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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. IN THE SPIRIT OF WALTER R. CLEMENT BS., MS, MBA. HARVEY JENKINS MD, PH.D., IN THE SPIRIT OF C.T. VIVIAN, JELANI ZIMBABWE CLEMENT, BS., MBA., IN THE SPIRIT OF THE HON. PATRICE LUMUMBA, IN THE SPIRIT OF ERLIN CLEMENT SR., EVELYN J. CLEMENT, WALTER F. WRENN III., MD., JULIE KILLINGSWORTH, RENEE BLARE, RPH, DR. TERENCE SASAKI, MD 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,AISHA GARDNER, ADRIENNE EDMUNDSON, 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
CLINICAL PREDATORS HIRED FOR LARGE SUMS OF MONEY
September 12, 2024
As a U.S. health care writer and patient advocate for almost 30 years, I read a lot. Recently, some of that reading is in court transcripts of doctors being persecuted out of medicine or into jail by various prosecutors and their hired “experts.” I use the term “persecuted” intentionally.
I believe that “medical experts” in many court or Medical Board proceedings are simply “hired guns” – clinical predators hired for large sums of money to tell stories whose details they do not themselves understand.
Most judges and juries — and media reporters — understand even less.
No lawyer likes to ask questions to which they don’t already know the answers. But sometimes, one must explore a witness’s qualifications rigorously – and the Judge’s qualifications as well.
In my view, no judge or jury is competent to assess the credibility of a witness who testifies against a doctor unless both the witness and the judge understand not only the content of the medical literature but also its major weaknesses.
This principle was demonstrated glaringly in a two-year-old conference of the Florida Society for Interventional Pain Physicians (FSIPP), where I was invited to speak.
Beginning my lecture, I asked an audience of about 100 doctors and nurse practitioners a series of questions for a show of hands. The last question was, “How many of you have recent training in the evaluation of clinical trials and study protocols?”
No hands went up.
As I suggested to the audience, “You realize, of course, that without this exposure, when you read only the abstract of a published clinical paper, you have no idea whether the authors or peer reviewers knew what they were doing.
You lack the skills to check their work.”
You could have heard a pin drop as I continued with my lecture.
This reaction is similar to what I have heard separately from journalists whom I have challenged on the grounds that “studies” they have lauded in their summary articles are rather frequently biased or wrong on basic science or methodology.
REPLICATION CRISIS
RED LAWHERN ON JUNK SCIENCE LISTEN BELOW
Problems with Scientific peer review
Even “experts” can fall victim to the burdens of their reading workloads or publication deadlines. They scan an abstract and come away believing incorrectly that they have done their duty of due diligence.
However, we now know that the peer review process is failing in medical literature just as it is in psychology and psychiatry – and even physics. This failure is a dimension of what we call the “replication crisis,” and relatively few judges or journalists are even aware of the problem.
persistent biases of journal editors and peer reviewers
In many areas of science, when widely praised studies are repeated by different investigators, results are different from the first time around.
Even in studies where the same outcomes are observed, results are frequently weaker or more ambiguous than in the original. Expectation bias and investigators’ professional self-interest are likely involved in such failures.
Also operating are the persistent biases of journal editors and peer reviewers, without whose approval nothing gets published.
This might be a modern example of “Extraordinary Popular Delusions and the Madness of Crowds,” by Scottish journalist Charles Mackay, first published in 1841.
A reliable rule of thumb in such matters is the GIGO law: “garbage in, garbage out.” Huge numbers of papers in all areas of modern science now suffer from weak or unexamined assumptions, flawed methods, bias, and cherry-picked research.
Many published papers, for instance, ignore the quality of studies that are combined for “meta-analysis.”
And if you write about health care and don’t know what meta-analysis is, then you might be part of the problem.
Without probing the actual knowledge of “expert” witnesses, judges and juries cannot know whether they are hearing generally accepted principles and practices—even when clinical literature is quoted. Neither can journalists.
For a doctor who treats pain with opioid pain relievers, these errors can result in profound miscarriages of justice. U.S. physicians have reported being targeted by drug enforcement agencies and medical boards for prescribing opioids, even when they have done so legitimately for chronic pain management.
DISCUSSION
Doctors have experienced raids, had their medical records seized, and faced public scrutiny, which has led to the ruin of their practices and even patient suicides. Some have been denied adequate representation by law enforcement pre-trial asset seizures.
Questions for medical experts and answers
Thus, I suggest a few pertinent questions for any “subject matter expert” who testifies against a doctor concerning prevailing practice on opioid pain relievers – and for judges and journalists as well.
Questions: How many patients have you treated for pain during your career? How many of them died from all causes while under your care?
Answers: Patients treated for severe chronic pain often face higher mortality ratescompared to the general population. Chronic pain can be associated with an increased risk of death, particularly from causes such as cancer, diseases of the circulatory and respiratory systems, and suicide. None of these factors is a consequence of the use of prescription opioid drugs approved for use by the U.S. FDA.
