The Legal Landscape for Opioid Treatment Agreements
Bibliographic record
Abstract
Policy Points Opioid treatment agreements (OTAs) are controversial because of the lack of evidence that their use reduces opioid-related harms and the potential risks they pose of stigmatizing patients and undermining the clinician-patient relationship. Even so, their use is now required in most jurisdictions, and their use is influencing the outcomes of civil and criminal lawsuits. More research is needed to evaluate how OTAs are implemented given existing requirements. If additional research does not resolve the current level of uncertainty regarding OTA benefits, then policymakers in jurisdictions where they are required should consider eliminating OTA mandates or providing flexibility in the legal requirements to make room for clinicians and health care institutions to implement best practices. CONTEXT: Opioid treatment agreements (OTAs) are documents that clinicians present to patients when prescribing opioids that describe the risks of opioids and specify requirements that patients must meet to receive their medication. Notwithstanding a lack of evidence that OTAs effectively mitigate opioids' risks, professional organizations recommend that they be implemented, and jurisdictions increasingly require them. We sought to identify the jurisdictions that require OTAs, how OTAs might affect the outcomes of lawsuits that arise when things go wrong, and instances in which the law permits flexibility for clinicians and health care institutions to adopt best practices. METHODS: We surveyed the laws and regulations of all 50 states and the District of Columbia to identify which jurisdictions require the use of OTAs, the circumstances in which OTA use is mandatory, and the terms OTAs must include (if any). We also surveyed criminal and civil judicial decisions in which OTAs were discussed as evidence on which a court relied to make its decision to determine how OTA use influences litigation outcomes. FINDINGS: Results show that a slight majority (27) of jurisdictions now require OTAs. With one exception, the jurisdictions' requirements for OTA use are triggered at least in part by long-term prescribing. There is otherwise substantial variation and flexibility within OTA requirements. Results also show that even in jurisdictions where OTA use is not required by statute or regulation, OTA use can inform courts' reasoning in lawsuits involving patients or clinicians. Sometimes, but not always, OTA use legally protects clinicians from liability. CONCLUSIONS: Our results show that OTA use is entwined with legal obligations in various ways. Clinicians and health care institutions should identify ways for OTAs to enhance clinician-patient relationships and patient care within the bounds of relevant legal requirements and risks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".