Literature DB >> 1996907

Protection of human health from mixtures of radionuclides and chemical in drinking water.

T D Jones1, B A Owen, J R Trabalka.   

Abstract

This study was undertaken to develop a common scale for evaluating health risks from contaminated drinking water. For different agents, many unrealistic models of risk have been used. By intent, regulatory toxicology depends on "data-sparse, model-intensive" analogies from exotic animal genetics and novel exposures (NCRP 1989). The question is, does a risk evaluation so derived have any predictive validity? Absence of data prevents answer because regulatory toxicology rationalizes in step-by-step logic, which we call absolute (i.e., predicts cases of disease in a population). Absolute models ensure safety, but do so at the cost of realism. In contrast, we make relative comparisons in the manner of horsepower or RBE from radiation biology. All pollutants are assumed to contribute to toxic injury. Next, relative potencies are linked to the most credible standards. Thus, experience is transferred from well-studied chemicals to the new chemical by "data-intensive, model-sparse" methods. This logos provides much relative precision. Then, pollutants are compared with: (1) common foodstuffs, (2) ambient radiation background, or (3) utility-pure drinking water. Finally, an assessment is made for a waste disposal area.

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Year:  1991        PMID: 1996907     DOI: 10.1007/bf01065341

Source DB:  PubMed          Journal:  Arch Environ Contam Toxicol        ISSN: 0090-4341            Impact factor:   2.804


  8 in total

Review 1.  Hazard evaluation for complex mixtures: relative comparisons to improve regulatory consistency.

Authors:  B A Owen; T D Jones
Journal:  Regul Toxicol Pharmacol       Date:  1990-04       Impact factor: 3.271

Review 2.  Literature-derived absorption coefficients for 39 chemicals via oral and inhalation routes of exposure.

Authors:  B A Owen
Journal:  Regul Toxicol Pharmacol       Date:  1990-06       Impact factor: 3.271

3.  Pesticides, risk, and applesauce.

Authors:  B N Ames; L S Gold
Journal:  Science       Date:  1989-05-19       Impact factor: 47.728

4.  Leukemia from Ra: 'data gaps' or 'scientific evidence'?

Authors:  T D Jones; L R Glass
Journal:  Health Phys       Date:  1989-09       Impact factor: 1.316

5.  Scientific risk assessment and the regulation of human cancer risks: background and new directions.

Authors:  R C Barnard
Journal:  Am Ind Hyg Assoc J       Date:  1987-09

6.  Chemical scoring by a rapid screening of hazard (RASH) method.

Authors:  T D Jones; P J Walsh; A P Watson; B A Owen; L W Barnthouse; D A Sanders
Journal:  Risk Anal       Date:  1988-03       Impact factor: 4.000

7.  A unifying concept for carcinogenic risk assessments.

Authors:  T D Jones; G D Griffin; P J Walsh
Journal:  J Theor Biol       Date:  1983-11-07       Impact factor: 2.691

8.  Animal studies and prediction of human tumors can be aided by graphical sorting of animal data: neoplastic risk from B(a)P, benzene, benzidine, and chromium.

Authors:  T D Jones; P J Walsh
Journal:  Am J Ind Med       Date:  1985       Impact factor: 2.214

  8 in total
  3 in total

1.  A RASH analysis of National Toxicology Program data: predictions for 30 compounds to be tested in rodent carcinogenesis experiments.

Authors:  T D Jones; C E Easterly
Journal:  Environ Health Perspect       Date:  1996-10       Impact factor: 9.031

2.  Toxicological potency of 2,3,7,8-tetrachlorodibenzo-p-dioxin relative to 100 other compounds: a relative potency analysis of in vitro and in vivo test data.

Authors:  T D Jones
Journal:  Arch Environ Contam Toxicol       Date:  1995-07       Impact factor: 2.804

3.  A novel sorbent based on Ti-Ca-Mg phosphates: synthesis, characterization, and sorption properties.

Authors:  Marina Maslova; Natalia Mudruk; Andrey Ivanets; Irina Shashkova; Natalia Kitikova
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-10       Impact factor: 4.223

  3 in total

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