PB89-222640
      Health Risk Assessment  of  Chemical Mixtures
       (U.S.)  Environmental Protection Agency, Cincinnati,
OH
       1989
L
                    J
       U.S. DEPARTMENT OF COMMERCE
      National Technical Information Service
      NT1S

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                      NOTICE

This document has been reviewed in accordance with
U.S. Environmental Protection Agency policy and
approved for publication.  Mention of trade names
or commercial products does not constitute endorse-
ment or recommendation for use.
                        ii

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                                   TECHNICAL REPORT DATA
                            locate read Instructions on the reverie before completing/
 1. REPORT NO.
   T.PA/600/D-89/028
                                                           3. RECIPIENT'S ACCESSION NO
 4. TITLE ANDSUBTITLE
 Health Risk Assessment  of Chemical Mixtures
5. REPORT DATE
                                                           6. PERFORMING ORGANIZATION CODE
                                                                   PB89-2226ttO
|7. AUTHOR(S)
 J.F. Stara, «.'.  Patterson,  K.  blackburn, R.C. Hertzberg
 and C.T. UeRosa
8. PERFORMING ORGANIZATION REPORT NO.
 9. PERFORMING ORGANIZATION NAME AND ADDRESS
                                                           10. PROGRAM ELEMENT NO.
                                                           11. CONTRACT/GRANT NCV
 12. SPONSORING AGENCY NAME AND ADDRESS
  Environmental Criteria and Assessment  Office
  Office of Research and Development
  U.S.  Environmental Protection Agency
  Cincinnati. OH  45268           	
13. TYPE OF REPORT AND PERIOD COVERED
14. SPONSORING AGENCY CODE

   EPA/600/22
 1t. SUPPLEMENTARY NOTES
  In:   Trace  Substances in Environmental llealth-XIX.   Proc.  Univ.  of Missouri's
  19th  Ann. Conf.,  U.O. Hemphill, Ed., June 3-6,  1985
 16. ABSTRACT
 The  implementation of Superfund requires a methodology  for estimating health risk from
 multi-chemical  contamination at ambient levels. Most  often, the chemical composition
 of  these mixtures is poorly characterized, exposure data  are uncertain and toxicologic
 data  on  trie known components of the mixture are limited.   However, a potential human
 nealth nazaru may exist ana the U.S. uPA, state and local  governments need to be able
 to  assess  the total hazard in order to make decisions on  appropriate action.  This
 paper describes a procedure for assessing the  n'sks from  chemical  mixtures that
 includes options when different kinds of data  are  available.  Good-quality information
 on  the mixture of concern or a similar mixture should always be used.  A less
 desirable,  Lu>£"stiil useful approach, is to utilize data  on components and their
 interactions.   The quality of exposure and toxicity data  must be determined and the
 uncertainties involved in each risk assessment must be  thoroughly discussed.  Water
 contamination is briefly discussed since it is of  vital concern as the primary
 exposure medium for chemical mixtures.  The methodology for estimating the human
 health risk froiii single chemicals, both carcinogens and systemic toxicants, is
 reviewed as it fonns the basis for the assessment  of  mixtures.  . •

17. KEY WORDS AND DOCUMENT ANALYSIS
a. DESCRIPTORS

|18. DISTRIBUTION STATEMENT
Public
b. IDENTIFIERS/OPEN ENDED TERMS

19. SECURITY CLASS (This Report 1
Unclassified
20. SECURITY CLASS (This page/
Unclassified
c. COSATI Field/Group

21. NO. OF PAGES
//
22. PRICE
M3
  PA Fo»w 2220-1 (R»r. 4-77)   PREVIOUS COITION is OBSOLETE

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               EPA/600/D-89/028

              Health Risk Assessment of Chemical Mixtures
   J.F. Stara, J. Patterson. K. Blackburn, R.C. Hertzberg and C.T. OeRosa
                   U. S. Environmental  Protection Agency
                Environmental Criteria and Assessment Office
                              Cincinnati, Ohio

