National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

Similar documents
National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot

National Drug Early Warning System (NDEWS) Los Angeles County Sentinel Community Site Appendix Data Tables, 2015

National Drug Early Warning System (NDEWS) Sentinel Community Site Profile 2015: King County (Seattle Area)

Denver Metro Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2017

National Drug Early Warning System (NDEWS) Texas Sentinel Community Site Appendix Data Tables, 2015 NDEWS Coordinating Center

Los Angeles County Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2017

Philadelphia Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2017

Wayne County (Detroit Area) Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2017

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Data Tables

Southeastern Florida (Miami Area) Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2017

San Francisco Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2017

Chicago Metro Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2017

National Drug Early Warning System (NDEWS) Sentinel Community Site Profile 2015: New York City

Texas Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2017

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCE Narrative

Minneapolis/St. Paul, Minnesota Drug Abuse Trends: January 2014 Update

Figure 1. National Drug Overdose Deaths Number Among All Ages, by Gender,

Identification of Specific Drugs and Drug Diversion in Drug Overdose Fatalities

Los Angeles County Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2018

Primer on Synthetic Opioids I/S Brian Dempsey

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCE Narrative

Community Epidemiology Report November 2014

Drug Trends &Trafficking I/S Brian Dempsey

The South Florida Report June 2013

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Data Tables

National Institute on Drug Abuse

NDEWS Sentinel Community Site Advance Report 2016: Selected Findings for Heroin, Fentanyl, and Methamphetamine

Illicit Opioid and Methamphetamine Trends in Maine

King County (Seattle Area) Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2018

Drug Abuse Trends Minneapolis/St. Paul, Minnesota

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCE Narrative

Florida Drug Trends 2017

Methamphetamine Use in Texas February 28, 2018 Page 1. Texas Substance Use Disorder Landscape Supplement: Methamphetamine Use

Drug Abuse Trends Minneapolis/St. Paul, Minnesota

Injection Drug Use in the United States

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCE Narrative

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCE Narrative

National Drug Early Warning System (NDEWS,

[ ASSESSING THE BURDEN OF ILLICIT DRUGS AND ALCOHOL ABUSE:] Macomb County Office of Substance Abuse. A Focus on Heroin and Prescription Drug Abuse

Palm Beach County Substance Awareness Coalition. Drug Abuse Trends In Palm Beach County, Florida Annual Report: July 2017

Epidemiologic Data on Opioid Use: Changing Problems

9/5/2011. Outline. 1. Past and Current Trends re: RX Abuse 2. Diversion Methods 3. Regulatory Reporting Requirements 4. Q/A

Southeastern Florida (Miami Area) Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2018

Miami Dade County Substance Abuse Trends and Needs Assessment 2017

The Role of Opioid Overdoses in Confirmed Maternal Deaths,

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCE Narrative

OHIO S PRESCRIPTION DRUG OVERDOSE EPIDEMIC:

TOWARD A REAL-TIME DRUG OVERDOSE MONITORING SYSTEM

Philadelphia Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2018

VIRGINIA DEPARTMENT OF HEALTH OFFICE OF THE CHIEF MEDICAL EXAMINER

Office of National Drug Control Policy

The OAS Report. Issue Suicidal Thoughts, Suicide Attempts, Major Depressive Episode, and Substance Use among Adults.

National Drug Early Warning System (NDEWS): A New Approach for Multi-Level Monitoring of Opioid Trends in the U.S.

United Way of Broward County Commission on Substance Abuse. Drug Abuse Trends in Broward County, Florida: June 2014

National Drug Early Warning System (NDEWS) State of Texas Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2018

Drug-related hospital stays in Australia

2007 ANNUAL REPORT. January 1, 2007 to December 31, 2007 James N. Hall Madeline Camejo, MS, Pharm.D.

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCE Narrative

Mayors Opioid Summit PATTERNS AND TRENDS OF THE OPIOID EPIDEMIC IN BROWARD COUNTY TYPES OF OPIOIDS DEFINITION OF OPIOID. Pill Press from China

OHIO S OPIOID DRUG OVERDOSE EPIDEMIC: CONTRIBUTING FACTORS AND ONGOING PREVENTION EFFORTS

Responding to the Opioid Addiction Epidemic

Drug Trends and Trafficking in Montana and Beyond

Atlanta Metro Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2018

National Drug Early Warning System (NDEWS) Atlanta Metro Sentinel Community Site Drug Use Patterns and Trends, 2015

Opioid Deaths Quadruple Since 1999

Opioid Task Force Kick-Off Meeting. February 29, 2016

Drug-related hospital stays in Australia

Texas Sentinel Community Site (SCS) Drug Use Patterns and Trends, 2018

Montgomery County Poisoning Death Review, 2016: Quarter I Updated June 20, 2016

From 1994 to 2001, the only narcotic analgesic that declined was codeine. Mentions decreased 61 percent, from 9,439 to 3,720.

