Reevaluation of the Fundament Dose-Response Relationship A new databasesuggests that the U-shaped,ratherthan the sigmoidal, curvepredominates EdwardJ. CalabreseandLindaA. Baldwin The shapeof the dose-response curve for toxic substances has been the topic of an enormous debate that began several decades ago and continues today (Calabrese 1978). The argument centers on whether there is a threshold below which no adverse effects would be expected or whether the dose-response relationship is linear, with risk being proportional to dose (Bingham 1971, Hatch 1971, 1972, Oser 1971, Dinman 1972, Stokinger 1972, Stopps 1974, Albert and Altshuler 1976). The principal public health implication is that if a threshold response were assumed to exist, exposures below that level would be safe (i.e., no effect). However, if there were no thresholds of response, then the potential for a risk could be expected regardless of how low the exposures were. Despite the apparently striking differences between these two competing theories of dose-response relationships, both have become accepted within the scientific and regulatory communities. The threshold theory has been principally applied to assessing risk from exposure whereas the to noncarcinogens, EdwardJ. Calabrese(e-mail:edwardc@ schoolph.umass.edu) is a professor of Toxicology and Linda A. Baldwin (email: [email protected])is a research associate in the Department of Environmental Health Sciences, School of Public Health and Health Sciences at the University of Massachusetts, Amherst, MA 01002. ? 1999 AmericanInstituteof BiologicalSciences. September1999 The U-shaped response in toxicological and pharmacological experiments is highly generalizable, being independent of phylum, chemical class, and biological endpoint nonthreshold (i.e., linear) approach has been used for carcinogens. Consequently, with respect to carcinogens, the issue of what is an acceptable risk has arisen because the linear approach assumes the potential for risk at all exposures, and zero exposure is not possible to achieve. The problem with such risk estimations, especially for carcinogens, is that they are typically based on the effects of exposing animals (usually rodents) to very high doses of the compounds, often four to five orders of magnitude beyond normal human experience, with the results then being extrapolated via one of a variety to biomathematical models to low doses estimated to cause risks in the one-in-a-million zone (Calabrese 1978, 1983). This exercise of estimating human responses from rodent models is not inappropriate in theory because animal models may provide acceptable qualitative predictions of human responses. How- ever, regulatory agencies such as the Environmental Protection Agency (EPA) and the Food and Drug Administration have used the animal studies and biostatistical models to provide apparent estimates of human risk even though the predictions are essentially unverifiable, often inconsistent with human experience, and extremely costly to implement within risk management decisions. As this brief synopsis of the risk assessment dilemma since the 1970s indicates, it has become necessary to better understand how biological systems respond to low levels of a wide range of carcinogenic and noncarcinogenic stressor agents. Although this reexamination of the biological effects of low-level exposures to chemicals and radiation has taken many forms, one unmistakable conclusion is that most, if not all, biological systems have both constitutive and inducible adaptive response mechanisms that help to defend the organism from a wide range of stressor agents. These adaptive response mechanisms include, for example, stress protein responses, DNA repair mechanisms, and cell and tissue repair mechanisms (Hart and Frome 1996). It is further known that it is the interplay of these adaptive mechanisms with external stressor agents that determines the shape of the doseresponse curve. That is, individuals or species with limited adaptive capacities succumb to lower doses of stressor agents than organisms or species with better adaptive mechanisms. Thus, adaptive mechanisms help account for both inter-individual 725 University of California Press is collaborating with JSTOR to digitize, preserve, and extend access to BioScience ® www.jstor.org Figure 1. U-shaped dose-response curves. (a)Generalformof a Ushaped dose-response curveshowingresponse relative to a reference level (i.e., control value),with a regionof apparentimprovement (e.g., reductionin dysfunction) as well as a region of toxic or adverseeffects.