                                  ABSTRACT

           The Implementation of Superfund requires  a methodology  for
       estimating health risk from mult 1-chemical  contamination  at
       ambient levels.  Most often, the chemical  composition of  these
       mixtures Is poorly characterized, exposure data are uncertain
       and toxlcologlc data on the known components  of the mixture are
       limited.  However, a potential  human health hazard  may exist
       and the U.S. EPA. state and local  governments need  to be  able
       to assess the total  hazard In order to  make decisions on  appro-
       priate action.  This paper describes a  procedure  for assessing
       the risks from chemical  mixtures that Includes  options when
       different kinds of data are available.   Good-quality Information
       nation on the mixture of concern or a similar mixture should
       always be used.  A less desirable,  but  still  useful  approach.
       Is  to utilize data on components and their  Interatlons.   The
       quality of exposure and toxlc'ty data must  be determined  and
       the uncertainties Involved In each  risk  assessment must be
       thoroughly discussed.  Water contamination  Is briefly  discussed
       since It 1s of vital  concern as  the primary exposure medium for
       chemical  mixtures.  The methodology for  estimating the human
       health risk from single chemicals,  both  carcinogens and systemic
       toxicants.  Is  reviewed as  It  forms  the basis  for the assessment
       of  mixtures.
                                  INTRODUCTION

       Public awareness  of  environmental Issues In the U.S. Increased dra-
matically In the  1970s, and was  accompanied by continuously expanding
scientific  Investigations  of pollution by various toxic chemicals.  Anew
facet  was added  In the  1980s with  the passage of the Comprehensive Environ-
mental Response,  Conservation and Liability Act (CERCIA), the so-called
"Superfund"  legislation.   While previous statutes (e.g. Clean A1r  Act,  1963;
Clean  Water  Act,  1977)  were  largely focused on hazards due to single chemi-
cals,  the Superfund  Act  required the hazard evaluation of waste  sites,  that
Is, the assessment of health hazard from human exposures to mixtures of
chemicals.
     Since 1979, the staff of the Environmental Criteria and Assessment
Office In Cincinnati of the U.S. EPA has been  developing health  risk
assessment guidelines and methodologies to be  used In deriving "acceptable
dally Intakes" or 'risk-specific Intakes" for  environmental  pollutants.
Specific guidelines for health risk assessment were  developed for  use In
preparing the 65 Anblent Water Quality Criteria Documents, mandated  by
by the Clean Water Act of 1977 (14,17).
     These efforts were directed primarily towards predicting exposure
levels for Individual chemicals which would be below the theoretical
population threshold for adverse effects In the case of  systemic toxicants
effects, or would estimate an Intake for carcinogens corresponding to an
upper-bound lifetime risk.  Since these methodologies  were  originally de-
veloped to address the Issue of water criteria for various  toxic species.
exposure across the entire Hfespan was a basic assumption In these  esti
mates.  In addition, there was no necessity for defining risk associate
with supra-threshold exposures to non-genotoxlc chemicals since the  emph
sis was the definition of acceptable :xposure levels.  One of the strH'
differences between Superfund and the other laws enforced by EPA Is  that
under Superfund, there Is a need to estimate the hazard associated with
existing contamination levels.  Thus, we had to shift from a "protective
to a "predictive" approach In the development of guidelines.
    Since Superfund deals with site-specific Issues, a new spectrum  of  '
assessment questions have arisen.  In addition to estimates of risk  foil
Ing lifetime exposures, we now must consider the consequences of partial
lifetime exposures.  In order to evaluate various types of remedial  act*
the risk associated with exposures of varied duration at varied levels ^
be evaluated.  In addition, the estimate of risk associated with exposur
to multiple chemicals at potentially supra-threshold levels has emphaslz
the need to consider Interactions between constituents.  Obviously,  the
goal of limiting exposure to virtually safe levels still remains. Howev
definition of existing hazard plays a vital role In determining pr1or1tt-
and In planning remedial actions.  In dealing with site-specific sltuatt
many options related to exposure control exist, 1n contrast to criteria
levels where unrestricted lifetime exposure, by necessity, formed a  basl'
premise.
    A primary concern In the evaluation of these sites Is the potential  •
migration of site constituents Into ground and surface waters.  Once thr
has occurred, options for controlling exposure are severely compromised  •
to current or potential use of these contaminated waters as drinking wat>
sources. It 1s then necessary to characterize Incremental exposure as a
function of site-specific factors; a difficult and highly uncertain  ende?
or.
    In this paper the major emphasis 1s placed on a review of the approai
dealing with health risk assessment of chemical mixtures.  The approach  <
health risk assessment of single chemicals Is briefly discussed because  1
forms the basis  of the evaluation of mixtures.  The  problem of water
contamination Is briefly discussed since It 1s of vital concern as the
primary exposure medium for chemical mixtures.

