Analysis of Oxycodone and Its Metabolites-Noroxycodone, Oxymorphone, and Noroxymorphone in Plasma by LC/MS with an Agilent ZORBAX Stablebond SB -C18 LC Column
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Individual Patient & Medication Factors That Invalidate Morphine
Individual Patient & Medication Factors that Invalidate Morphine Milligram Equivalents Presented on June 7-8, 2021 at FDA Collaborative with various Federal Government Agency Stakeholders Jeffrey Fudin, PharmD, FCCP, FASHP, FFSMB Clinical Pharmacy Specialist & PGY2 Pain Residency Director Stratton VAMC, Albany NY Adjunct Associate Professor Albany College of Pharmacy & Health Sciences, Albany NY Western New England University College of Pharmacy, Springfield MA President, Remitigate Therapeutics, Delmar NY Disclosures Affiliation Role/Activities Abbott Laboratories Speaking, non-speakers bureau AcelRx Pharmaceuticals Acute perioperative pain (speakers bureau, consulting, advisory boards) BioDelivery Sciences International Collaborative publications, consulting, advisory boards Firstox Laboratories Micro serum testing for substances of abuse (consulting) GlaxoSmithKline (GSK) Collaborative non-paid poster presentations) Hisamitsu America Inc Advisory Board Hikma Pharmaceuticals Advisory Board Scilex Pharmaceuticals Collaborative non-paid publications Salix Pharmaceuticals Speakers bureau, consultant, advisory boards Torrent Pharmaceuticals Lecture, non-speakers bureau Learning Objectives At the completion of this activity, participants will be able to: 1. Explain opioid conversion and calculation strategies when developing a care plan for patients with chronic pain. 2. Assess patient-specific factors that warrant adjustment to an opioid regimen. 3. Identify important drug interactions that can affect opioid serum levels. 4. Describe how pharmacogenetic differences can affect opioid efficacy, toxicity, and tolerability. Not All Opioids are Created Equally Issues with MEDD & Opioid Conversion1-4 › Pharmacogenetic variability › Drug interactions › Lack of universal morphine equivalence › Specific opioids that should never have an MEDD – Methadone, Buprenorphine, Tapentadol, Tramadol 1. Fudin J, Marcoux MD, Fudin JA. Mathematical Model For Methadone Conversion Examined. Practical Pain Management. Sept. 2012. 46-51. 2. Donner B, et al. -
Prescription Drug Management
Check out our new site: www.acllaboratories.com Prescription Drug Management Non Adherence, Drug Misuse, Increased Healthcare Costs Reports from the Centers for DiseasePrescription Control and Prevention (CDC) say Drug deaths from Managementmedication overdose have risen for 11 straight years. In 2008 more than 36,000 people died from drug overdoses, and most of these deaths were caused by prescription Nondrugs. Adherence,1 Drug Misuse, Increased Healthcare Costs The CDC analysis found that nearly 40,000 drug overdose deaths were reported in 2010. Prescribed medication accounted for almost 60 percent of the fatalities—far more than deaths from illegal street drugs. Abuse of painkillers like ReportsOxyContin from and the VicodinCenters forwere Disease linked Control to the and majority Prevention of the (CDC) deaths, say deaths from according to the report.1 medication overdose have risen for 11 straight years. In 2008 more than 36,000 people died from drug overdoses, and most of these deaths were caused by prescription drugs. 1 A health economics study analyzed managed care claims of more than 18 million patients, finding that patients undergoing opioid therapyThe CDCfor chronic analysis pain found who that may nearly not 40,000 be following drug overdose their prescription deaths were regimenreported in 2010. Prescribed medication accounted for almost 60 percent of the fatalities—far more than deaths have significantly higher overall healthcare costs. from illegal street drugs. Abuse of painkillers like OxyContin and Vicodin were linked to the majority of the deaths, according to the report.1 ACL offers drug management testing to provide information that can aid clinicians in therapy and monitoring to help improve patientA health outcomes. -