(b) Reciprocal of the samecurve showinga regionof apparent enhancement (e.g., increase above normal level of function) as well as a region of toxic or adverseeffects. From Davis and Svendsgaard(1992). SI I (a) •- O - R - -- - REFERENCE LEVEL / - -D C 2 ADVERSE EFFECTS APPARENT IMPROVEMENT 0 20 40 60 80 100 Dose Dose I . I I I o. DOSE REGIONOF APPARENT ENHANCEMENT "II_ DOSE REGION OF ADVERSE EFFECTS C and interspecies variation in response to a toxic substances. it is also S0 However, to -•U important recognize that adaptive responses may be affected by the dose of the stressor agents. For example, high ( (b) doses of stressor agents may saturate 0 20 40 100 60 80 normal detoxificaDose tion pathways, making them at least temporarily nonfunctional. Furthermore, over a broad range of doses. Accordmost biological systems operate within ing to this evolutionary expectation an optimal zone of responsiveness, (Parsons in press), the shape of the typically at low levels of exposure, dose-response curve would be either that is maintained by an integrated a U or an inverted U, depending on series of biochemical pathways. the biological response measured It is within this concept of under- (Figure 1). For example, when the standing how organisms respond to response refers to endpoints such as low-level stressor agents and what growth, longevity, and fecundity, the roles constitutive and inducible de- dose-response curve displays a stimufense mechanisms play that a new lation or increase in response at low theory of the dose-response relation- doses compared to the control, folship has emerged that challenges and lowed by inhibition of the stimuenhances both the linear and thresh- lated response at higher doses (i.e., old theories of dose-response rela- the shape of the dose-response curve tionships. From careful reexamination is an inverted U; Figure ib). When of current theories of organismal, the response at low doses is to diminphysiological, cellular, and molecu- ish effects such as mutations, backlar defense mechanisms has emerged ground cancer, or disease incidence the evolutionary expectation that compared to the control, then the dose-response relationships should dose-response curve is U-shaped neither be simply linear nor show a (Figure la). threshold effect but should rather At low levels of biological stress, reflect the underlying capacity for organisms would be expected not systems to adapt to the effects of only to repair limited stressor-inphysical and chemical stressor agents duced damage, but also to modestly 0 D= SI Il I lI ai 726 i . I overcompensate such repair activities, thereby assuring adequate repair until homeostasis is reestablished. During this modest overcompensation response phase, the organism would not only eliminate the low-level stress-induced damage but also reduce background stress or damage more effectively than before stressor exposure. At the low end of the doseresponse curve, therefore, a dip below that of the controls (i.e., a net reduction in damage below that in the unexposed control) would be observed. However, as the dose increases, it would eventually reach a level at which the capacity to overcompensate would be overwhelmed, and net toxicity would ensue (i.e., a response threshold would be exceeded). This modest overcompensation response should be observed with both carcinogens and noncarcinogens. In this article, we use the term hormesis (from the Greek word "to excite") to refer to the phenomenon of stimulatory effects observed at low doses of toxic substances. These low-dose stimulatory effects (i.e., hormesis) should not be confused with the physiological and biochemical mechanisms that may account for the phenomenon (e.g., the adaptive and homeostatic mechanisms described above). In this article, we present evidence of U-shaped dose-response relationships. We then reevaluate the fundamental