Opioids in Virginia - C2ER

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Opioids in Virginia - C2ER
Opioids in Virginia
Robert M. McNab and Barbara A. Blake
Dragas Center for Economic Analysis and Policy
Strome College of Business
Old Dominion University, Norfolk, Virginia

June 6, 2019
Reintegration into the Workforce: Bringing in Labor off the Sidelines
C2ER 59th Annual Conference, 2019
Opioids in Virginia - C2ER
Presentation Agenda

1. Measuring the impact of opioids

2. Who consumes opioids and
   why?

3. Potential labor market impacts
   of opioids

4. The Path Forward
Opioids in Virginia - C2ER
Opioids-What we know

Opioids are the
leading cause of
accidental death
in the United
States and the
Commonwealth
of Virginia.                                      The Most Common Opioids

                       Methadone           Vicodin, Lorcet,         Dilaudid
                                               Lortab           (hydromorphone)
                                           (hydrocodone)

                   Percocet, Percodan,   Demerol (pethidine)   Duragesic (fentanyl)
                       OxyContin
                      (oxycodone)
                                                                             3
Opioids in Virginia - C2ER
Estimated Consumption of Narcotics
                                               Daily Doses Per Million Inhabitants Per Day, 2017
                              45,000
                                       40,240
                              40,000

                              35,000
  Daily Doses Per 1 Million

                              30,000              28,862
                                                                      26,029
                              25,000
                                                                                          21,109               19,960
                              20,000                                                                                               19,204

                              15,000

                              10,000                                                                                                                    8,537
                                                                                                                                                                            6,513
                               5,000
                                                                                                                                                                                             1,413
                                  0
                                        U.S.         DEU                CAN                  AUS                  BEL                SWE                  FRA                  FIN           JPN
                                                                                                                                                                                                   4
Source: International Narcotics Control Board Annual Report, 2018. Narcotics include codeine, fentanyl, hydrocodone, hydromorphone, methadone, morphine, oxycodone, pethidine, and others.
Opioids in Virginia - C2ER
Estimated Consumption of Selected Narcotics
                                           Daily Doses Per Million Inhabitants Per Day, 2017
                              20,000
                                                        17,832
                              18,000
                              16,000
  Daily Doses Per 1 Million

                              14,000
                              12,000
                              10,000
                               8,000
                                                                                                    6,435                       6,203
                               6,000
                               4,000
                               2,000                                                                              1,581
                                                                                    825
                                  0
                                       Fentanyl             Hyrdocodone             Hydromorphone     Methadone      Morphine     Oxycodone
                                                    U.S.            Germany            Canada         Austria     Belgium
                                                                                                                                          5
Source: International Narcotics Control Board Annual Report, 2018. Table XIV.1.a.
Opioids in Virginia - C2ER
Age-Adjusted Drug Overdose Deaths Per 100,000
                                                   United States, 1999 - 2017
                       30                                                                                                                                     29.1

                       25
                                                                                                                                                               21.7
  Deaths Per 100,000

                       20

                       15
                                                                                                                                                              14.4
                       10   8.2

                       5 6.1
                            3.9
                       0
                            1999     2001                2003                2005                2007                2009                2011   2013   2015   2017
                                                                           Total                     Men                     Women
                                                                                                                                                               6
Source: Centers for Diseases Control and Prevention (2018). NCHS Data Brief Number 329, Drug Overdose Deaths in the United States 1999-2017.
Opioids in Virginia - C2ER
Age-Adjusted Drug Overdose Deaths by Opioid Category
                                                United States, 2000 – 2018*
                        35,000                                                                                                                                                                  30,511
                        30,000
   Deaths Per 100,000

                        25,000

                        20,000
                                                                                                                                                                                                14,759
                        15,000

                        10,000                                                                                                                                                                  12,562
                         5,000

                            0                                                                                                                                                                    3,048
                                 2000         2002               2004              2006               2008               2010               2012               2014               2016          2018
                                   Heroin                 Natural and Semisynthetic                                           Methadone                           Synthetic
Source: Centers for Diseases Control and Prevention (2018). NCHS Data Brief Number 329, Drug Overdose Deaths in the United States 1999-2017. *2018 data represent year-on-year change and are      7
preliminary data through October 2018.
Opioids in Virginia - C2ER
Age-Adjusted Drug Overdose Deaths Per 100,000
                                         United States and Selected States, 2006 and 2017
                       70.0

                       60.0                                                                                                                                                                 57.8

                       50.0
  Deaths Per 100,000

                                                                                                                                                                                46.3
                                                                                                                                                           44.3
                       40.0                                                                                                           36.3

