The DOI matches its Crossref record.
Prescription Drug Monitoring Programs and Death Rates from Drug Overdose
Abstract
OBJECTIVE: Drug overdoses resulting from the abuse of prescription opioid analgesics and other controlled substances have increased in number as the volume of such drugs prescribed in the United States has grown. State prescription drug monitoring programs (PDMPs) are designed to prevent the abuse of such drugs. This study quantifies the relation of PDMPs to rates of death from drug overdose and quantities of opioid drugs distributed at the state level. DESIGN: Observational study of the United States during 1999-2005. OUTCOME MEASURES: Rates of drug overdose mortality, opioid overdose mortality, and opioid consumption by state. RESULTS: PDMPs were not significantly associated with lower rates of drug overdose or opioid overdose mortality or lower rates of consumption of opioid drugs. PDMP states consumed significantly greater amounts of hydrocodone (Schedule III) and nonsignificantly lower amounts of Schedule II opioids. The increases in overdose mortality rates and use of prescription opioid drugs during 1999-2005 were significantly lower in three PDMP states (California, New York, and Texas) that required use of special prescription forms. CONCLUSIONS: While PDMPs are potentially an important tool to prevent the nonmedical use of prescribed controlled substances, their impact is not reflected in drug overdose mortality rates. Their effect on overall consumption of opioids appears to be minimal. PDMP managers need to develop and test ways to improve the use of their data to affect the problem of prescription drug overdoses.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Opioid Abuse in Chronic Pain — Misconceptions and Mitigation Strategies
Volkow, N. D., & McLellan, A. T. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1507771 · Cited by 1,305
Walley, A. Y., Xuan, Z., Hackman, H. H., Quinn, E., Doe-Simkins, M., Sorensen-Alawad, A., Ruiz, S., & Ozonoff, A. (2013) · BMJ · doi:10.1136/bmj.f174 · Cited by 999
Mortality Among Homeless Adults in Boston: Shifts in Causes of Death Over a 15-Year Period
Baggett, T. P., Hwang, S. W., O’Connell, J. J., Porneala, B. C., Stringfellow, E. J., Orav, E. J., Singer, D. E., & Rigotti, N. A. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1604 · Cited by 566
Sun, E. C., Dixit, A., Humphreys, K., Darnall, B. D., Baker, L. C., & Mackey, S. (2017) · BMJ · doi:10.1136/bmj.j760 · Cited by 534
King, N. B., Fraser, V., Boikos, C., Richardson, R., & Harper, S. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.301966 · Cited by 310
Metadata
- Authors
- Paulozzi, L. J., Kilbourne, E. M., & Desai, H. A.
- Venue
- Pain Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-05
- Volume
- 12
- Issue
- 5
- Pages
- 747-754
- ISSN
- 1526-2375 (ISSN-L)
- 1526-4637
- OpenAlex
- W1503812641
- Cited by
- 372
- References
- 0
- FWCI
- 25.87
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prescription Drug Monitoring Programs and Death Rates from Drug Overdose. https://app.cochat.ai/papers/10.1111/j.1526-4637.2011.01062.x
- The paper
- Paulozzi, L. J., Kilbourne, E. M., & Desai, H. A. (2011). Prescription Drug Monitoring Programs and Death Rates from Drug Overdose. Pain Medicine. https://doi.org/10.1111/j.1526-4637.2011.01062.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.