dose-response relationship within the context of U-shaped doseresponse curves. Finally, we discuss the impact of implementing changes in how society and the scientific community regard the phenomenon of hormesis. U-shaped dose-response curves U-shaped dose-response relationships at low doses have often been reported in the peer-reviewed literature. Numerous well-designed and replicable findings of such responses were reported in the late nineteenth and early twentieth centuries by highly respected researchers (for review, see Calabrese and Baldwin 1999a). However, some early and influential advocates of the U-shaped dose-response theory became closely linked with the proponents of the BioScience Vol. 49 No. 9 medical practice of homeopathy; as a result, the theory became more of an attempt to explain the actions of homeopathic therapiesthan a broad biological hypothesis. In fact, although the original scientific credit for reportingsuchlow-dose U-shaped responses goes to Hugo Schulz, of the University of Greifswald, Germany, in the late 1880s, Schulz also created a major problem for the broad acceptance of his theory by becomingclosely associated with the homeopathic physician Rudolph Arndt in proclaiming that his findingsprovidedhomeopathy'sexplanatory principle (i.e., that any disease state can be correctedby vanishingly small doses of substances that at higher doses produce symptoms of the disease). The U-shaped dose-response theory soon became known as the Arndt-Schulz Law. However, because of its association with homeopathy, the Arndt-SchulzLaw came under serious attack by dominant medically oriented scientists (Clark 1937) and suffered the same fate as homeopathy in the early twentieth century-that is, it became a highly marginalized and often discredited theory. In addition, there was difficulty in replicating the reported Ushaped responses because of the modest nature of the response and weaknessesin the study designs (e.g., inadequate numbers of doses tested and inadequate sample sizes). The combination of weak response and poor study design did not bode well for a fledgling theory whose practical relevance was not clear. However, because the issue of low-dose exposure has come to dominate current risk assessment practices, understanding the nature of the hormesis phenomenon is a matter of when low-dose responsesof a "paradoxical" naturewere observedin the target organisms of the toxin (i.e., low doses produced a response opposite of that produced by higher doses), attention was quickly reoriented to high-dose issues of obvious practicality. In fact, even though nearlyall majormicrobiologicaltexts of the mid-twentieth century (Salle 1939, Clifton 1957, Thimann 1963, Lamanna and Mallette 1965) acknowledged the fact that low doses of disinfectants stimulated the growth of bacteria, the emphasis remained on the "real" issue of defining the bacteriostatic and bacteriocidal effects observed at high disinfectant doses. Despite numerous challenges and the lack of broad acceptance of the Arndt-SchulzLaw,investigatorscontinued to report U-shaped dose responses, and by 1943 mycologists at the University of Idaho, unaware of the Arndt-SchulzLaw, identifiedthe same phenomenon and renamed it "hormesis" (Southam and Erhlich 1943). To this day, both terms are used interchangeablyto describe Ushapeddose responses.However, because of the close association of modern toxicology with traditional medicine, and because of the extremehistoricaltension betweentraditional medicine and homeopathy, the Arndt-SchulzLaw/hormesisphenomenon has never achieved recognition and legitimate biological hypothesis status despite its occasional support by noteworthy individuals (Luckey1980, 1991, Stebbing1981, Sugaharaet al. 1992, Kondo 1993). Perhapsthe most importantphilosophical concept emergingfrom the study of the historical foundations of hormesis is how a phenomenon substantially initiated by powerful considerable importance. Acceptance of the Arndt-Schulz Law was also hindered by the fact that toxicology of the first half of the twentieth century focused predominately on high-dose phenomena. In fact, toxicology continues to focus on high doses even as we approach the twenty-first century! In the early