                       30.0
                                                                                                                 24.1
                                                                                            21.7
                                                   17.9                 19.4
                       20.0

                       10.0    8.1

                        0.0
                              NE                  VA                   NY                  U.S.                 NC                  MD                    PA                  OH            WV
                                                                                                                                                                                                 8
Source: Centers for Diseases Control and Prevention (2018). NCHS Data Brief Number 329, Drug Overdose Deaths in the United States 1999-2017. Standard errors available in the CDC tables.
Opioids in Virginia - C2ER
Overdoses from Selected Opioids in Virginia
                                                              2007 - 2018
            1200

                                                                                                                                                                                                   977
            1000

             800
   Deaths

             600
                                                                                                                                                                                                   457
                           401
             400

             200           148

                 0
                          2007           2008           2009           2010            2011           2012                  2013           2014            2015            2016             2017   2018
                              Fentanyl and/or Heroin                                           Prescription Opioids (Excluding Fentanyl)
                                                                                                                                                                                                         9
Source: Virginia Department of Health, Office of the Chief Medical Examiner, Fatal Drug Overdose Quarterly Report,   4 th   Quarter 2018. Published April 2019. Data subject to revision.
Opioids in Virginia - C2ER
Leading Methods of Unnatural Death in Virginia
                                                           2007 - 2018
            1,600                                                                                                                                                                                   1,484
            1,500
            1,400
            1,300
            1,200          1,124
   Deaths

            1,100                                                                                                                                                                                  1,036
            1,000
             900            836                                                                                                                                                                    958
             800
             700
             600             721
                           2007           2008           2009           2010           2011           2012                  2013           2014            2015            2016             2017   2018
                                   Motor Vehicle Related                                       Gun Related                                   Fatal Drug Overdose
                                                                                                                                                                                                      10
Source: Virginia Department of Health, Office of the Chief Medical Examiner, Fatal Drug Overdose Quarterly Report,   4 th   Quarter 2018. Published April 2019. Data subject to revision.
Opioid
Consumption
Survey Responses on Rationale for Opioid Consumption
                                                   United States, 2017
              60%
                                                                                                                                                                           49% 51% 47%
              50%

              40%
    Percent

              30%                                                             26% 27% 24%

              20%                                   16%
                               12%
                                           8%                                                                               10% 9% 10%
              10%

              0%
                             Pain from illness                           Post-surgical pain                                  Chronic pain                             Never (knowingly)
                                                                                                                                                                        taken opioids
                                                                         Total                      Female                            Male
Source: Statista Survey, February 2017 of 1,029 respondents. "What was the main reason for taking opioids the last time you took them?“ Approximately 2% of respondents were “other” and another   12
2% declined to respond to the survey question.
Self-Reported Health Status
                                                                    Males Age 25-54, United States
             40%
                                                            36.3%
                                                                                                           35.1%
             35%
                                                                         29.2%                   31.9%
             30%
                                 19.5%                                                                                                                    25.4%
             25%                                                                                                     24.4%
   Percent

                       20.0%                                                    20.6%
             20%                                                                                                                                                                                17.4%
                                                                                                                                             13.9%
             15%                           12.3%
                                                                                                                                       10.7%
             10%

             5%                                                                                                                                                                        2.3%
                                                                                                                                                                             1.2%
             0%
                              Excellent                          Very Good                                 Good                                    Fair                                Poor
                                    Men - Employed                                Men - Unemployed                                    Men - Not in Labor Force
Source: American Time Use Survey Responses. Employed (7,277), Unemployed (468), and Not in Labor Force (683). Sample is Well-Being Module (2010, 2012, 2013) using Well-Being Module Weights.     13
Credit original analysis: Alan B. Kreuger (2016). “Where Have All the Workers Gone?” Code available upon request.
Respondents Who Took Pain Medication the Previous Day
                                                  Males Age 25-54, United States
                               70%

                               60%                                                                                                                                                 57.7%
   Percent Taking Medication

                               50%
                                                                                                                                                                 43.5%
                               40%
                                                      32.4%
                               30%
                                     20.2%                                                         18.9%
                               20%
                                                                                                                     12.4%
                               10%

                               0%
                                         Employed                                                    Unemployed                                               Not in Labor Force
                                                                                  All Men                Disabled Men
Source: American Time Use Survey Responses. Employed (7,277), Unemployed (568), and Not in Labor Force (683). For disabled men, Employed (191), Unemployed (25), and Not in Labor Force (276).      14
Sample is Well-Being Module (2010, 2012, 2013) using Well-Being Module Weights. Credit original analysis: Alan B. Kreuger (2016). “Where Have All the Workers Gone?” Code available upon request.
Self-Reported Health Status
                                                                 Females Age 25-54, United States
             40%
                                                           37.0%                                          36.3%
             35%
                                                                                                30.9%
             30%                                                        25.6%                                       28.0%