Recommended Methods for the Identification and Analysis of Fentanyl and Its Analogues in Biological Specimens
Recommended methods for the Identification and Analysis of Fentanyl and its Analogues in Biological Specimens MANUAL FOR USE BY NATIONAL DRUG ANALYSIS LABORATORIES Laboratory and Scientific Section UNITED NATIONS OFFICE ON DRUGS AND CRIME Vienna Recommended Methods for the Identification and Analysis of Fentanyl and its Analogues in Biological Specimens MANUAL FOR USE BY NATIONAL DRUG ANALYSIS LABORATORIES UNITED NATIONS Vienna, 2017 Note Operating and experimental conditions are reproduced from the original reference materials, including unpublished methods, validated and used in selected national laboratories as per the list of references. A number of alternative conditions and substitution of named commercial products may provide comparable results in many cases. However, any modification has to be validated before it is integrated into laboratory routines. ST/NAR/53 Original language: English © United Nations, November 2017. All rights reserved. The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. Mention of names of firms and commercial products does not imply the endorse- ment of the United Nations. This publication has not been formally edited. Publishing production: English, Publishing and Library Section, United Nations Office at Vienna. Acknowledgements The Laboratory and Scientific Section of the UNODC (LSS, headed by Dr. Justice Tettey) wishes to express its appreciation and thanks to Dr. Barry Logan, Center for Forensic Science Research and Education, at the Fredric Rieders Family Founda- tion and NMS Labs, United States; Amanda L.A. -
LC-MS for Pain Management Support
LC-MS for Pain Management Support Gwen McMillin, PhD, DABCC(CC,TC) University of Utah ARUP Laboratories Outline .Overview of drug testing, as a component of the therapeutic plan, in the management of chronic pain .A mini-SWOT analysis for application of LC- MS to pain management drug testing .Considerations for optimizing utility of LC-MS results Drug testing in pain management . Baseline testing, before initiating opioid therapy . Routine testing . Periodic, based on patient risk assessment . To evaluate changes . Therapeutic plan (drugs, formulations, dosing) . Clinical response (poor pain control, toxicity) . Clinical events (disease, surgery, pregnancy) . Patient behavior Objectives of drug testing Non- Detect and encourage Adherence appropriate drug use Detect and discourage Adherence inappropriate drug use Traditional approach . Immunoassay-based screen Screen . Confirm screen positive results with mass spectrometric method (GC-MS, LC-MS) Not appropriate for pain management Confirm + . Reflex testing leads to unnecessary expenses if the results are consistent with expectations, or if results are not used to make patient care decisions Confirm + . Confirmation of negative results may be more important than confirmation of positive results . Immunoassay-based screens may not be available Confirm + for specimens and drugs of interest Drugs monitored for pain management represent ~25% of “Top 200” prescriptions filled, 2011 .Analgesics .Anxiolytics, muscle . Hydrocodone (#1, 2, 14, 139) relaxants . Oxycodone (#45, 48, 121, 129, 196) -
169 2016 Interim Meeting Science and Public Health - 1
169 2016 Interim Meeting Science and Public Health - 1 REPORTS OF THE COUNCIL ON SCIENCE AND PUBLIC HEALTH The following reports, 1–4, were presented by S. Bobby Mukkamala, MD, Chair: 1. URINE DRUG TESTING Reference committee hearing: see report of Reference Committee K. HOUSE ACTION: RECOMMENDATIONS ADOPTED AS FOLLOWS REMAINDER OF REPORT FILED See Policies H-95.985 and D-120.936 INTRODUCTION Over the past two decades, the rate of opioid prescribing, especially for patients with chronic non-cancer pain, has increased dramatically. It is estimated that between 9.6 and 11.5 million Americans are currently being prescribed long-term opioid therapy.1 The overall increase in prescribing has been associated with a parallel increase in unintentional overdoses and deaths from prescription opioids.2 In 2014, a total of 47,055 drug overdose deaths occurred in the United States; 61% of these