Drug Abuse Trends in Miami-Dade County Florida: June 2015

Mark Edlund, MD, PhD RTI International. Photo courtesy of The Herb Museum, Vancouver, BC

This document is made available electronically by the Minnesota Legislative Reference Library as part of an ongoing digital archiving project.

Annual Reports Questionnaire (ARQ) Part III: Extent, patterns and trends in drug use

Drug-Related Deaths in Yolo County,

Michael M. Miller, MD, FASAM, FAPA

Drug related hospital stays in Australia

Behavioral Health Barometer. Oregon, 2015

Clinical Toxicology: An Update

Trends in Indicators of Opioid and Methamphetamine Use in New Mexico and Bernalillo County,

Epidemiology of Addiction

Drug Overdose Deaths among Kentucky Residents, December, 2018

Substance Use Disorder Landscape February 2018 Page 1

Behavioral Health Barometer. North Dakota, 2013

The Opioid Epidemic: HHS Response

Opiate Use among Ohio Medicaid Recipients

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCE Narrative

Substance Use In Philadelphia People Places and Things. Perspectives on an Epidemic

Drug Abuse Trends in Minneapolis/St. Paul, Minnesota: June 2013

Transcription:

National Drug Early Warning System (NDEWS) Sentinel Community Site (SCS) Drug Use Patterns and Trends: SCS Snapshot The SCS Snapshot is prepared by NDEWS Coordinating Center staff and contains graphics that display information on drug use, substance use disorders and treatment, drug poisoning deaths, and drug seizures. The SCS Snapshots attempt to harmonize data available for each of the 12 sites by presenting standardized graphics from local treatment admissions and four national data sources: National Survey on Drug Use and Health; Youth Risk Behavior Survey; SCE-provided local treatment admissions data; National Vital Statistics System mortality data queried from CDC WONDER; and National Forensic Laboratory Information System. The SCS Snapshots for each of the 12 Sentinel Community Sites and detailed information about NDEWS can be found on the NDEWS website at www.ndews.org. NDEWS King County (Seattle Area) SCS Drug Use Patterns and Trends, 217 2

King County (Seattle Area) SCS Snapshot, 217 Substance Use National Survey on Drug Use and Health (NSDUH): Survey of U.S. Population* Persons 12+ Years Reporting Selected Substance Use, King County (Seattle Area)^, 212- Estimated Percent, 95% Confidence Interval, and Estimated Number of Persons** Binge Alcohol*** 21% 354,34 Past Month Use Illicit Drug other than 4% 76,72 216,584 Past Year Nonmedical use of Pain Relievers 5% 79,431 Cocaine Use 2% 34,757 % 5% 1% 15% 2% 25% 3% 4% 45% 5% 55% 6% 65% 7% *U.S. Population: U.S. civilian non-institutionalized population. ^King County: NSDUH Region 2 (King County). **Estimated Number: Calculated by multiplying the prevalence rate and the population estimate of persons 12+ years (1,7,584) from Table C1 of the NSDUH Report. ***Binge Alcohol: Defined as drinking five or more drinks on the same occasion. Source: Adapted by the NDEWS Coordinating Center from data provided by SAMHSA, NSDUH. Annual averages based on combined 212 to NSDUH data. Youth Risk Behavior Survey (YRBS): Survey of Student Population Public High School Students Reporting Lifetime (LT) or Past Month (PM) Use of Selected Substances, Seattle, 1 Estimated Percent and 95% Confidence Interval LT Alcohol Use 5% LT Use PM Alcohol Use 24% PM Use PM Binge Alcohol Use* 23% 14% Substance use increased from 211 Substance use decreased from 211 % 5% 1% 15% 2% 25% 3% 4% 45% 5% 55% 6% 65% 7% 1 : YRBS data not available for Seattle so YRBS data are presented. *PM Binge Alcohol Use: Defined as had five or more drinks of alcohol in a row within a couple of hours. Statistically significant change: p<.5 by t-test. Source: Adapted by the NDEWS Coordinating Center from data provided by CDC, 21- high school YRBS data. NDEWS King County (Seattle Area) SCS Drug Use Patterns and Trends, 217 3

