique that has the ability to resolve analytes from within mixtures. SERS has attracted much attention for its potential in multiplexed sensing but it has been limited in its quantitative abilities. Here, we report a facile supramolecular SERS-based method for quantitative multiplex analysis of small organic molecules in aqueous environments such as human urine.

Systematic evaluation of "compliance" to prescribed treatment medications and "abstinence" from psychoactive drug abuse in chemical dependence programs: data from the comprehensive analysis of reported drugs

This is the first quantitative analysis of data from urine drug tests for compliance to treatment medications and abstinence from drug abuse across “levels of care” in six eastern states of America. Comprehensive Analysis of Reported Drugs (CARD) data was used in this post-hoc retrospective observational study from 10,570 patients, filtered to include a total of 2,919 patients prescribed at least one treatment medication during 2010 and 2011. The first and last urine samples (5,838 specimens) were analyzed; compliance to treatment medications and abstinence from drugs of abuse supported treatment effectiveness for many. Compared to non-compliant patients, compliant patients were marginally less likely to abuse opioids, cannabinoids, and ethanol during treatment although more likely to abuse benzodiazepines. Almost 17% of the non-abstinent patients used benzodiazepines, 15% used opiates, and 10% used cocaine during treatment. Compliance was significantly higher in residential than in the non-residential treatment facilities. Independent of level of care, 67.2% of the patients (n = 1963; P<.001) had every treatment medication found in both first and last urine specimens (compliance). In addition, 39.2% of the patients (n = 1143; P<.001) had no substance of abuse detected in either the first or last urine samples (abstinence). Moreover, in 2010, 16.9% of the patients (n = 57) were abstinent at first but not at last urine (deteriorating abstinence), the percentage dropped to 13.3% (n = 174) in 2011; this improvement over years was statistically significant. A longitudinal analysis for abstinence and compliance was studied in a randomized subset from 2011, (n = 511) representing 17.5% of the total cohort. A statistically significant upward trend (p = 2.353×10⁻⁸) of abstinence rates as well as a similar but stronger trend for compliance ((p = 2.200×10⁻¹⁶) was found. Being cognizant of the trend toward drug urine testing being linked to medical necessity eliminating abusive screening, the interpretation of these valuable results require further intensive investigation.

Application of direct-infusion ESI–MS/MS for toxicological screening

Background: Direct-infusion ESI–MS/MS is a powerful approach for the identification of substances in complex mixtures. The aim of this work was to investigate its applicability to the toxicological screening of blood samples. A simple protein precipitation was used, followed by a 15 min infusion of the extract in the mass spectrometer. Results: The application of the procedure to commercial quality controls and authentic post-mortem blood samples demonstrated that the direct-infusion ESI–MS/MS approach enables the simultaneous identification of substances that require different chromatographic conditions. However, poor sensitivity was observed for benzodiazepine, amphetamines and opiate compounds. Conclusion: Considering the facile implementation and positive performance of direct-infusion ESI–MS/MS, this approach may to be a valuable complementary technique for systematic toxicological analysis procedures.

Using cheminformatics to predict cross reactivity of "designer drugs" to their currently available immunoassays

Background

A challenge for drug of abuse testing is presented by ‘designer drugs’, compounds typically discovered by modifications of existing clinical drug classes such as amphetamines and cannabinoids. Drug of abuse screening immunoassays directed at amphetamine or methamphetamine only detect a small subset of designer amphetamine-like drugs, and those immunoassays designed for tetrahydrocannabinol metabolites generally do not cross-react with synthetic cannabinoids lacking the classic cannabinoid chemical backbone. This suggests complexity in understanding how to detect and identify whether a patient has taken a molecule of one class or another, impacting clinical care.

Methods

Cross-reactivity data from immunoassays specifically targeting designer amphetamine-like and synthetic cannabinoid drugs was collected from multiple published sources, and virtual chemical libraries for molecular similarity analysis were built. The virtual library for synthetic cannabinoid analysis contained a total of 169 structures, while the virtual library for amphetamine-type stimulants contained 288 compounds. Two-dimensional (2D) similarity for each test compound was compared to the target molecule of the immunoassay undergoing analysis.

Results

2D similarity differentiated between cross-reactive and non-cross-reactive compounds for immunoassays targeting mephedrone/methcathinone, 3,4-methylenedioxypyrovalerone, benzylpiperazine, mephentermine, and synthetic cannabinoids.

Conclusions

In this study, we applied 2D molecular similarity analysis to the designer amphetamine-type stimulants and synthetic cannabinoids. Similarity calculations can be used to more efficiently decide which drugs and metabolites should be tested in cross-reactivity studies, as well as to design experiments and potentially predict antigens that would lead to immunoassays with cross reactivity for a broader array of designer drugs.

Chronic opioid therapy risk reduction initiative: impact on urine drug testing rates and results

BACKGROUND

In response to epidemic levels of prescription opioid overdose, abuse, and diversion, routine urine drug tests (UDTs) are recommended for patients receiving chronic opioid therapy (COT) for chronic pain. However, UDT ordering for COT patients is inconsistent in primary care, and little is known about how to increase UDT ordering or the impact of increased testing on rates of aberrant results.