involved some type of opioid, including heroin. Overdose deaths from heroin have quadrupled in recent years, and the majority of past year users of heroin report they used opioids in a nonmedical fashion prior to heroin initiation; hence, the availability of pharmaceutical opioids is relevant to the national heroin use and overdose death epidemics. In the most recent available report, benzodiazepines were involved in 31% of the opioid-related overdoses.3 Despite clinical recommendations to the contrary, the rate of opioid and benzodiazepine co-prescribing also continues to rise.3-5 Identifying patients at risk for drug misuse is a challenge. There is no definitive way for physicians to predict which of their patients will develop misuse problems with controlled substances. -
(12) Patent Application Publication (10) Pub. No.: US 2004/0024006 A1 Simon (43) Pub
US 2004.0024006A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2004/0024006 A1 Simon (43) Pub. Date: Feb. 5, 2004 (54) OPIOID PHARMACEUTICAL May 30, 1997, now abandoned, and which is a COMPOSITIONS continuation-in-part of application No. 08/643,775, filed on May 6, 1996, now abandoned. (76) Inventor: David Lew Simon, Mansfield Center, CT (US) Publication Classification Correspondence Address: (51) Int. Cl. ................................................ A61K 31/485 David L. Simon (52) U.S. Cl. .............................................................. 514/282 P.O. Box 618 100 Cemetery Road (57) ABSTRACT Mansfield Center, CT 06250 (US) The invention is directed in part to dosage forms comprising a combination of an analgesically effective amount of an (21) Appl. No.: 10/628,089 opioid agonist analgesic and a neutral receptor binding agent or a partial mu-opioid agonist, the neutral receptor binding (22) Filed: Jul. 25, 2003 agent or partial mu-opioid agonist being included in a ratio Related U.S. Application Data to the opioid agonist analgesic to provide a combination product which is analgesically effective when the combina (63) Continuation-in-part of application No. 10/306,657, tion is administered as prescribed, but which is leSS analge filed on Nov. 27, 2002, which is a continuation-in-part Sically effective or less rewarding when administered in of application No. 09/922,873, filed on Aug. 6, 2001, excess of prescription. Preferably, the combination product now Pat. No. 6,569,866, which is a continuation-in affects an opioid dependent individual differently from an part of application No. 09/152,834, filed on Sep. -
Comprehensive Multi-Analytical Screening Of
COMPREHENSIVE MULTI-ANALYTICAL SCREENING OF DRUGS OF ABUSE, INCLUDING NEW PSYCHOACTIVE SUBSTANCES, IN URINE WITH BIOCHIP ARRAYS APPLIED TO THE EVIDENCE ANALYSER Darragh J., Keery L., Keenan R., Stevenson C., Norney G., Benchikh M.E., Rodríguez M.L., McConnell R. I., FitzGerald S.P. Randox Toxicology Ltd., Crumlin, United Kingdom e-mail: [email protected] Introduction Biochip array technology allows the simultaneous detection of multiple drugs from a single undivided sample, which This study summarises the analytical performance of three different biochip arrays applied to the screening of increases the screening capacity and the result output per sample. Polydrug consumption can be detected and by acetylfentanyl, AH-7921, amphetamine, barbiturates, benzodiazepines (including etizolam and clonazepam), incorporating new immunoassays on the biochip surface, this technology has the capacity to adapt to the new trends benzoylecgonine/cocaine, benzylpiperazines, buprenorphine, cannabinoids, carfentanil, dextromethorphan, fentanyl, in the drug market. furanylfentanyl, meprobamate, mescaline, methamphetamine, methadone, mitragynine, MT-45, naloxone, ocfentanyl, opioids, opiates, oxycodone, phencyclidine, phenylpiperazines, salvinorin, sufentanil, synthetic cannabinoids (JWH-018, UR-144, AB-PINACA, AB-CHMINACA), synthetic cathinones [mephedrone, methcathinone, alpha- pyrrolidinopentiophenone (alpha-PVP)], tramadol, tricyclic antidepressants, U-47700, W-19, zolpidem. Methodology Three different biochip arrays were used (DOA ULTRA, -
Presentation Slides (PDF)
