PROGRESS CHANNEL XM-127, THE JOE SUDBAY COROLLARY SPECIAL: “DEBUNKING THE JUNK SCIENCE OF OPIOIDS AND THE FAILURE OF THE RULE OF LAW,” PART-1

You Got TO Find Your People, The Ones Who Will Tell You the Truth and Wish You Well…Can’t Go It Alone

“..the joe sudbay debunking the opioid crisis special..” from youarewithinthenorms.com..”

NORMAN J CLEMENT RPH., DDS, NORMAN L. CLEMENT PHARM-TECH, MALACHI F. MACKANDAL PHARMD, BELINDA BROWN-PARKER, IN THE SPIRIT OF JOSEPH SOLVO ESQ., INC.T. SPIRIT OF REV. C.T. VIVIAN, JELANI ZIMBABWE CLEMENT, BS., MBA., IN THE SPIRIT OF THE HON. PATRICE LUMUMBA, IN THE SPIRIT OF ERLIN CLEMENT SR., WALTER F. WRENN III., MD., JULIE KILLINGWORTH, LESLY POMPY MD., CHRISTOPHER RUSSO, MD., NANCY SEEFELDT, WILLIE GUINYARD BS., JOSEPH WEBSTER MD., MBA, BEVERLY C. PRINCE MD., FACS., NEIL ARNAND, MD., RICHARD KAUL, MD., IN THE SPIRIT OF LEROY BAYLOR, JAY K. JOSHI MD., MBA, ADRIENNE EDMUNDSON, ALISHA GARDNER, ESTER HYATT PH.D., WALTER L. SMITH BS., IN THE SPIRIT OF BRAHM FISHER ESQ., MICHELE ALEXANDER MD., CUDJOE WILDING BS, MARTIN NJOKU, BS., RPH., IN THE SPIRIT OF DEBRA LYNN SHEPHERD, BERES E. MUSCHETT, STRATEGIC ADVISORS

There Is No Such Thing as “Opioid Use Disorder”

Richard A Lawhern, PhD

July 27, 2024

Anyone who reads healthcare news today must know that American medicine – particularly pain medicine – is in crisis. Doctors are experiencing high levels of burnout due to administrative burdens, prior authorization demands, and a healthcare system that often prioritizes efficiency over patient care. This burnout is leading to mental health issues and, in some cases, physician suicides.

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#americanpainanddisabilityfoundation #shortages #shortages #saynotoillictfentyal treatingpatientssavelives@American Pain & Disability FDN @Shirl @SnarkilyAndrew60

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Medicare payments to physicians have decreased by 26% since 2001 when adjusted for inflation, putting financial strain on medical practices. 

Yet the high cost of healthcare in the U.S. compared to other countries is an ongoing significant issue.  The U.S. system of tying healthcare to employment has left millions uninsured or underinsured, especially during economic downturns.

Just as doctors are under enormous pressure, so also are patients dying of medical collapse and suicide due to doctor desertion.  Conditions are especially critical among the 50 million-plus US citizens who suffer yearly from debilitating chronic pain sufficiently intense to bring them to a doctor’s office for help.  Increasingly, there is no help to be had.

The practice of medicine in America has been criminalized by vast government overreach.   Doctors are being intimidated by an ongoing National witch hunt conducted by the US Drug Enforcement Agency.  Some clinicians are leaving practice.  Others are posting prominent notices in their offices, stating that they do not prescribe opioids. 

Richard A Lawhern, PhD

For Tewodros Eguale and François Bastardot

Please pass this on to your colleagues and your coauthors  of the following paper:

LAWHERN DEBUNKING OPIOID USE DISORDER MACHINE LEARNING JUNK SCIENCE OF

JMIR Medical Informatics – A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study

ML OUD RISK REPORT FALSE Conclusions: 

A systematic comparison was conducted between an ML application and clinicians to identify OUD risk. The ML application generated clinically valid and useful alerts about patients’ different OUD risk levels. ML applications hold promise for identifying patients at differing levels of OUD risk and will likely complement traditional rule-based approaches to generating alerts about opioid safety issues.

Tewodros Eguale1, 2  ;  François Bastardot3, 4  ;  Wenyu Song2, 5  ;  Daniel Motta-Calderon6  ;  Yasmin Elsobky2, 7  ;  Angela Rui2  ;  Marlika Marceau8  ;  Clark Davis2  ;  Sandya Ganesan2  ;  Ava Alsubai2  ;  Michele Matthews1, 9  ;  Lynn A Volk8  ;  David W Bates2, 5, 8, 10  ;  Ronen Rozenblum2, 5 

Richard A Lawhern, PhD:

A colleague recently referred me to your published paper, linked above. I am writing to ask several follow-up questions.

  1. Did your protocols evaluate for effects of the individual variations in minimum effective opioid dose levels caused by genetically mediated opioid metabolism?
  2. What steps did you take to ensure that your Machine Learning algorithms were not corrupted by the prevailing misinformation, misdirection, and fraud that dominate our public conversations of prescription opioid addiction?
  3. How did you discriminate high-risk from low-risk patients in both the machine algorithms and the practice standards of consulted clinicians?
  4. Are you aware of the highly predictive model developed by Oliva et al., and the indications it provides on risk factors for opioid overdose and suicide events?  If so, then how well do your risk-factor constructs align with those of the STORM Model?https://psnet.ahrq.gov/innovation/veterans-health-administration-stratification-tool-opioid-risk-mitigation-storm-shows
  5. I invite your comment on the following published peer-reviewed literature review on the training of addiction specialists and clinicians who treat patients with severe chronic pain: https://esmed.org/MRA/mra/article/view/4726/99193547448 Doctors Diagnosing Addiction—Are the Blind Leading the Blind?

    How did your protocols address the standardization of criteria for diagnosing Opioid Use Disorder?  Or did you bother to do so?
  6. I also offer the following paper recently published on STAT News, to a potential readership of 2.3 Million monthly readers:https://www.statnews.com/2024/07/11/doctors-overprescribing-opioids-didnt-cause-overdose-epidemic/Doctors ‘overprescribing’ opioids isn’t the cause of the overdose epidemic — and it never was
  7. Please see also a short paper scheduled for publication within the next three weeks on KevinMD.com, one of the most widely read and cited healthcare newsletters in America (Below)

I look forward to hearing from you at your earliest convenience.

zoClement

Sincerely

Richard A. “Red” Lawhern, PhD

Patient Advocate

Twitter: @Lawhern1

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