OBJECTIVE

To compare rates and results of UDTs for COT patients before versus after implementation of an opioid risk reduction initiative in a large healthcare system.

DESIGN

Pre-post observational study.

PATIENTS

Group Health patients on COT October 2008-September 2009 (N = 4,821), October 2009-September 2010 (N = 5,081), and October 2010-September 2011 (N = 5,498).

INTERVENTION

Multi-faceted opioid risk reduction initiative.

MAIN MEASURES

Annual rates of UDTs and UDT results.

KEY RESULTS

Half of COT patients received at least one UDT in the year after the initiative was implemented, compared to only 7 % 2 years prior. The adjusted odds of COT patients having at least one UDT in the first year of the opioid initiative were almost 16 times (adjusted OR = 15.79; 95 % CI: 13.96-17.87) those 2 years prior. The annual rate of UDT detection of marijuana and illicit drugs did not change (12.6 % after initiative implementation), and largely reflected marijuana use (detected in 11.1 % of all UDTs in the year after initiative implementation). In the year after initiative implementation, 10.7 % of UDTs were negative for opioids.

CONCLUSIONS

The initiative appeared to dramatically increase urine drug testing of COT patients in the healthcare system without impacting rates of aberrant results. The large majority of aberrant results reflected marijuana use or absence of opioids in the urine. The utility of increased urine drug testing for COT patient safety and prevention of diversion remains uncertain.

Concordance between self-report and urine drug screen data in adolescent opioid dependent clinical trial participants

Objective measures of drug use are very important in treatment outcome studies of persons with substance use disorders, but obtaining and interpreting them can be challenging and not always practical. Thus, it is important to determine if, and when, drug-use self-reports are valid. To this end we explored the relationships between urine drug screen results and self-reported substance use among adolescents and young adults with opioid dependence participating in a clinical trial of buprenorphine-naloxone. In this study, 152 individuals seeking treatment for opioid dependence were randomized to a 2-week detoxification with buprenorphine-naloxone (DETOX) or 12weeks of buprenorphine-naloxone (BUP), each with weekly individual and group drug counseling. Urine drug screens and self-reported frequency of drug use were obtained weekly, and patients were paid $5 for completing weekly assessments. At weeks 4, 8, and 12, more extensive assessments were done, and participants were reimbursed $75. Self-report data were dichotomized (positive vs. negative), and for each major drug class we computed the kappa statistic and the sensitivity, specificity, positive predictive value, and negative predictive value of self-report using urine drug screens as the "gold standard". Generalized linear mixed models were used to explore the effect of treatment group assignment, compensation amounts, and participant characteristics on self-report. In general, findings supported the validity of self-reported drug use. However, those in the BUP group were more likely to under-report cocaine and opioid use. Therefore, if used alone, self-report would have magnified the treatment effect of the BUP condition.

They don't know what they don't know: internal medicine residents' knowledge and confidence in urine drug test interpretation for patients with chronic pain

BACKGROUND

Urine drug testing (UDT) can help identify misuse or diversion of opioid medications among patients with chronic pain. However, misinterpreting results can lead to false reassurance or erroneous conclusions about drug use.

OBJECTIVE

To examine the relationship between resident physicians' knowledge about UDT interpretation and confidence in their ability to interpret UDT results.

DESIGN

Cross-sectional survey.

PARTICIPANTS

Internal medicine residents in a university health system in the Bronx, from 2010 to 2011.

MAIN MEASURES

We assessed knowledge using a 7-item scale (UDT knowledge score), and confidence in UDT interpretation using a single statement ("I feel confident in my ability to interpret the results of urine drug tests"). We conducted chi-square tests, t-tests, and logistic regression to determine the association between knowledge and confidence, and in exploratory analyses to examine whether resident characteristics (gender, training level, and UDT use) moderated the relationship between knowledge and confidence.

KEY RESULTS

Among 99 residents, the mean UDT knowledge score was 3.0 out of 7 (SD 1.2). Although 55 (56 %) of residents felt confident in their ability to interpret UDT results, 40 (73 %) of confident residents had a knowledge score of 3 or lower. Knowledge score was not associated with confidence among the full sample or when stratified by training level or UDT use. The association between knowledge and confidence differed significantly by gender (interaction term p<0.01). Adjusting for training level and UDT use, knowledge was positively associated with confidence among females (AOR 1.79, 95 % CI: 1.06, 3.30), and negatively associated with confidence among males (AOR 0.47, 95 % CI: 0.23, 0.98).

CONCLUSIONS

Despite poor knowledge about UDT interpretation, most resident physicians felt confident in their ability to interpret UDT results. Gender differences warrant further exploration, but even confident physicians who use UDT should evaluate their proficiency in interpreting UDT results. Educational initiatives should emphasize the complexities of UDT interpretation.