Urine toxicology testing to support pain management and treatment for substance use disorder Yifei Yang, PhD, DABCC Medical Director, Toxicology, ARUP Laboratories Assistant Professor, University of Utah Learning Objectives and Presentation Outline • Describe the general analytical workflow of urine drug testing • Understand the testing approaches for medication compliance in pain management and treatment for substance use disorder (SUD) settings • Recognize the utilities and limitations of qualitative and quantitative test results • Discuss case-based unexpected urine drug testing results and considerations for results interpretation Urine toxicology testing to support controlled substance prescription and monitoring • Pain management and SUD treatment • Long-term prescription of controlled substances • Various opiates: hydrocodone, oxycodone, etc. at various doses • Buprenorphine, with naloxone (Suboxone) • Co-medication with benzodiazepines, heroin, and other opiates can increase risk for over-dose • Urine toxicology testing is recommended: • Baseline testing prior to prescription • Annual monitoring (minimal), interval up to clinician discretion • Detect undisclosed medication use • Confirm expected medication use CDC Guideline for Prescribing Opioids for Chronic Pain. (2016) Centers for Disease Control and Prevention. Urine toxicology testing is used to confirm the presence of prescribed medications • Drug presence prevalence: • High positivity rate • Patients are mostly taking medications • Appropriate positive cutoffs are needed -
Drug Plasma Half-Life and Urine Detection Window | January 2019
500 Chipeta Way | Salt Lake City, UT 84108-1221 Phone: (800) 522-2787 | Fax: (801) 583-2712 www.aruplab.com | www.arupconsult.com DRUG PLASMA HALF-LIFE AND URINE DETECTION WINDOW | JANUARY 2019 URINE- PLASMA DRUG, DRUG METABOLITE(S)* COMMON TRADE AND STREET NAMES, NOTES DETECTION HALF-LIFEt WINDOWt STIMULANTS Benzedrine, dexedrine, Adderall, Vyvanse, speed; could be methamphetamine Amphetamine 7–34 hours 1–5 days metabolite; if so, typically < 30 percent of parent Cocaine Coke, crack; parent drug rarely observed due to short half-life 0.7–1.5 hours < 1 day Benzoylecgonine Cocaine metabolite 5.5–7.5 hours 1–2 days Desoxyn, methedrine, Vicks inhaler (D- and L-isomers not resolved; low concentrations Methamphetamine expected if the source is Vicks); selegeline (Atapryl, Carbex, Eldepryl, Zelapar) 6–17 hours 1–5 days metabolite Methylenedioxyamphetamine (MDA) MDA 11–17 hours 1–3 days Methylenedioxyethylamphetamine (MDEA) MDEA, MDE, Eve 6–11 hours 1–3 days Methylenedioxymethamphetamine (MDMA) MDMA, XTC, ecstasy, Molly 6–10 hours 1–3 days Methylphenidate Ritalin, Concerta, Focalin, Metadate, Methylin 1.4–4.2 hours < 1 day Ritalinic acid Methylphenidate metabolite 1.8–2.5 hours < 1 day Phentermine Adipex-P, Lomaira, Qsymia 19–24 hours 1–5 days OPIOIDS Buprenorphine Belbuca, Buprenex, Butrans, Suboxone, Subutex, Sublocade, Zubsolv 26–42 hours 1–7 days Norbuprenorphine, Glucuronides Buprenorphine metabolites 15–150 hours 1–14 days Included in many preparations; morphine metabolite; may be a contaminant if < 2 Codeine 1.9–3.9 hours 1–3 days percent of morphine Fentanyl Actiq, Duragesic, Fentora, Lazanda, Sublimaze, Subsys, Ionsys 3–12 hours 1–3 days Norfentanyl Fentanyl metabolite 9–10 hours 1–3 days Heroin Diacetylmorphine, dope, smack, dust; parent drug not detected. -
Appendix-2Final.Pdf 663.7 KB
North West ‘Through the Gate Substance Misuse Services’ Drug Testing Project Appendix 2 – Analytical methodologies Overview Urine samples were analysed using three methodologies. The first methodology (General Screen) was designed to cover a wide range of analytes (drugs) and was used for all analytes other than the synthetic cannabinoid receptor agonists (SCRAs). The analyte coverage included a broad range of commonly prescribed drugs including over the counter medications, commonly misused drugs and metabolites of many of the compounds too. This approach provided a very powerful drug screening tool to investigate drug use/misuse before and whilst in prison. The second methodology (SCRA Screen) was specifically designed for SCRAs and targets only those compounds. This was a