twentieth century, for example, research involving microbial disinfection and pest eradication centered on the application of high doses to achieve these desired goals. Even leaders in the field, including several Nobel prize winners and their students, with consistent data replication, could have become marginalized within the scientific community. Although the reasons for this marginalized status are complex, involving political, social, scientific, and personal factors, the fact that it occurred in open Western scientific society should raise great concern over the process by which scientific research is conducted and reported (for a detailed review of the histori- September1999 cal foundations of hormesis and its marginalization, see Calabrese and Baldwin 1999a, 1999b). Creationof an hormesisdatabase In 1996, we set forth to comprehensively evaluatethe hormesisphenomenon-that is, to determinewhether the fundamental dose response includes a U shapeat the low end of the dose-response curve-via the use of rigorous, a priori objective criteria that included information on study design, magnitude of response, statistical significance, and reproducibility of findings (Calabrese and Baldwin 1997). To date, we have evaluated several thousand articles that addresslow-dose effects of various chemicals and have found more than 1300 that display hormesis according to our criteria. Of particular note is the finding that the U-shaped response in toxicological and pharmacological experiments is highly generalizable, being independent of phylum, chemical class, and biological endpoint (Figure 2). Hormetic effects are seen in organisms from bacteria to humans and are caused by a vast array of chemicals, including relatively innocuous agents as well as some highly toxic substances (e.g., heavy metals such as lead, cadmium, and mercury,and unintended industrial byproducts, such as dioxin). The range of endpoints affected is also extensive and includes growth, a wide variety of behaviors (e.g., learning, eating, and survival), longevity, reproduction, and incidence of birth defects and diseases such as cancer. Figure 2 shows some examples of dose-response relationships that are consistent with the hormesis phenomenon; these examples were selected to demonstrate broad-based generalizability of the phenomenon. However, the application of the quantitative scoring system (i.e., the criteria described in Calabrese and Baldwin 1997, which assign a score that shows the degree to which the data conform to the U-shaped doseresponse curve based on study design, response, and reproducibility criteria) to these 24 examples reveal that only one (Figure 2a) received a high evidence score. Of the rest, one 727 160 140 a (P < 0.01) * 140 -- -- -- 8------- 8 100 g so 4020 S 80 60 control :60 0 002 2.SX10-62.5X10-4o1 2.5X10-S 0o0025 I 0.25 o 0.3 1212 37.8 252 VANADIUM+ FISH GROWTHb 0 - I I 0.041 0.17 0.48 - 10 - -207 16 + 1- 115 40-BENZENE OAT GROWTH -20. 0 1-16.1 7 -18.4 -49 1-1 '.5 1 -69 -13.8 -9.2 -5.3 Benzene (LN dilution) S 160 140 - 6 - - ---- 3- -4.6 -3 PENICILLIN+ BACTERIALGROWTH 0.001 1 0.004 1 0.008 -3.9 0 0.02 0 01 0-006 Penicillin (units/ml) 0.002 5 50- 40 MERCURY+ FUNGI GERMINATION g ~. 15 60 125 250 500 Phenobarbital (ppm in diet) 30 2 32 50 120 5100 -y--- ____ -------- Control S80c 6060- Control c 0.0250 1 25 0 B 40- 101 0.05 0.25 CADMIUM+ ANNELID REPRODUCTION 20 1 215 101 50 5 25 100 a. 00 0.1 0.5 1 2.5 Cadmium (mg/L) 2,4-D (ppm) 140 (P a 0.05) 10 1.4-Dioxane (M/kg) h ' 0 RAT LIVERDNA DAControl 0 0.05 2.4-D + OYSTER GROWTH 0 0.003 0.009 0.037 0.15 0.6 2.375 9.375 Mercury concentration (ppm) 8o 7.5 0.04 0.03 8 (D 0- 4 2 S40 200 2150 80 140 1 8 8o S100 0 -- c 120 S40 20 ------- C 160 so o 120100 (P<0.05) 0 0' 80 (P not reported) -c -- 140e c lOO Control -- -- - 0 1.5 2 120 120 * Z- 50- 160 d 140 E 8 .960- . - Vanadium (mg/L) 16o 240 b I Phosfon (nM) 1 ?150:H 0-0Control 10 "1oo 0 6.3 -- -- -- ---- Control 3 40 ? 