             25%                                                               24.0%
                       21.0% 16.3%
   Percent

                                                                                                                                           18.1% 19.3%
             20%
                                          16.6%
             15%
                                                                                                                                                                                     12.2%
                                                                                                                                     10.0%
             10%

             5%                                                                                                                                                                   3.7%
                                                                                                                                                                           1.1%
             0%
                             Excellent                          Very Good                                 Good                                   Fair                             Poor
                              Women - Employed                                Women - Unemployed                                   Women - Not in Labor Force
                                                                                                                                                                                         15
Source: Alan B. Kreuger (2016). “Where Have All the Workers Gone? American Time Use Survey Responses. Employed (7,453), Unemployed (637), and Not in Labor Force (2,265)
Respondents Who Took Pain Medication the Previous Day
                                                 Females Age 25-54, United States
                               80%

                               70%                    67.5%
   Percent Taking Medication

                               60%
                                                                                                                                                                                   50.3%
                               50%

                               40%
                                      33.7%                                                                          32.0%
                               30%                                                                 27.3%                                                         25.9%

                               20%

                               10%

                               0%
                                     Not in Labor Force                                              Unemployed                                                       Employed
                                                                            All Women                    Disabled Women
Source: American Time Use Survey Responses Employed (7,453), Unemployed (637), and Not in Labor Force (2,265). For disabled women, Employed (394), Unemployed (50), and Not in Labor Force
(175). Sample is Well-Being Module (2010, 2012, 2013) using Well-Being Module Weights. Credit original analysis: Alan B. Kreuger (2016). “Where Have All the Workers Gone? Code available upon   16
request.
Respondents Who Took Pain Medication the Previous Day
                                       Males and Female Veterans Age 25-54, United States
                               60%

                                                                                                                                                                50.1%
                               50%
   Percent Taking Medication

                                                                                                                                                                                  45.4%
                                                      41.3%
                               40%
                                                                                                  31.7%             32.3%
                               30%   27.5%

                               20%

                               10%

                               0%
                                         Employed                                                   Unemployed                                               Not in Labor Force
                                                                       Male Veterans                        Female Veterans
                                                                                                                                                                                                17
Source: American Time Use Survey Responses. Male veterans (2,770). Female veterans (272). Sample is Well-Being Module (2010, 2012, 2013) using Well-Being Module Weights. Code available upon
request.
Labor Markets
Labor Force Participation Rate, United States
                                                          January 2007 – April 2019
                              70% 69.4%
                              69%
                                                                                                                                          65.9%
                              68%
  Labor Force Participation

                                    66.7%
                              67%
                              66%
                              65%    64.6%
                              64%                                                                                                         62.8%
                              63%
                              62%
                              61%                                                                                                         62.5%

                              60%
                                 2007        2009                      2011                        2013             2015           2017   2019
                                              Black or African American                               Hispanic or Latino   White
                                                                                                                                          19
Sources: Bureau of Labor Statistics and Dragas Center for Economic Analysis and Policy. Seasonally adjusted data.
20
Unemployment and Fatal Opioid Overdoses

  A simple bivariate analysis
   suggests that there is a
   causal relationship between
   the unemployment rate and
   the fatal opioid overdose
   rate in Virginia.

  A lack of economic
   opportunities may lead
   individuals to seek solace in
   a variety of substances,
   including opioids.

  This is likely an endogenous
   relationship, so we would
   need a viable instrument to
   explore in more detail.
                                          21
ED Visits and Disability Rates

  A prevailing hypothesis is
   that increases in disability
   rates correspond to
   increases in opioid use.

  A bivariate examination
   suggests a causal
   relationship between the
   disability rate and
   emergency department
   opioid overdose visits.

  As with unemployment, this is
   likely endogenous, so we
   would need to obtain a
   viable instrument to explore
   in more detail.
                                   22
The Path Forward:
Opioids and
Employment
Lack of skilled labor, an aging labor
                force, and close to record low
                unemployment rates make finding
                quality labor a challenge.

Complications   Failing Drug Tests-In 2017, positive tests
                for illegal drugs in the U.S. workforce
for Employers   remained at their highest level in more
                than a decade.

                According to Detox’ Drugging at Work
                Survey, nearly 7 in 10 Americans have
                used drugs including opiates,
                amphetamines and cocaine while they
                were at work.