                              WATER POLLUTION

    The burning Cuyahoga River In 1969 Illustrated a serious nationwide
water pollution problem.  Water basins In the U.S. have been shown to be
polluted by Increasingly complex municipal and Industrial discharges (2) •
In addition to the contamination of surface waters In this manner, ground
water pollution has recently become a general public concern.  About half
of the U.S. population uses ground water as Its source of drinking water.
Ground water from Individually-owned wells represents a major drinking
water resource In many rural areas.  Regionally, the middle West and West
use more ground water relative to surface water than other regions (2).
Some of these states with high ground water usage (e.g.. Nebraska,
Kansas, Oklahoma) are also characterized by agricultural activity. 1ncre«
1ng the possibility of contaminating ground water sources with pesticides
and fertilizers.  A more recent and growing public concern Is the potent 1
for ground water to be contaminated from hazardous waste disposal  sites.
Preventing and cleaning up contaminated ground water presents many dif-
ficulties not encountered with surface water pollution.  Once an aquifer
contaminated. Its restoration as a usable drinking water supply Is extre^
difficult and/or expensive.  With an Increasing rel 1 ancejn ground water.

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It Is important that to be able to Identify and characterize the health
risk from contaminants In sources of drinking water (16).

SINGLE CHEMICALS:  RISK SPECIFIC INTAKE LEVELS AND ACCEPTABLE DAILY  INTAKES

    Health risk assessment deals with estimates of exposure to environ-
mental pollutants and associated health hazards.  Such an assessment  In-
cludes the basic toxicologic concept of dose-response relationships;  for
systemic toxicants we compare actual exposure to levels which do not  pre-
sent a human health hazard.  For carcinogens, only the Incremental risks
associated with a pollutant level 1n a specific environmental medium  are
considered.  In agreement with the National Academy of Sciences (7),  EPA
assumes that carclnogenesls 1s a non-threshold phenomenon, whereas other
toxic effects have thresholds. I.e., doses below which no adverse effects
will occur.  As a result, the first step In single chemical risk assessment
Involves a determination of the potential carclnogenlclty of the chemical.
Depending upon this determination, the risk assessment proceeds utilizing
one of two parallel methodologies which have been designed to address
non-threshold or threshold effects.

Carcinogens (Northreshold Effects)  (15)

    After a compound has been deten»
                  MA
                  le
                  Le
animal  potency (mg/kg/day)'1
assumed human weight, kg
animal  weight, kg
length of exposure
length of experiment or observation period
llfespan of the animal .
                                                                      The cube root of the ratio of body weights Is used to adjust  for
                                                                 species differences on the assumption that metabolic rate 1s proportions
                                                                 to body surface area, which is proportional to the 2/3 power of  body weU
                                                                 The factor 1 e/Le adjusts the actual dose to a dally dose averaged  over U
                                                                 length of the experiment.  The third factor, (Le/L)3, Is used to estlmat*
                                                                 risk from lifetime exposure when the animal experiment Is only partial
                                                                 lifetime.  This adjustment Is necessary to allow for positive responses
                                                                 that would have occurred had sufficient time been allowed for the  tumors
                                                                 develop (17).
                                                                      After the human potency has been calculated, the Intake rate  (I, 1n
                                                                 mg/day) associated with a specific lifetime risk (e.g., 10*5 or  1  In 100,
                                                                 Is determined:
                                                                                   1
                        70 (10-5)
                         potency
(2)
                                                                      This risk-specific Intake rate Is easily converted Into a media cone
                                                                 tration by dividing by the appropriate Intake rates for the exposure medi
                                                                 For example, assuming an Intake of 2 1 water/day, the risk  specific water
                                                                 concentration (C, In gm/1 ) Is:
                                                                                        I
                                                                                        7
                                                                (3)
                                                                      The prediction of cancer risk at a given exposure level  uses the saw
                                                                 basic approach outlined above, and Involves similar assumptions.  When hu'
                                                                 data are adequate, the observed human potency Is  used directly  to predict
                                                                 the upper bound of risk.  When animal data must be used,  and  particularly
                                                                 when higher exposure levels are Involved, the potency alone 1s  not suffi-
                                                                 cient, and the complete model should be used.  The risk (r) at  exposure d
                                                                 using the multistage model is (3):

                                                                                        Uexp(-q0-q1d-q2d2-...)                  (4)
                                                                 where the qt's are parameters In the model  to be estimated by  curve-flttl'
                                                                 procedures.  The Incremental  risk (or "excess risk")  1s then:
                                                                                   R. r(d)-r(0)
                                                                                       l-r(O)
                                                                (5)
     An estimated upper confidence limit  on the  excess  risk R  Is used as
the lifetime risk projection at exposure  level d,  suitably modified is
above for species differences and for duration If  the animal study was
for only partial  lifetime.