Questions: How many patients have you discharged or referred to an addiction specialist after they complained of inadequate pain care? Is this typical of other practitioners in your field? How do you know? What is the nature of “opioid dependence?” Are you familiar with the term “pseudo-addiction?
Answers: Opioid dependence in medical practice is a purely physical reaction in which patients who have been treated with opioid pain relievers may experience withdrawal symptoms if they are tapered too rapidly off their medications. The concept reflects fundamental principles of pharmacology that were well-established in the 1970s.
Dependence is not addiction.
Pseudo-addiction is an affliction of doctors, not patients. It reflects a misinterpretationof patient requests for better pain control. This misperception is complicated by institutional bias introduced by legal counsels who are loathed to risk practice exposure to censure on the grounds of “violating” dose limits in poorly researched government prescribing guidelines.
Question: In your opinion, how frequently do patients treated for pain by a doctor die of a prescription drug overdose?
Answer: The incidence of overdose-related mortality in clinical patients is too low to confidently estimate within confounds imposed by poor doctor training and limited observation times in clinical encounters.
Moreover, definitive large-cohort studiesindicate that combined near-term incidence of suicide events or hospitalization for overdose in clinical patients treated with opioids is on the order of 2 percent or less.
In all probability, opioids are actually innocent bystanders in the causation of these tragedies.
As noted by the Director of the U.S. National Institute on Drug Abuse, “unlike tolerance and physical dependence, addiction is not a predictable result of opioid prescribing. Addiction occurs in only a small percentage of persons who are exposed to opioids — even among those with preexisting vulnerabilities.”
Dr. Volkow is also on record questioning the prevailing emphasis on “abstinence only” policies in the treatment of addiction.
Question: What are the best indicators in a patient’s medical records that they may experience bad outcomes from pain treatment using prescription opioids?
Answer: A history of attempted suicide, hospitalizations for overdose, or severe psychiatric disorders are four to twenty times more significant in risk of near-term overdose or suicide than treatment with opioids.
Question: Is there a widely accepted consensus standard of opioid prescribing that definitively limits dose levels due to patient risks?
Answer: No, there is not. The 2022 U.S. CDC Clinical Practice Guideline is not a “consensus” standard for the treatment of pain. The CDC itself indicates that its guidelines are “intended as recommendations to guide clinicians in making informed, patient-centered decisions about pain care, including opioid therapy…”
Indeed, CDC guidelines are widely rejected by practicing clinicians on multiple grounds:
Weak medical evidence and gross over-emphasis on risk and non-consensual tapering of legacy patients, many of whom have been stable for years on high-dose opioid therapy.
Anti-opioid bias, cherry-picked research, and faulty methodology, including scientifically unjustifiable claims that non-opioid approaches, including non-pharmacological approaches, are “preferable” to opioids – in the absence of trials that demonstrate any such thing.
Failure to address or embrace the implications of highly variable opioid metabolism between individuals due to genetics – a failure reflected in almost all published drug trials.
Conclusions
However uncomfortable this reality may be for medical boards, prosecutors, judges, or political decision-makers, there is presently no consensus standard by which a doctor’s prescribing practices can be determined to lie outside usual and accepted conditions of practice.
The central and arguably only pertinent judgment of potential benefits and harms for each patient is the doctor’s clinical experience and training.
The misinformed or biased testimony of a paid professional witness is simply not enough.
If a doctor or pharmacist harms patients through inattention, negligence, or unprofessional conduct, medical boards and boards of pharmacy are charged with revoking their licenses.
If a doctor prescribes or a pharmacist dispenses large volumes of opioids in the absence of face-to-face doctor-patient relationships, medical testing, and ongoing patient monitoring, we recognize indicators for referral to law enforcement.
(In the U.S., pill mills are thankfully rare these days due to better State oversight.)But de-licensing clinicians, placing them on probation, or sending them to jail for occasional errors in record keeping is simply ludicrous.
Government overreach has grossly criminalized the practice of medicine in the U.S. It is past time for such overreach to end, and political interference in the practice of evidence-based medicine should also end.
Even in cases in which prescribing practices are questionable, the burden of proof must be on law enforcement to demonstrate beyond a shadow of a doubt that the doctor knew they were prescribing narcotics outside the usual course of professional practice.
Unless evidence is verified for harms suffered by patients due to dangerous behavior on the part of a doctor, there can be only one legally or ethically justified outcome in prosecutions of clinicians: Case dismissed!
FOR NOW YOU ARE WITHIN
THE NORMS
Richard A. Lawhern is a patient advocate.
That Daily Remedy episode is a VERY important piece of evidence, wherein the researcher Jacob Rich testifies that the Purdue Pharma/Sackler case was entirely manufactured, and that there was no alleged “spike” in overdoses and deaths, but that the data collection metrics that were changed during the same time period created that appearance in the data sets.