20 S20 PEPPERMINT PLANT GROWTH 0 (P<0.05) 5 10 200 - k 150 e- so Control 51100 40 .O O PHENOBARBITAL+ RAT ALTERED HEPATIC FOCI 200 :120 co 250 - (P = 0.05) ,120 • 40 0 O. 0 5 15 10 20 25 Effluent concentration (%) 30 Control os-so 050+ CRUDE OILEXTRACT + FLUORIDE E AMPHIPOD FECUNDITY CYANOBACTERIA PHOTOSYNTHESIS z 0 FERTILIZERFACTORY EFFLUENT + i ALGAE GROWTH 20 - S120P 0 0 20 40 75 Crude oil extract (%) 80 100 1.5 1.9 2.5 3.8 4.6 5.5 5.6 Fluoride (mg/L) 6.9 9 9.2 Figure2. Representativeexamplesof dose-responsecurveswith the scoresand evidenceof hormesis.Data from:(a) Calabreseand Brown 1994, (g) Nutman and Roberts1962, (h) Davis and Hidu 1969, (i) Reish and Carr1978, (j)Joy 1990, (k) Gaurand Singh (q) Laughlinet al. 1989, (r)Morse and Zareh 1991, (s) Broerseet al. 1982, (t) Parsons1981, (u) Stebbing1981, (v) Liuet al. 1987, of statistialsignificance;absenceof statisticalsignificancedenotesstudiesthat did not performstatisticalanalyseson theirdata,with (Figure 2c) received a moderate to high score, two (Figures 2g and 2o) received a moderate score, eight received a low to moderate score (Figures 2d, 2e, 2h, 21, 2p, 2v, 2w, and 2x), and 12 received a low score (Figures 2b, 2f, 2i, 2j, 2k, 2m, 2n, 2q, 2r, 2s, 2t, and 2u). Overall, our assessment of the characteristics of the U-shaped doseresponse relationship indicates considerable range and diversity with 728 respect to patterns of the stimulatory dose, magnitude of stimulatory response, and relationship of the maximum stimulatory response to the "no observedadverseeffectlevel" (NOAEL; Calabrese and Baldwin 1998a). Many U-shaped dose-response relationshipsconform to a Ushaped curve displaying a 10- to 20fold stimulatory range, a maximum stimulatoryresponsethat is 30-60% greaterthan the control, and a maxi- mum stimulatoryresponseoccurring at a dose four- to fivefold below the NOAEL. However, other U-shaped dose-responserelationshipsarestrikingly different (Calabreseand Baldwin 1998a). For example, in some cases the rangeof stimulation is over several orders of magnitude of dose, and the maximum stimulatory response approaches 10-fold. Recognition that U-shaped dose-response curves can vary widely suggests that BioScience Vol. 49 No. 9 160 140 - 140 8 120 ae Z- 10 160 -- Control ----- - - - -- - 8 120 OR10 E (P < 0.05) * 140 - -- 540 it 40 S 0 + SACCHARIN RATTUMORS 3 20 m 40 DIELDRIN+ o 20A 0- COTTON STAINER SURVIVAL 01 0 0.05 0.5 Saccharin(%diet) 5 0 0.2 0.4 0.6 0.8 1 3 Dieldrin(ugrindividual) 6 8 0 160 05 140 1 Cadmium(ppb) 5 10 (P =0.1) 140 r 150 8100 100-- -----------------.-5o 50 00 - -------- 1 80 - 80 Control S40oC TRIBUTYLTIN+ 20 d40c q CLAMSURVIVAL 0- 11 2.5 X-ray dose (Gy) absorbeddose X-ray +Gy)absorbed 10 o 5 7.5 Tributyltin (ug/L). 10 ......- ------- 40 S c 20S - ----_------- Control S80 80- 40 0 - - -0'100 Control S80so 40 37.4 120 --- 60) .c 8.47 t ----u 00100 Control 80 2.86 160 140 -- 1.17 Dicofol(g/100 L) S120 120 100 CITRUSTHRIPFECUNDITY 0 160 NEUTRONS + RATMAMMARY CARCINOMAS DICOFOL + S 20 0 0 a 140 Control : ETHANOL+ 20 - FRUITFLYLONGEVITY 40 COPPER + HYDRAREPRODUCTION S20o _0 0 0 0.05 0.2 Neutronsabsorbed dose (Gy) 200 < (P 0.05) 0.8 8 150 1 3 1.5 6 0 1 S120 - 100 Control c 80 - 6 50 X-RAYS + $ MOUSESPLENOCYTE IMMUNE RESPONSE 25 -Control so- E : 40- Control 15 140 ----------- -- 10 + (P < 0.05) 160 SW 80 5 Copper(ug/L) (P < 0.05) * 140 120 100 .r 0.5 Ethanolconcentration(%) V . 0 40- + DIMETHOATE MITEFECUNDITY SODIUMARSENITE+ HUMANKERATINOCYTE PROLIFERATION a'. 20 0- 0 0 0.025 0.05 0.075 X-raydose (Gy) 0.1 0.25 0 0.001 0.002 0.005 0.01 Sodiumarsenite (uM) 0 0.33 0.48 0.23 Dimethoate(mg/kgsoil) 0.7 Howe 1976, (b) Holdway and Sprague1979, (c) Kitanoet al. 1998, (d) BerandMoskwa 1951, (e) Milleret al. 1945, (f) Kitchenand 1990, (1)Connelland Airey1982, (m)Downs and Frankowski1982, (n) Hodjat 1971, (o) Bodaret al. 1988, (p) Broerseet al. 1982, (w) Germolecet al. 1996, and (x) Folker-Hansenet al. 1996. Theasterisksindicatestatisticallysignificantdata;P valuesindicatelevel the exception of (f), in which the lowest responsewas not statisticallydifferentfrom the control. the area of hormetic dose-response relationships, including their possible risk assessment implications, is considerably more complex than previously assumed. Although many types of endpoints have been assessed in the hormesis database, two that are of broad interest are effects on reproductive processes and cancer. A substantial body of work indicates that both endpoints display apparent hormetic September 1999 relationships.With respect