Systemic Toxicants (Threshold Effects) (1«)

     Five types of response levels are considered  for deriving criteria
based on noncarclnogenic responses:

            NOEL - No-Observed-Effect Level
            NOAEL - No-Observed-Adverse-Effect Level
            LOEL - Lowest-Observed-Effect Level
            LOAEL - Lowest-Observed-Adverse-Effect Level
            FEL - Frank-Effect Level

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 Adverse effects are define^ as any effects that result in functional
 Impairment and/or pathological lesions that may affect the performance of
 the whole organism or that reduce an organism's ability to respond to an
 additional challenge.  Frank effects are defined as overt or gross adverse
 (e.g., severe convulsions, lethality).
    These concepts are Illustrated In Figure 1.  They represent landmarks
 that help to define the threshold region In specific experiments.  Thus, If
 an experiment yle'.ds a NOEL, a NOAEL, a LOAEL, and a clearly defined  FEL In
 relatively closely spaced doses, the threshold region has been relatively
well-defined.  Such data are very useful  In deriving Acceptable Dally
 Intakes (AOIs).  On the other hand, a clearly defined TEL Is of little use
 in establishing criteria when it stands alone because such a level  gives no
 Indication of how far removed It Is from the threshold region.  Similarly,
a free-standing NOEL has little utility because there Is  no Indication of
 Its proximity to the threshold region.
  '•o _
s
*
                                               A (LIGHT •OOV WEIGHT
                                                 DfCRtASE
                                               • LIVEMMECMOSIS
                                               C MORTALITY
                             ?        10

                       OOtt (AMm«AflY UNITS)
      FIGURE  1.  RESPONSE LEVELS CONSIDERED IN DEFINING THRESHOLD
      REGIONS IN TOXICITY EXPERIMENTS.  DOSES ASSOCIATED WITH THESE
      LEVELS  ARE AS FOLLOWS:  3 - NOEL, NOAEL; 4 - LOEL. NOAEL; 5 -
      NOAEL (HIGHEST); 7 - LOAEL; 10 - FEL; 20 - FEL. (14)
    Based on the above dose-response classification system, the following
guidelines for deriving criteria from toxicity data can be used.

     0 A free-standing FEL is unsuitable for the derivation of criteria.

     0 A free-standing NOEL is unsuitable for derivation of criteria.   If
       multiple NOELs are available without additional  data on LOEL's.
       NOAEL's, or LOAEL's, the highest NOEL should be used to derive  -.
       criterion.

     0 A NOAEL. LOEL. or LOAEL can be suitable for criteria derivation.   A
       well-defined NOAEL from a chronic (at least 90-day) study can be
       used directly, dividing by the appropriate uncertainty factor,   For
       a LOEL, a Judgment must be made as to whether It actually corresponr
       to a NOAEL or a LOAEL.  In the case of a LOAEL, an additional
       uncertainty factor is applied; the magnitude of the additional
       uncertainty factor Is judgmental and should lie 1n the range of  1  tc
       10. Caution must be exercised not to substitute Frank-Effect Levels
       for Lowest-Observed-Adverse-Effect Levels.

     0 If—for reasonable closely spaced doses—only a NOEL and a LOAEL of
       equal  quality are available,the appropriate uncertainty factor  1s
       applied to the NOEL.

    In using this approach, the selection and Justification of uncertainty
factors are critical .  The National Academy of Science (7) has provided
guidelines for using uncertainty factors.  "Safety factor" or "uncertainty
factor" Is defined as a number that reflects the degree or amount of
uncertainty that must be considered when data from animal  experiments are
extrapolated to humans.  When the quality and quantity of experimental  data
are satisfactory, a low uncertainty factor Is used; when data are Judged to
be Inadequate or equivocal, a larger uncertainty factor Is used.  In those
cases where the data do not completely fulfill the conditions for one cate-
gory—or appear to be intermediate between two categories—an intermediate
uncertainty factor Is used.  Such intermediate uncertainty factors may be
developed based on a logarithmic scale.  These Issues were reviewed by
Dourson and Stara In 1983 (5).  In order to determine the acceptable
exposure level In water, the highest NOEL or NOAEL, or the lowest AEL
(depending on the data available) is divided by one or more uncertainty
factors (17).   The ADI 1s then substituted for ! In equation 3 above.

                    APPROACH TO TOXICITY DATA EVALUATION

   For the purposes of projecting hazard associated with a defined exposure
to a single toxicant, all toxicity data should be used along with the  ADI.
This dictates that the data need to be rated for severity of effect and that
the exposure level and duration be converted to equivalent human values.
This procedure allows all available toxicity data on a chemical to be used
In predicting the results of a given exposure to humans.  One method for
incorporating all the data in a predictive assessment is demonstrated by
Figure 2, a graph of study dose and duration versus effect severity.

