Development and Validation of a Novel All-Inclusive LC-MS-MS Designer Drug Method.

Designer drugs including synthetic cannabinoids and synthetic cathinones are an increasing problem due to the ease of access to these compounds. They present analytical challenges inasmuch as the compound structures are numerous and growing within each class. Typically each class of designer compounds is analyzed separately due to differences in chemistry, desired cut-offs or other reasons. Physicians treating "high-risk" patients typically order tests for all "illicit" substances which can span several test classes. Despite that multiple classes of designer drugs are ordered together, there has not been a comprehensive confirmatory test developed to date. Presented here is a novel comprehensive designer drug LC-MS-MS method that combines synthetic cannabinoids and synthetic cathinones, etizolam, a designer benzodiazepine and mitragynine (kratom), a natural product analgesic. This method improves laboratory throughput with a cycle time of ~4.5 min which affords resolution of crucial isomers, such as ethylone and butylone. Development of this method also provided an opportunity to update the list of compounds within the method. Analytes with fewer than five positive specimens in a year of testing with previous separate methods were removed as old and not current. New analytes were added based on reports from NMS Laboratories and the US Drug Enforcement Administration testing and drug seizures, which included etizolam, its major metabolite α-hydroxyetizolam as well as newer synthetic cannabinoids (5-fluoro ADB metabolite 7, AB-FUBINACA metabolite 3, AB-FUBINACA metabolite 4 and MDMB-FUBINACA metabolite M1) and synthetic cathinones (N-ethyl pentylone). Finally, the impact of the new analytes and cut-off changes are discussed in context with patient results from the first 4 months of testing after implementation of the method in the lab.

Analytical Considerations When Developing an LC-MS/MS Method for More than 30 Analytes.

BACKGROUND: While validation of analytical (LC-MS/MS) methods has been documented in any number of articles and reference texts, the optimal design and subsequent validation of a method for over 30 analytes presents special challenges. Conventional approaches to calibration curves, controls, and run time are not tenable in such methods. This report details the practical aspects of designing and implementing such a method in accordance with College of American Pathologists validation criteria. METHODS: Conventional criteria were followed in the design and validation of a method for 34 analytes and 15 internal standards by LC-MS/MS. These criteria are laid out in a standard operating procedure, which is followed without exception and is consistent with College of American Pathologists criteria. RESULTS: The method presented herein provides quality results and accurate medication monitoring. The method was optimized to negate interferences (both from within the method and from potential concomitant compounds), increase throughput, and provide reproducible quality quantification over relevant analyte concentrations ranges. CONCLUSIONS: The method was designed primarily with quality and accurate medication monitoring in mind. The method achieves these goals by use of novel approaches to calibration curves and controls that both improve performance and minimize risk (financial and operational). As automation and LC-MS/MS equipment continue to improve, it is expected that more methods like this one will be developed.

Patterns of Marijuana Use in a 6-Month Pain Management Sample in the United States.

This study is a 6-month retrospective analysis of urine drug testing (UDT) data from a pain management population among specimens with clinician-ordered marijuana testing (N = 194 809). Descriptive statistics about the specimen positivity of clinician-ordered marijuana UDT are provided as well as other drug positivity. Specimens from men and adults aged 18 to 34 years had the highest prevalence rates of marijuana positivity. The prevalence of past-month marijuana use among a comparative national population was lower than the prevalence of positive marijuana tests in the UDT specimens by all characteristics. Among the specimens tested for illicit drugs and marijuana, 4.0% were positive for amphetamine, 2.8% were positive for cocaine, and 0.9% were positive for heroin. The most common prescription drugs listed were opioids (64.7%), benzodiazepines (20.5%), and antidepressants (19.9%). In sum, the findings reflect previous research showing high rates of marijuana use, illicit drug use, and prescription drug use in a pain management population.

Quetiapine Carboxylic Acid and Quetiapine Sulfoxide Prevalence in Patient Urine.

Treatment adherence is often an issue with mental health patients. For those prescribed quetiapine (Seroquel®), the low levels of parent drug and plasma metabolite(s) (e.g., 7-hydroxyquetiapine) typically used in urine drug monitoring can result in false negatives with concomitant unfavorable impacts on patient care. Literature review coupled with liquid chromatography/time-of-flight mass spectrometry analysis of patient positive urine samples indicated the presence of quetiapine carboxylic acid and quetiapine sulfoxide as significant urinary metabolites of quetiapine. Analysis of these two metabolites determined that they are abundant in the urine of quetiapine patients and can result in apparent adherence rates that are improved relative to those determined using only quetiapine and 7-hydroxyquetiapine. For example, analysis of a random set of 114 patients who were prescribed quetiapine exhibited an apparent adherence rate of 47% using the quetiapine carboxylic acid and quetiapine sulfoxide metabolites. Traditional metabolite testing with quetiapine and 7-hydroxyquetiapine yielded apparent adherence rates of ~31% while all four analytes resulted in apparent adherence of 48%. The prevalence of these metabolites suggests that quetiapine urine drug testing would be more consistent with prescriptions when they are included in the analysis.