Substance Use Disorders and Treatment National Survey on Drug Use and Health (NSDUH): Survey of U.S. Population* Substance Use Disorders** in Past Year Among Persons 12+ Years, King County (Seattle Area)^, 212- Estimated Percent, 95% Confidence Interval, and Estimated Number of Persons*** Illicit Drugs or 9% Alcohol 148,896 Alcohol 7% 122,82 Illicit Drugs 3% 46,346 % 5% 1% 15% 2% 25% 3% 4% 45% 5% *U.S. Population: U.S. civilian non-institutionalized population. **Substance Use Disorders in Past Year: Persons are classified as having a substance use disorder in the past 12 months based on responses to questions that meet the criteria specified in the 4th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV). ^King County: NSDUH Region 2 (King County). ***Estimated Number: Calculated by multiplying the prevalence rate and the population estimate of persons 12+ years (1,7,584) from Table C1 of the NSDUH Report. Source: Adapted by the NDEWS Coordinating Center from data provided by SAMHSA, NSDUH. Annual averages based on combined 212 to NSDUH data. Treatment Admissions Data from Local Sources Trends in Treatment Admissions*, by Primary Substance of Abuse, King County (Seattle Area), 212-216** 7, 6, 5, 4, 3, 2, 1, HEROIN (N=1,446) ALCOHOL (N=1,383) MARIJUANA (N=418) METHAMP. (N=565) COCAINE (N=246) RX OPIOIDS (N=22) 212 (n=1,222) (n=9,285) (n = Number of Treatment Admissions) (n=9,82) (n=8,928) Methamp. Cocaine Rx Opioids*** 216 (n=9,56) Demographic Characteristics of Treatment Admissions*, King County (Seattle Area), 216 45% 6% 7% 74% Male SEX 55% 4% Female 3% 26% 12% 11% 2% 22% 52% 47% Heroin Alcohol *Treatment Authorizations: Includes admissions to outpatient, opioid treatment programs and residential modalities of care in public-funded programs. **216 Trends Data: Estimates based on doubling preliminary numbers reported for July December 216. ***Rx Opioids: Includes oxycodone/hydrocodone, non-prescription methadone, and other opiates. 216 Demographics Data: Based on preliminary data reported for July December 216. Percentages may not sum to 1 due to rounding. See Sentinel Community Site (SCS) Data Tables and Overview & Limitations section for more information regarding the data. Source: Data provided to the King County (Seattle Area) NDEWS SCE by the Washington State Department of Social and Health Services (DSHS) and King County Behavioral Health and Recovery Division. AGE 61% 61% 57% 41% 19% 19% 2% Under 26 yrs. 26-44 yrs. 45+ yrs. 29% 53% RACE 72% 3% 53% 21% 1% 2% 11% 8% 1% 14% 16% 8% 1% 15% 4% 75% 14% 5% 4% White, Non-Hisp. African-Am./Black, Non-Hisp. Hispanic Other NDEWS King County (Seattle Area) SCS Drug Use Patterns and Trends, 217 4