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           ioo.ono

            KXOOO


             woo

              
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     TABU I.  RISK ASSESSMENT  APPROACH FOR  CHEMICAL MIXTURES*(19)


1.  Assess the quality of  the data  on Interactions, health effects and
    exposure.

    a.  If adequate, proceed to Step 2
    b.  If inadequate, proceed  to Step 14.

2.  Health effects Information  Is available  on  the chemical mlxture^of
    concern.

    a.  If yes, proceed to Step 3.
    b.  If no, proceed to  Step  4.

3.  Conduct risk assessment on  the mixture of concern  based on health
    effects data on the mixture.  Use the same  procedures as  those for
    single compounds.  Proceed  to Step 7 (Optional) and  Step  12.

4.  Health effects Information  Is available  on  a mixture that  Is s1mt-J-ar
    to the mixture of concern.

    a.  If yes, proceed to Step 5.
    b.  If no, proceed to  Step  7.

5.  Assess the similarity  of the mixture on  which health effects data are
    available to the mixture of concern, with emphasis on any differences
    In components or proportions of components, as well  as the effects  that
    such differences would have on biological activity.

    a.  If sufficiently similar, proceed to  Step 6.
    b.  If not sufficiently similar, proceed to Step 7.

6.  Conduct risk assessment on  the Mixture of concern  based on health
    effects data on the similar mixture. Use the same procedures as
    those for single compounds.  Proceed to  Step 7 (Optional) and Step  12.

7.  Cbuplle health effects and  exposure Information on'the components of
    the mixture.

8.  Derive appropriate Indices  of acceptable exposure  and/or  risk on the
    Individual components  In the mixture. Proceed to  Step 9.

9.  Assess data on Interactions of components  In the mixtures.

    i.  if sufficient quantitative data are  available  on the  Interactions
        of two or more components In the mixture, proceed to  Step 10.
    b.  If sufficient quantitative data are  not available, use whatever
        Information 1s available to qualitatively indicate the nature of
        potential interactions.  Proceed to  Step 11.
 Table  1  (cont'd)
 10.  Use an appropriate  interaction  model to combine risk assessments on
     compounds  for  which data  are  adequate, and use an additivity assump-
     tion  for the remaining compounds.  Proceed to Step 11 (optional) and
     Step  12.

 11.  Develop a  risk  assessment  based on an additivity approach for all
     compounds  in the mixture.  Proceed to Step 12.

 12.  Comoare risk assessments conducted in Steps 5, 8 and 9.  Identify
     and Justify the preferred  assessment, and quantify uncertainty, if
     possible.  Proceed  to Step 13.

 13.  Develop an Integrated summary of the qualitative and quantitative
     assessments with special emphasis on uncertainties and assumptions.
     Classify the overall quality of the risk assessment.  Stop.

 i4.  No risk assessment  can be  conducted because of Inadequate data on
     interactions, health effects or exposure.  Qualitatively assess the
     nature of any potential hazard  and detail  the types of additional
     data  necessary to support  a risk assessment.  Stop.


 *Note that several decisions used here, especially those concerning ade-
 quacy of  data and similarity between two mixtures, are not precisely
 characterized and will  require considerable Judgment.
Margins of Safety (MOS), or acceptable concentrations of a pollutant  in
various media.  For example, an Index for multlroute exposure based on the
ADI is:
                HIC
(6)
where E Is equal to exposure expressed In units of daily Intake.  The
subscripts denote exposure route, i.e., 0 • oral, I • inhalation, and D -
dermal .  For example, Ej and ADlj may be defined in terms of  air concentra-
tion.  This approach Is taken where route specific "virtually safe"  Intake
rates or practical thresholds are estimated.  The contribution of each
route Is added to estimate the total hazard index of a single chemical.
Naturally, this approach is most appropriate when route-specific criteria
1 .e based on systemic effects not related to portal  of entry.
    In order to compare total chemical exposure to an ADI value, exposure
In units of media concentration must first be converted to an absorbed
eg/day dose.  For example:

     water exposure level  (mg/1) x water consumption (1) x absorption
        coefficient • water exposure (mg/day); or

     air exposure concentration (mg/m3) x dally ventilation volume  (a3)
        x absorption coefficient « air exposure (mg/day).

