Governing therapeutic pluralism: An environmental scan of the statutory regulation and government reimbursement of traditional and complementary medicine practitioners in the United States
Bibliographic record
Abstract
The World Health Organization has called on nation-states to statutorily govern, and integrate into state-funded healthcare systems, practitioners of traditional and complementary medicine (T&CM) (whose therapeutic approaches that fall outside the boundaries of conventional biomedicine). To date, however, there exist few rigorous reports of the degree to which individual nations have responded to this call. This study, an environmental scan, comprehensively documents the statutory governance and government reimbursement of T&CM practitioners in the United States (US). Across the US, where health practitioner governance falls within state and territorial (rather than federal) jurisdiction, over 300 laws have been enacted to statutorily regulate a wide range of T&CM practitioners. Nurse-midwives and chiropractors are universally licensed across all 56 US regulatory jurisdictions (50 states, 5 territories and the District of Columbia); other major T&CM practitioner groups are regulated in fewer jurisdictions (acupuncturists, n = 52; massage therapists, n = 50; direct-entry [non-nurse] midwives, n = 36; naturopaths, n = 24). Additional statutory stipulations exist to govern chiropractic assistants (n = 30), auricular (ear) acupuncture practitioners (n = 24), homeopathic practitioners (n = 3), and psychedelic facilitators (n = 1), as well as biomedical professionals who practice acupuncture and related techniques, e.g., 'dry needling' (n = 44). While professional entry requirements for licensed T&CM practitioners are substantially harmonized across jurisdictions, restricted titles and statutory scopes of practice vary. Ten states have furthermore implemented 'safe harbor' ('negative licensing') exemption laws enabling otherwise-unregulated T&CM practitioners to legally practice. Limited government reimbursement for T&CM care is available across several federal and state programs, including Medicare, Tricare, Veterans Health Authority, and Medicaid. Nurse-midwifery and chiropractic care is most frequently reimbursed; acupuncturists, naturopaths and massage therapists are eligible for much more limited coverage. Medicaid programs for low-income people in ten states furthermore cover the services of (unlicensed but statutorily-recognized) birth doulas. Additional research is needed to assess the impact of these regulations on US health care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.043 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.013 | 0.027 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".