The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
2006 Annual Report of the American Association of Poison Control Centers' National Poison Data System (NPDS)
Open accessAbstract
Background:The American Association of Poison Control Centers (AAPCC; http://www.aapcc.org ) maintains the National Poison Data System (NPDS).Today, 60 of the nation's 61 US poison centers upload case data automatically.Most upload every 1-60 minutes (median 11 minutes) to NPDS creating a real-time national exposure database and surveillance system. Methodology:We analyzed the case data tabulating specific indices from NPDS.The methodology was similar to that of previous years.Where changes were introduced, the differences are identified.Fatalities were reviewed by a team of 27 medical and clinical toxicologists and assigned to 1 of 6 categories according to Relative Contribution to Fatality (RCF).Results: Over 4 million calls were captured by NPDS in 2006: 2,403,539 human exposure calls, 1,488,993 information requests, and 128,353 nonhuman exposure calls Substances involved most frequently in all human exposures were analgesics.The most common exposures in children less than age 6 were cosmetics/ personal care products.NPDS documented 1,229 human fatalities.Conclusions: Poisoning continues to be a significant cause of morbidity and mortality in the US.NPDS represents a valuable national resource to collect and monitor US poisoning exposure cases.It offers one of the few real-time surveillance systems in existence, provides useful data and is a model for public health surveillance. AAPCC 2006 Annual Report of the NPDS 819Surveillance was carried out by a team of 4 medical and clinical toxicologists working across the country who provided daily monitoring of surveillance anomalies.The 2006 AAPCC fatality review was carried out by 27 managing and medical directors who verified abstracts of clinical case data for all exposure related deaths.These individuals are listed in Appendix A and are acknowledged for their commitment and contribution to the AAPCC and the public health.1983 16 43.1 251,012 5.8 1984 47 99.8 730,224 7.3 1985 56 113.6 900,513 7.9 1986 57 132.1 1
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
Cites
(1997) · Journal of Toxicology: Clinical Toxicology · doi:10.3109/15563659709162570 · Cited by 222
Harrison's Principles of Internal Medicine 16th Edition
D, E. B. M., Jameson, J. L., Hauser, S. L., Loscalzo, J., & Longo, D. L. (2004) · Cited by 163
Cited by
Acetaminophen from liver to brain: New insights into drug pharmacological action and toxicity
Ghanem, C. I., Pérez, M. J., Manautou, J. E., & Mottino, A. D. (2016) · Pharmacological Research · doi:10.1016/j.phrs.2016.02.020 · Cited by 384
Mushroom poisoning epidemiology in the United States
Brandenburg, W. E., & Ward, K. J. (2018) · Mycologia · doi:10.1080/00275514.2018.1479561 · Cited by 105
The pain reliever and heroin epidemic in the United States: shifting winds in the perfect storm
Maxwell, J. C. (2015) · Journal of Addictive Diseases · doi:10.1080/10550887.2015.1059667 · Cited by 44
Sembower, M. A., Ertischek, M. D., Buchholtz, C., Dasgupta, N., & Schnoll, S. H. (2013) · Journal of Addictive Diseases · doi:10.1080/10550887.2012.759880 · Cited by 34
Poison Centers Detect an Unexpectedly Frequent Number of Adverse Drug Reactions to Lisdexamfetamine
Spiller, H. A., Griffith, J. R., Anderson, D. L., Weber, J. A., & Aleguas, A. (2008) · Annals of Pharmacotherapy · doi:10.1345/aph.1l240 · Cited by 17
Metadata
- Authors
- Bronstein, A. C., Spyker, D. A., Cantilena, L. R., Green, J., Rumack, B. H., & Heard, S. E.
- Venue
- Clinical Toxicology
- Publisher
- Informa UK Limited
- Published
- 2007-01
- Volume
- 45
- Issue
- 8
- Pages
- 815-917
- ISSN
- 0009-9309 (ISSN-L)
- 1556-3650
- 1556-9519
- OpenAlex
- W2032156262
- Cited by
- 337
- References
- 2
- FWCI
- 52.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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: 2006 Annual Report of the American Association of Poison Control Centers' National Poison Data System (NPDS). https://app.cochat.ai/papers/10.1080/15563650701754763
- The paper
- Bronstein, A. C., Spyker, D. A., Cantilena, L. R., Green, J., Rumack, B. H., & Heard, S. E. (2007). 2006 Annual Report of the American Association of Poison Control Centers' National Poison Data System (NPDS). Clinical Toxicology. https://doi.org/10.1080/15563650701754763
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.