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 Assuming  that  the  circulating blood  level  Is  responsible for the effects,
 then  the  ADI  for any  route may be used.   The  circulating threshold can be
 expressed 1n  terms of any ADI with Its corresponding absorption coefficient
                        TABLE II.  EXAMPLE OF ASSESSMENT Of MULTIPLE TOXICANT EFFECTS  RISK
                                    ASSESSMENT
      Circulating  Threshold •  (ADIoHan.)  "  (ADI])(a|) « (ADIn.)(a0)   (7)

 A single  chemical  Hazard  Index  for all exposure routes would be as follows:

                  {E0)(ao)*(E,)(a,)*(ED)(aD)
                                                                    (8)
where the  Ej  can  represent either oral,  Inhalation or dermal.
     As an example,  to estimate a total  hazard Index across one route, In
this case  Inhalation, we would use the Inhalation ADls and Inhalation
exposures  for each chemical :
                  El       E2              EN
                                                                    (9)
The following equation can be used to determine the simple sum of the route
Indices, as  In  Equation 6, or It can be based on the absorbed levels, as In
Equation 8.
         HIT -    Hi!   *  HI2   *  ...  +  HIN                       (10)


In the case  of  carcinogens, a similar additive approach can be used, except
that Instead of  AOIs,  doses corresponding to fixed risk levels such as 10'^
are used for each chemical .
     The Hazard  Index allows a qualitative estimate of whether or not a
hazard may exist. I.e.. a Hazard Index greater than 1 for either a single
chemical across  routes or lor a group of chemicals determined to have
potentially  additive effects would qualitatively Indicate a potential  for
hazard and suggest  further Investigation.
   In order  to quantitatively estimate hazard, one conceptually simple
approach Is  response addition In which the correlation of Individual  re-
sponses within the  population is assumed to be zero.  The formula for
predicting the total expected response (Pf) from exposure to two chemicals,
using this assumption, can be expressed as:  PT • PI»P? (!-PI).  This equa-
tion can be  generalized for any number of chemicals, as:
                       1 - 11 (1-P,)
                           1-1
(11)
For example, using this equation, the total Incidence based on all  adverse
responses (PCj) from each of five chemicals Is given in the last  column
of Table II, and the total Incidence for each adverse effect caused by the
combination of chemicals (PE{) Is given in the last row of Table  II.  In
this theoretical case, each of the five chemicals In the table exhibited
two types of adverse responses (15).
Chemical
Effects of concern
Compound

I
II
III
IV
V
"1
A
2xl--2


5x10-3

2.49x10-2
B C

3x10-3
4x10-2

6xlO-4
3.60x10-3 4xlO"2
D E
8xlO*4
1x10-3

9x10-3

9.79x10° 1x10
F


7x10-3

6x10-3
-3 1.30x10-'
PCi
2.08x10-2
4.00x10-3
4.67x10-?
1.39x10-2
6.60x10-3
? 8.9xlO'?
Source:   Adapted from Stara, el al., 1985.

    The calculation of P£j 1s a straightforward use of the above equation.
The calculation of PCi, the total Incidence of adverse responses caused by
each chemical . is somewhat different In that the assumption Is  that  the
separate effects Induced by a given chemical are Independent of one  another
For some combinations of effects (e.g.. Increased liver weight, MFO  Induc-
tion, proliferation of SER In liver cells) this assumption obviously will
be Invalid.   For such cases. It may be more reasonable to assume that the
correlation of tolerances approaches unity (15).
    Accepting for the moment that the responses of concern have been select>
so that the assumption of Independence among responses is reasonable, the
total  Incidence based on all  adverse effects from all  chemicals (Pj) can be
calculated from equation 11, substituting PE< for Pj.   The use  of equation
11 1s best Justified when overall risks are small, and may be better justi-
fied for calculation of cancer risk than of toxic risk.  However, where
multiple effects In the same Individual  are judged to  be significant, their
probability can be easily calculated seperately and expressed as an  ad-
ditional factor to be considered (15).
    While this approach Is conceptually slnple. It Is  predicated on  the
ability to estimate response rates for the spectrum of effects  associated
with the Individual  chemical  components.  Dependent upon the data base
available for the Individual  chemicals and the effects of concern, this may
or may not be possible.
    With each risk assessment of a chemical mixture there Must  be a  thorough
discussion of related uncertainties.  They should be clearly discussed and
the overall  quality of the risk assessment should be determined based on
an expression of the degree of confidence In the quality of the data on
interaction, health effects and exposure.