Normalizing Oral Fluid Hydrocodone Data Using Calculated Blood Volume.

Oral fluid testing to assist in the assessment of treatment adherence for chronic pain patients is attractive for a number of reasons. However, efforts focused on interpreting patient results have been modest when compared to urine drug testing. This work details a retrospective approach developed to transform and normalize oral fluid testing results to provide a historical picture of patient values in this important test fluid. Using this approach, a model was developed using data from 6,800 independent patients who were both prescribed hydrocodone and tested positive (with limitations: reporting cutoff < X < upper limit of quantitation) by liquid chromatography-mass spectrometry. Patient demographic data were used to calculate the relevant parameters (e.g., calculated blood volume (CBV)) used in the transformation and normalization of the oral fluid data. The crucial normalizing factor in oral fluids was found to be the CBV which parallels the use of creatinine to normalize drug concentration levels in urine and is consistent with the view that oral fluid samples reflect plasma concentrations of the respective drugs. The resulting near Gaussian distribution is dose independent and as such should be of value to physicians in quickly assessing whether their patient is consistent with this historical population in the broad terms of this model. While this comparison alone is not definitive for adherence with a treatment regimen, together with patient interviews, prescription history and other clinical criteria, it can add an idea of expected patient values from oral fluid testing.

Fentanyl-Norfentanyl Concentrations During Transdermal Patch Application: LC-MS-MS Urine Analysis.

Poklis and Backer published a survey of the concentrations of fentanyl and norfentanyl that could be expected in urine from patients using Duragesic®, a transdermal fentanyl patch. That study employed a relatively small number of patient data points and analysis by Gas Chromatography/Mass Spectrometry. This work examines a larger population of patient positives for fentanyl and norfentanyl to determine whether more than a decade later the original report remains accurate in predicting the range and median levels of fentanyl and norfentanyl concentrations physicians can expect to see from their patients. Additionally, these data were transformed to develop a model that results in a near Gaussian distribution of urine drug test results. This retrospective approach was developed to transform and normalize urine drug testing results to provide a historical picture of expected patient values for this important analgesic. The resulting near Gaussian distribution is dose independent and as such should be of value to physicians in quickly assessing whether their patient is consistent with this historical population in the broad terms of this model. While this comparison alone is not definitive for adherence with a treatment regimen, together with patient interviews, prescription history and other clinical criteria, it can add an idea of expected patient values from urine drug testing.

Improved Chiral Separation of Methamphetamine Enantiomers Using CSP-LC-MS-MS.

To determine the true enantiomeric composition of methamphetamine urine drug testing results, chiral separation of dextro (D) and levo (L) enantiomers is necessary. While enantiomeric separation of methamphetamine has traditionally been accomplished using gas chromatography-mass spectrometry (GC-MS), chiral separation of D- and L-methamphetamine by chiral stationary phase (CSP) liquid chromatography-mass spectrometry/mass spectrometry (LC-MS-MS) has proved more reliable. Chirally selective detection of methamphetamine by GC-MS is often performed using L-N-trifluoroacetyl-prolyl chloride (TPC). L-TPC, a chiral compound, is known to have impurities that can affect the chiral composition percentages of the methamphetamine sample, potentially leading to inaccurate patient results. The comparative analysis of the samples run by GC and LC methods showed preferential bias of the GC method for producing error rates, consistent with previous research, of 8-19%. The CSP-LC-MS-MS method produces percent deviation errors of <2%. Additionally, the GC method failed to produce results that were 100% D- or L-isomer even for enantiomerically pure standards. A higher rate of D- and L-methamphetamine isomer racemization is seen in samples when analyzed by GC-MS using L-TPC-derivatizing agent. This racemization is not seen when these samples are tested with CSP-LC-MS-MS. Thus, a more accurate method of enantiomeric analysis is provided by CSP-LC-MS-MS.

A Dilute-and-Shoot LC-MS Method for Quantitating Opioids in Oral Fluid.