very sensitive methodology with a method capability of sub 100pg/ml for over 600 SCRAs and their metabolites. Both methodologies utilised full scan high resolution accurate mass LCMS technologies that allowed a non-targeted approach to data acquisition and the ability to retrospectively review data. The non-targeted approach to data acquisition effectively means that the analyte coverage of the data acquisition was unlimited. The only limiting factors were related to the chemical nature of the analyte being looked for. The analyte must extract in the sample preparation process; it must chromatograph and it must ionise under the conditions used by the mass spectrometer interface. The final limiting factor was presence in the data processing database. The subsequent study of negative MDT samples across the North West and London and the South East used a GCMS methodology for anabolic steroids in addition to the General and SCRA screens. -
NIDA Drug Supply Program Catalog, 25Th Edition
RESEARCH RESOURCES DRUG SUPPLY PROGRAM CATALOG 25TH EDITION MAY 2016 CHEMISTRY AND PHARMACEUTICS BRANCH DIVISION OF THERAPEUTICS AND MEDICAL CONSEQUENCES NATIONAL INSTITUTE ON DRUG ABUSE NATIONAL INSTITUTES OF HEALTH DEPARTMENT OF HEALTH AND HUMAN SERVICES 6001 EXECUTIVE BOULEVARD ROCKVILLE, MARYLAND 20852 160524 On the cover: CPK rendering of nalfurafine. TABLE OF CONTENTS A. Introduction ................................................................................................1 B. NIDA Drug Supply Program (DSP) Ordering Guidelines ..........................3 C. Drug Request Checklist .............................................................................8 D. Sample DEA Order Form 222 ....................................................................9 E. Supply & Analysis of Standard Solutions of Δ9-THC ..............................10 F. Alternate Sources for Peptides ...............................................................11 G. Instructions for Analytical Services .........................................................12 H. X-Ray Diffraction Analysis of Compounds .............................................13 I. Nicotine Research Cigarettes Drug Supply Program .............................16 J. Ordering Guidelines for Nicotine Research Cigarettes (NRCs)..............18 K. Ordering Guidelines for Marijuana and Marijuana Cigarettes ................21 L. Important Addresses, Telephone & Fax Numbers ..................................24 M. Available Drugs, Compounds, and Dosage Forms ..............................25 -
Prediction of Drug Interactions with Methadone, Buprenorphine and Oxycodone from in Vitro Inhibition of Metabolism
The author(s) shown below used Federal funds provided by the U.S. Department of Justice and prepared the following final report: Document Title: Prediction of Drug Interactions with Methadone, Buprenorphine and Oxycodone from In Vitro Inhibition of Metabolism Author(s): David E. Moody, Ph.D. Document No.: 250127 Date Received: July 2016 Award Number: 2011-DN-BX-K532 This report has not been published by the U.S. Department of Justice. To provide better customer service, NCJRS has made this federally funded grant report available electronically. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. February 2016 Research and Development in Forensic Toxicology Prediction of drug interactions with methadone, buprenorphine and oxycodone from in vitro inhibition of metabolism Final Technical Report Submitted electronically to: U.S. Department of Justice Office of Justice Programs National Institute of Justice Prepared by: David E. Moody. Ph.D. Director of the Center for Human Toxicology, and Research Professor of Pharmacology and Toxicology [email protected] / 801-581-5117 NIJ Award Number: 2011-DN-BX-K532 Reporting Period: January 1, 2012 to December 31, 2015 Recipient Organization: University of Utah 75 South 2000 East, Room 222 Salt Lake City, UT 84112-8930 Organizational DUNS: 0090953650000 EIN: 876000525 This document is a research report submitted to the U.S. Department of Justice. This report has not been published by the Department. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S.