                         DISCUSSION AND CONCLUSION

   The various Issues in environmental  health dealt with In this paper need
to be tied together In order to be understood by scientists who are  not
intimately familiar with risk assessment procedures as they relate to the
Implementation of environmental  laws.  The short discussion dealing  with
potential  contamination of drinking water supplies In  the U.S.  Is Important
because of the present emphasis by the Agency on ground water contamination.
It appears that once an aquifer 1s contaminated by various toxic compounds
it is much more difficult to develop appropriate controls than  It  Is for

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 surface water  pollution.  Of course, a possibility exists that we Just know
 much more about  controlling contamination of surface water than ground
 water,  and that  It  will take a  few years before we have accumulated the
 knowledge and  experience  to deal with ground water contamination In a
 similar, rather  satisfactory, fashion.  Up" to now, risk assessments for
 water pollutants (and  other media) have addressed single chemicals. In
 order to understand the approaches being used for chemical mixtures, the
 single  chemical  assessments as  they relate to a particular environmental
 medium  have to be reviewed.
      The Office  of  Drinking Water of the U.S. EPA has established In their
 risk assessment  documents five  levels to control adverse effects In the
 population due to drinking water.  They are: 24-hour health advisories for
 10  kg children ano  70  kg  adults; 10-day health advisories (10 kg and 70
 kg); and a chronic  effect criterion to control  life-long exposure to pollu-
 tants In adult populations.  Currently, all  the values are determined for
 single  chemicals.  However, as  discussed In the body of the paper, when we
 deal  with hazardous waste sites, water reuse situations, or Instances of
 combined effects of various air pollutants, we must consider that the popu-
 lations are exposed to mixtures of chemicals.  On that basis, we must
 develop testing  procedures that are less time-consuming than standard
 bloassays, and yet, are satisfactory from a standpoint of data requirements
 for  risk assessment procedures.
   Many of the approaches described In this paper do not Include the full
 range of Issues  typically addressed In health risk  assessments performed  by
 EPA. Normally such reports represent a detailed consideration of a pollu-
 tant's  chemical  and physical properties and a description of Its behavior
 both physiologically and  environmentally.  Perhaps  most Important Is the
 practice of presenting risk-specific Intake levels  for carcinogens  and ac-
 ceptable dally Intakes for systemic toxicants In such a way as to fully
 describe all assumptions  and uncertainties associated with these quantita-
 tive estimates.   Furthermore, this process always entails scientific peer
 and  policy review.
      It  Is Important to distinguish between hazard  and risk assessment.
 Hazard  assessments  represent a  primarily qualitative characterization of
 the  spectrum of  effects associated with exposure In addition to the para-
 meters discussed above.   Risk assessments, on the other hand, are usually
 based on the hazard assessment  (4) as 1t relates to the exposed population,
 e.g., comparison  of  exposure to acceptable dally Intake.  Ideally,  the
 assessment  predicts  the Incidence of effects In  an  exposed population with
 •11   assumptions  and uncertainties clearly articulated.
      A primary problem encountered In risk assessment Is defining risk at  the
 low  exposure levels  typical  of environmental  human  exposures.  Despite
 data gaps  on chemical  toxlclty not only for  dose (In this Instance  low
 dose) but  for  route, duration and species of concern, there Is often a real
 end/or perceived  need to characterize risk.   This need for characterization
 Is not only  for  specific chemicals, but for  different combinations  of  chemi-
cals, multimedia  exposures, and different endpotnts of concern.  This
characterization  effort is contingent upon biologically-based inference and
extrapolation to  develop a working hypothesis formulated to project  risk.
 (4).  This type of  assessment effort is not  Intended to be In 1 leu  of  bio-
assay assessments, but rather to be complementary to bioassays"These
 factors  are  Important for risk  assessment  as  opposed to risk  management
 issues such  as regulatory Impact analysis  or  cost benefit  analysis.
     This brief overview of  current  approaches to risk  assessment of  chemi-
cal  mixtures and  the related methodologlc  developments  cannot  fully  reflect
the extent and the comolexitv of the efforts  required for  these tasks.
while some of the new developments related both to Individual  systemic
toxicants and chemical  mixtures, such as an Improved approach to inter-
species dose conversion, have been In progress for several  years.  Others,
such as methodologies for partial  lifetime health risk evaluation and the
determination of sensitive population subgroups, are relatively recent.
The proposed guidelines for health risk assessment of chemical  mixtures  (50
FR 1170) attempt to address the Issues briefly discussed here, to assure a
consistent approach to assessing mixtures and suggest promising areas of
future research.  Much effort is needed both 
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13. Smyth,  H.F.. C.S. Wei'.  J.S.  West,  and  C.P.  Carpenter.   1970.   An ex-
    ploration of joint toxic action.   II.   Equltoxlc  versus  equlvolume
    mixtures.  Toxlcol . Appl . pharmacol .  17:  498-503.
14. Stara,  J.F., M. L. Dourson and C.T. OeRosa.   1981.   Section 3  - Water
    Quality Criteria:  Methodology and  Applications.   In;  Conference
    Proceedings:  Environmental Risk  Assessment,  "How New Regulations Will
    Affect  the Utility Industry." EPRI  Contract  No. WS-80-134.
15. Stara,  J.F., R.C. Hertzberg,  R.J.F. Bruins,  M.L.  Dourson. P.R. Ourkln,
    L.S.  Erdrelch and W.E.  Pepelko.   1985.  Approaches  to Risk Assessment
    of Chemical  Mixtures.  In: F. Homburqer and  J.K.  Marquis, eds. Chemi-
    cal  Safety Regulation ana1 Compliance: Proceedings of a course  held  In
    Cambridge, MA. October 24-25, 1983.  Basel,  Switzerland:  S. Karger,
    AG.
16. Stara,  J.F.. 0. Kello and P.  R. Durkln.  1980.  Human health hazards
    associated with chemical  contamination  of aquatic environment. Envi-
    ronmental Health Perspectives, 34:  145-168.
17. U.S. EPA, 1980.  Guidelines and Methodology  used  In  preparation of
    health  effects assessment chapters  of the consent decree water criteria
    documents.  Federal Register  45:  79347, Nov. 28,  1980.
18. U.S. EPA, 1985.  Proposed guidelines  for  the health  risk assessment
    of chemical  mixtures.  Office of  Health and  Environmental Assessment,
    Environmental Criteria and Assessment Office.  Federal Register 50:
    1170. January 9, 1985.
19. U.S. EPA, 1985.  Guidelines for the health risk assessment of  chemical
    mixtures. Office of Health and Environmental  Assessment, Environmental
    Criteria and Assessment  Office, Draft.
20. WHO (World Health Organization).   1981.  Health effects  of combined ex-
    posures  In the work environment.   WHO Tech.  Rept. Series No. 662.
       Dose-Response Analysis of Heavy Metal Toxicants in Man:
              Direct In vivo Assessment of Body Burden
                        Kenneth J. Ellis, Ph.D.
                        Medical Research Center
                    Brookhaven National Laboratory
                          Upton, N.y.   11973
                                 ASS TRACT