to reproduction, evidence of chemical hormesis was observed in experiments with arachnids (mites; Hueck et al. 1952, Rodriguez et al. 1957, Folker-Hansen et al. 1996), crustaceans (daphnids; Elnabarawy et al. 1986, Bodar et al. 1988), insects (Johansson 1947, Kuenen 1958, Sutherlandet al. 1967, Hodjat 1971, Gordon and McEwen 1984, Lowery and Sears 1986a, 1986b, Morse and Zareh 1991), hydrozoans (hydra; Browne and Davis 1977, Stebbing 1981), annelids (polychaete worms; Reish and Carr 1978), and rodents (Daston et al. 1991, Calabrese and Baldwin 1993). The range of endpoints showing low-dose enhancement typically included offspring number, egg production, basal follicle number, maternal weight, implant number, and live fetuses per litter. Examples of hormetic effects 729 in these studies have been reported most often with heavy metals, insecticides, and radiation. Recognition of the occurrence of low-dose stimulation of reproductive output may be useful for providing insight into the cause of insect outbreaks. Ecologists and applied entomologists have long recognized that insect outbreaks often occur after pesticide applications. Although these outbreaks have often been attributed to elimination of predator or competitive species, field and laboratory data support the hypothesis that hormetic-like physiological stimulation is responsible (Morse 1998). When hormesis as a concept is viewed not simply in biological terms, the question of whether it is beneficial or not is often contextual. For example, in the case above, hormesis would be beneficial to the insects (i.e., increased fecundity) but harmful to the plants damaged by the insects. The extension of the hormetic phenomenon into the field of carcinogenesis has also been explored (Calabrese and Baldwin 1998b). In the case of cancer, hormesis is reflected by a decrease in disease incidence at low doses compared to the control (or background) incidence. This reduced response can be seen only in studies of animal models that exhibit a relatively high background incidence of cancer, which provides the possibility of observing a response that is less than the control response (e.g., see Figures 2c, 2f, 2m, 2p, and 2s). Recently, we have identified a number of investigations that provide evidence of hormesis for various stages (i.e., initiation, promotion, and progression) of the process of carcinogenesis (Calabrese and Baldwin 1998b). Such examples include studies assessing the effects of chemicals (e.g., dioxin; Kociba et al. 1978) and radiation (Broerse et al. 1978, 1982, 1987) on mammary tumors in selected rat strains, the effects of hydrocarbons on pulmonary tumors in mice (O'Gara et al. 1965, Nesnow et al. 1994, Prahalad et al. 1997), and the effects of heavy metals (e.g., cadmium) on testicular cancer in rats (Waalkes et al. 1988). The key feature in all such studies is the need for a high background tumor incidence and a study design suffi730 ciently powerful to permit the hormetic hypothesis to be assessed. Nevertheless, the search for experimental studies that assess the relationship of hormesis to carcinogenesis is difficult, principally because assessing hormetic responses has not been the explicit goal of the investigators. In fact, of the nearly two dozen articles in our database that display evidence of hormesis in animal cancer studies, none was derived from investigator hypotheses to evaluate whether the dose-response relationship for various carcinogenesis endpoints displayed hormesis. Hormesis was posited only once the investigation had reached the interpretative phase. Even though evidence of hormesis in assessing carcinogenesis has been based on the study of animals with high background incidences of cancer, there is no reason to believe that the mechanisms accounting for the hormesis phenomenon occur only when the control incidence is elevated. The possibility that hormesis also occurs in strains with low background incidence of cancer is of great significance because such strains are often used in dose-response studies. In cases in which the controls display low or no disease incidence, it is not possible to detect low-dose reductions in the endpoint measured (e.g., cancer incidence) compared to the control. At