                                                        24
Has your company hired individuals with any of the following
                     backgrounds?

                                                                                                        25
Source: Workers with Criminal Backgrounds, 2018, https://www.shrm.org/hr-today/trends-and-forecasting
Dr. Nora Volkow, Director, National Institute on Drug
  Abuse (NIDA), National Institutes of Health (NIH)

                              The Biggest Challenges

We lack health system and healthcare provider capacity to identify and engage
individuals, and provide them with high-quality, evidence-based opioid addiction
treatment, in particular the full spectrum of medication-assisted treatment (MAT). It is
well-documented that the majority of people with opioid addiction in the U.S. do not
receive treatment, and even among those who do, many do not receive evidence-
based care. Accounting for these factors is paramount to the development of a
successful strategy to combat the opioid crisis.

There is a need for more rigorous research to better understand how existing programs
or policies might be contributing to or mitigating the opioid epidemic.
Looking Forward: A New Look At Pain Management
I have come to believe that an
uncompromising “abstinence-only” model is
a holdover from the very beginnings of the
recovery movement, almost 100 years ago,
and our understanding has greatly evolved
since then. The concepts of addiction and
recovery that made sense in 1935, when
Alcoholics Anonymous was founded, and
which have been carried on by tradition,
might not still hold true in the modern age of
neurochemistry and functional MRIs.

Peter Grinspoon, M.D
Faculty, Harvard Medical School
(11 years clean-Opioids)

    Source: Does addiction last a lifetime? Harvard Medical School. October 08, 2018
                                                                                       27
Substance Use Prevention and
Treatment Initiative
The Pew Charitable Trusts

• Reduce the inappropriate use of prescription
  opioids while ensuring that patients have access
  to effective pain management.
• Expand access to effective treatment for
  substance use disorders, including through the
  increased use of FDA-approved medications
  and behavioral health therapies.

                                                   28
WHAT ROLE CAN EMPLOYERS PLAY IN THIS CRISIS?

Provide Education, Access to Help and Support
                                  Recovery Friendly
                                   Environment- Substance use
                                   disorder is a disease and we
                                   wouldn’t talk about zero
                                   tolerance for other diseases.
                                  Worker Education Programs-
                                   training such as early signs for
                                   managers could provide
                                   crucial intervention assistance
                                   for employees.
                                  Employee Wellness Programs
                                   create a workplace culture
                                   that minimizes the stigma of
                                   addiction.

                                                                   29
Employers can maintain a safe work
                                                               environment and combat
                                                               prescription drug abuse by taking
                                                               the following measures:

                                                                  Revise the company's drug policy
                                                               to address prescription drug use in
                                                               addition to illegal drugs.
                                                                  Educate employees about the
                                                               dangers of prescription painkiller
                                                               use and misuse.
                                                                  Include prescription medications
                                                               in their drug-testing program.
                                                                  Partner with their health care and
2018 Society for Human Resource Management                     workers' compensation insurance
(SHRM) and the Charles Koch Institute (CKI) WORKERS            providers to prevent and manage
WITH CRIMINAL RECORDS Member Survey                            opioid abuse.
74% of managers believe the cost of hiring individuals with
criminal records is the same as or lower than that of hiring
individuals without criminal records.

                                                                                                   30
“Collateral Consequences”-Dropping out of the workforce

  •Discrimination and barriers to employment with a felony history

  •Food and financial assistance through the Supplemental Nutrition
  Assistance Program (SNAP) and Temporary Assistance for Needy
  Families (TANF)benefits are difficult to receive for anyone with a past
  that includes a drug felony (12 states have a lifetime ban)

  •Barriers to Education include no access to financial aid or grants for
  people with drug convictions

  •An inability to return to work for at least five years if a drug felony was
  committed and the person was employed in the medical field
                                                                                 31
Resources to Combat SUDs
National focus on remedying barriers and
opening up the playing field to those who
                                                Substance Use-Disorder
move forward despite addiction, criminal    Prevention that Promotes Opioid
convictions, etc.
                                                Recovery and Treatment
                                               (SUPPORT) for Patients and
                                                   Communities Act

                                                 First Step Act of 2018

                                             Certificates of Rehabilitation

                                                                          32
Next Steps
             The foremost need is to acquire more and better information concerning
             opioid addiction:
                                    • Better practices to reduce the “burden of
                                      hurt” for individuals and the inappropriate
                                      use of opioids.

                                    • New research that advances our
                                      understanding of pain and addiction and
                                      the development of pioneering
                                      treatments.

                                    • Increase the availability and distribution
                                      of overdose-reversing drugs.

                                    • Increase public health data reporting and
                                      collection.
                                                                                      33
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