          Differences In uptake, metabolism, and excretion of heavy
     metal a makes selection of a suitable biological Media aa a
     monitor of body burden very difficult.   Exposure assessments
     based on body fluid levels can provide, at best, only general
     population estimates.  The most frequently monitored Media are
     blood, urine, nail or hair clippings, sweat,  and saliva.
     Unfortunately each of these tissues can be Influenced by
     recent exposure conditions and are not  accurate Indices  of the
     total dose or body burden.  Direct in rtro measurements  of
     body burden In humans, however, have recently been performed.
     This nuclear technique has focused on the measurements of
     kidney and liver cadmluai  (Cd) by neutron activation analyala
     and bone lead (Pb) determination* using x-ray fluorescence.
     The dose-response relationship for renal dysfunction based on
     the direct In vivo body burden for Cd Is presented.  The most
     probable Cd ralue for the kidney associated with renal Impair-
     ment Is approximately 35 ng.  Approximately 10Z of thesubjecta
     with 20 ng Cd In the kidney will have moderately elevated
     p2-«'croglobulIn, an early Indicator of porentlal renal
     functional changes.

                               INTRODUCTION

     There Is llttlt doubt that significant  adverse  health effccta  are
evident for high exposures to heavy metals (16,21,28).   Animal studies
have usually been the source of this Information.   In many caaes these
studies have been performed In animal species pre-selected for their
enhanced response to a particular adverse effect,  independent of the
expoaure agent.  The doses used In toxlcologlcal studies may  be much
higher than those observed even in the cost  significant of industrial
expoaures or accidents.   Extrapolation of these experimental  findings to
humans, therefore, becomes difficult.  Nuch  less Is  even known about  the
effects of low level chronic exposure or "envlrcReental" expoaure to
heavy metals.
     Two basic parameters,  however, must be  obtained in order to
Investigate dose-response or dose-effect retstlonshlps.   These are  (1) an
adequate quantification of the true dose and (2) Identification of  the
biological response.   The second requirement has generally received the
most research effort.   Measurements of the adverse effects following an
exposure can be performed without knowing the body burden or  true dose to
the target organ.   Subtle physiological and  biochemical  changes,
previously undetected,  are becoming apparent as more sophisticated

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