Opioid testing represents a dominant share of the market in pain management clinical testing facilities. Testing of this drug class in oral fluid (OF) has begun to rise in popularity. OF analysis has traditionally required extensive clean-up protocols and sample concentration, which can be avoided. This work highlights the use of a fast, 'dilute-and-shoot' method that performs no considerable sample manipulation. A quantitative method for the determination of eight common opioids and associated metabolites (codeine, morphine, hydrocodone, hydromorphone, norhydrocodone, oxycodone, noroxycodone and oxymorphone) in OF is described herein. OF sample is diluted 10-fold in methanol/water and then analyzed using an Agilent chromatographic stack coupled with an AB SCIEX 4500. The method has a 2.2-min LC gradient and a cycle time of 2.9 min. In contrast to most published methods of this particular type, this method uses no sample clean-up or concentration and has a considerably faster LC gradient, making it ideal for very high-throughput laboratories. Importantly, the method requires only 100 µL of sample and is diluted 10-fold prior to injection to help with instrument viability. Baseline separation of all isobaric opioids listed above was achieved on a phenyl-hexyl column. The validated calibration range for this method is 2.5-1,000 ng/mL. This 'dilute-and-shoot' method removes the unnecessary, costly and time-consuming extraction steps found in traditional methods and still surpasses all analytical requirements.

Rapid enzymatic hydrolysis using a novel recombinant ß-glucuronidase in benzodiazepine urinalysis.

Only trace amounts of parent benzodiazepines are present in urine following extensive metabolism and conjugation. Thus, hydrolysis of glucuronides is necessary for improved detection. Enzyme hydrolysis is preferred to retain identification specificity, but can be costly and time-consuming. The assessment of a novel recombinant ß-glucuronidase for rapid hydrolysis in benzodiazepine urinalysis is presented. Glucuronide controls for oxazepam, lorazepam and temazepam were treated with IMCSzyme™ recombinant ß-glucuronidase. Hydrolysis efficiency was assessed at 55°C and at room temperature (RT) using the recommended optimum pH. Hydrolysis efficiency for four other benzodiazepines was evaluated solely with positive patient samples. Maximum hydrolysis of glucuronide controls at 5 min at RT (mean analyte recovery ≥ 94% for oxazepam and lorazepam and ≥ 80% for temazepam) was observed. This was considerably faster than the optimized 30 min incubation time for the abalone ß-glucuronidase at 65°C. Mean analyte recovery increased at longer incubation times at 55°C for temazepam only. Total analyte in patient samples compared well to targets from abalone hydrolysis after recombinant ß-glucuronidase hydrolysis at RT with no incubation. Some matrix effect, differential reactivity, conjugation variability and transformation impacting total analyte recovery were indicated. The unique potential of the IMCSzyme™ recombinant ß-glucuronidase was demonstrated with fast benzodiazepine hydrolysis at RT leading to decreased processing time without the need for heat activation.

Disposition of docosahexaenoic acid-paclitaxel, a novel taxane, in blood: in vitro and clinical pharmacokinetic studies.

PURPOSE: Docosahexaenoic acid-paclitaxel is as an inert prodrug composed of the natural fatty acid DHA covalently linked to the C2'-position of paclitaxel (M. O. Bradley et al., Clin. Cancer Res., 7: 3229-3238, 2001). Here, we examined the role of protein binding as a determinant of the pharmacokinetic behavior of DHA-paclitaxel. EXPERIMENTAL DESIGN: The blood distribution of DHA-paclitaxel was studied in vitro using equilibrium dialysis and in 23 cancer patients receiving the drug as a 2-h i.v. infusion (dose, 200-1100 mg/m(2)). RESULTS: In vitro, DHA-paclitaxel was found to bind extensively to human plasma (99.6 +/- 0.057%). The binding was concentration independent (P = 0.63), indicating a nonspecific, nonsaturable process. The fraction of unbound paclitaxel increased from 0.052 +/- 0.0018 to 0.055 +/- 0.0036 (relative increase, 6.25%; P = 0.011) with an increase in DHA-paclitaxel concentration (0-1000 microg/ml), suggesting weakly competitive drug displacement from protein-binding sites. The mean (+/- SD) area under the curve of unbound paclitaxel increased nonlinearly with dose from 0.089 +/- 0.029 microg.h/ml (at 660 mg/m(2)) to 0.624 +/- 0.216 microg.h/ml (at 1100 mg/m(2)), and was associated with the dose-limiting neutropenia in a maximum-effect model (R(2) = 0.624). A comparative analysis indicates that exposure to Cremophor EL and unbound paclitaxel after DHA-paclitaxel (at 1100 mg/m(2)) is similar to that achieved with paclitaxel on clinically relevant dose schedules. CONCLUSIONS: Extensive binding to plasma proteins may explain, in part, the unique pharmacokinetic profile of DHA-paclitaxel described previously with a small volume of distribution ( approximately 4 liters) and slow systemic clearance ( approximately 0.11 liters/h).