America's New War on Drugs: Should the United States Legalize Prescription Drug Reimportation;Note
Bibliographic record
Abstract
Many Americans in the United States are in the midst of a war on drugs.However, the enemy in this war on drugs has changed since President Ronald Reagan started the social crusade in the 1980's.For millions of Americans, the pharmaceutical companies, and the high price of their prescription drugs, are the enemy.The weapon many Americans brandish?Increasingly, they fight the cost of prescription drugs through methods of reimportation.Reimportation takes many forms.An estimated one million Americans cross the border into Canada each year to purchase a few months' supply of prescription drugs at prices not found in the United States. 1 Many others gain access to foreign pharmaceuticals through the Internet. 2Some take advantage of a growing number of strip mall storefronts like Rx Depot, which sell imported Canadian drugs at Canadian prices across the United States. 3All of these forms seek to combat the rising costs of pharmaceuticals by obtaining prescription drugs from markets outside the United States.This Note first discusses the history of high prescription drug prices in the United States compared to foreign countries.It then analyzes the proposed plan to permit reimportation of prescription drugs from foreign markets such as Canada, addressing the economic strengths and weaknesses as well as the safety issues present in a reimportation plan.Finally, it concludes that recent congressional efforts to implement reimportation must address the safety concerns used to defeat such plans, work to restrict direct-to-consumer advertising, and spread the research and development burden
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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 | 0.001 | 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 | 0.001 |
| 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".