low doses, the disease incidence will be similar to the control incidence, and a change in the dose-response relationship will not be apparent until an increased incidence is observed at a higher dose (i.e., the dose-response curve will exhibit a threshold response). Adaptive mechanisms (e.g., DNA repair) may still be induced (i.e., stimulated) by low doses, but they will be unable to be reflected as a reduction in disease incidence. observed. In fact, as important as it is to identify examples of the hormesis phenomenon, it is equally important to understand the basis for why hormesis may not be observed. Examining both questions is necessary if hormesis is to be applied in testing protocols or exploited in matters related to system optimization or therapeutics. One reason for the absence of hormesis, as discussed above, is the use of controls that display a negligible cancer or disease incidence background response, which prevents the detection of a reduction in this incidence. Other principal reasons for the absence of evidence for hormesis are inadequate study design, including either insufficient doses and/or dose spacing in the lowdose zone; selection of an endpoint that has high background variability along with a modest low-dose stimulation; lack of measurements over time, preventing documentation of the process of initial disruption in homeostasis, the overcompensation response, and the subsequent reestablishment of homeostasis; and differential capacities of biological systems to display hormesis, which can affect the maximum response. In fact, a principal methodological reason for the limited impact of hormesis on the field of toxicology is the inadequate number of low doses in study designs. The ultimate goal of the hazard assessment protocols of US regulatory agencies is to define the NOAEL, which essentially specifies the transition between no effect and toxicity and therefore provides an estimate of the threshold. However, the key issue in hormesis is that there is significant biological activity below the traditional NOAEL. Why hormesis is not always seen While hormesis remains to be accepted as a credible phenomenon in the toxicology community, the availability of the extensive hormesis database and the broadening experimental and general scientific interest in low-dose effects are likely to have a significant impact on how hormesis is regarded. If the hormesis phenomenon continues to receive serious attention, it will have the capacity to Even though we have carried out a comprehensive search of the toxicological and pharmacological literature for examples of hormesis and have found this phenomenon to be quite common and broadly generalizable, there are numerous instances in which evidence of hormesis is not Societal significance of hormesis BioScience Vol. 49 No. 9 affect many aspects of toxicology, regulatory science, and risk assessment. Although it may be premature to focus extensively on the implications of hormesis, a brief listing is worthwhile. * How chemicals and drugs are evaluated may have to be changed. Emphasis on high-dose response analyses would have to be expanded to include the lower-dose (i.e., subNOAEL) region. * How risk is estimated will need to be improved and made more realistic. The hormesis phenomenon suggests that current procedures used by regulatory agencies to estimate the risks of both carcinogens and noncarcinogens need considerable modification and perhaps significant overhauling. * Risk communication practices would need to recognize the improvement in scientists' understanding of the dose-response relationship. Such recognition of the acceptance of hormesis is likely to be quite challenging for regulatory and public health agencies because their past and current approaches for assessing risks would need to be changed. * The health criteria for all current environmental standards may need to be reassessed in light of the hormesis phenomenon. * The implications for hazardous waste cleanup are likely to be affected by the acceptance of the hormetic hypothesis. In most cases, the hormesis phenomenon is likely to conclude that the prior risks were substantially overestimated. 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