Drug Overdose (Poisoning) Deaths National Vital Statistics System (NVSS) via CDC WONDER Trends in Drug Overdose (Poisoning) Deaths*, by Drug**, King County (Seattle Area), 211 (Number of Deaths and Percent of Drug Overdose (Poisoning) Deaths with Drug(s) Specified ) 6 55 5 45 4 35 3 25 Drug Overdose (Poisoning) Deaths 2 15 Opioids 1 5 211 212 (99.7%) Psychostimulants Cocaine Benzodiazepines Trends in Opioid Overdose (Poisoning) Deaths*, by Opioid, King County (Seattle Area), 211 (Number of Deaths, by Drug** and Percent of Drug Overdose (Poisoning) Deaths with Drug(s) Specified ) 6 55 5 45 4 Any Opioids Heroin Natural Opioid Analgesics Methadone Synthetic Opioid Analgesics 35 3 25 2 15 1 5 211 212 (99.7%) *Drug Overdose (Poisoning) Deaths: Defined as deaths with ICD-1 underlying cause-of-death (UCOD) codes: X4-X44, X6-X64, X85, and Y1-Y14. **Drug Overdose (Poisoning) Deaths, by Drug: Drug overdose (poisoning) deaths with ICD-1 multiple cause-of-death (MCOD) T-codes: Benzodiazepines (T42.4); Cocaine (T4.5); Psychostimulants with Abuse Potential [excluding cocaine] (T43.6) may include amphetamines, caffeine, MDMA, methamphetamine, and/or methylphenidate; Any Opioids (T4.-T4.4, OR T4.6). Specific opioids are defined: Opium (T4.); Heroin (T4.1); Natural Opioid Analgesics (T4.2) may include morphine, codeine, and semi-synthetic opioid analgesics, such as oxycodone, hydrocodone, hydromorphone, and oxymorphone; Methadone (T4.3); Synthetic Opioid Analgesics [excluding methadone] (T4.4) may include drugs such as tramadol and fentanyl; and Other and Unspecified Narcotics (T4.6). Percent of Drug Overdose (Poisoning) Deaths with Drug(s) Specified: The percentage of drug overdose (poisoning) deaths with specific drugs mentioned varies considerably by state/catchment area. This statistic describes the annual percentage of drug overdose (poisoning) deaths that include at least one ICD-1 MCOD code in the range T36-T5.8. See Sentinel Community Site (SCS) Data Tables and/or Overview & Limitations for additional information on mortality data. Source: Adapted by the NDEWS Coordinating Center from data provided by the Centers for Disease Control and Prevention (CDC), National Center for Health Statistics, Multiple cause of death 1999-, available on the CDC WONDER Online Database, released 216. Data compiled in the Multiple cause of death 1999- were provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program. Retrieved between February-June 217, from http://wonder.cdc.gov/mcd-icd1.html NDEWS King County (Seattle Area) SCS Drug Use Patterns and Trends, 217 5

Law Enforcement Drug Seizures National Forensic Laboratory Information System (NFLIS) Drug Reports* for Items Seized by Law Enforcement in King County (Seattle Area) in 216 DEA National Forensic Laboratory Information System (NFLIS) Top 1 Drug Reports and Selected Drug Categories Drug Identified Number (#) Percent of Total Drug Reports (%) TOTAL Drug Reports 1,252 1% Top 1 Drug Reports Methamphetamine 446 35.6% Top Drug Reports Among Select** NPS Drug Categories (% of Category) Fentanyl and Other Fentanyls (n=31) Fentanyl (9%) Acetylfentanyl (6%) Furanyl Fentanyl (3%) Heroin 359 28.7% Cocaine 143 11.4% Cannabis 81 6.5% Fentanyl 28 2.2% Alprazolam 26 2.1% Oxycodone 23 1.8% No Controlled Drug Identified 2 1.6% 3,4- Methylenedioxymethamphetamine (MDMA) 14 1.1% Phencyclidine 11.9% Synthetic Cannabinoids (n=5) 5-Fluoro-ADB (8%) ADB-CHMINACA (2%) Top 1 Total 1,151 91.9% New Psychoactive Substances (NPS) Drug Categories Fentanyl and Other Fentanyls 31 2.5% Synthetic Cannabinoids 5.4% Synthetic Cathinones 1 <.1% 2C Phenethylamines.% Piperazines.% Tryptamines.% Any Opioid 435 34.7% Synthetic Cathinones (n=1) Methylone (1%) *Drug Report: Drug that is identified in law enforcement items, submitted to and analyzed by federal, state, or local forensic labs, and included in the NFLIS database. The NFLIS database allows for the reporting of up to three drugs per item submitted for analysis. The data presented are a total count of first, second, and third listed reports for each selected drug item seized and analyzed. The timeframe is January-December 216. **Select NPS Drug Categories: The 3 most prevalent NPS drug categories. Percentages may not sum to 1 due to either rounding, missing data and/or because not all possible categories are presented in the table. Drug Categories/Any Opioid: See Sentinel Community Site (SCS) Data Table 6b for a full list of the drug reports for each NPS and Opioid category. Other Fentanyls are substances that are structurally related to fentanyl (e.g., acetylfentanyl and butyrl fentanyl). See Notes About Data Terms in Overview and Limitations section for a list of Other Fentanyls that were reported to NFLIS from the 12 NDEWS sites. Source: Adapted by the NDEWS Coordinating Center from data provided by the U.S. Drug Enforcement Administration (DEA), Diversion Control Division, Drug and Chemical Evaluation Section, Data Analysis Unit. Data were retrieved from the NFLIS Data Query System (DQS) on May 28, 217. NDEWS King County (Seattle Area) SCS Drug Use Patterns and Trends, 217 6