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BEHAVIORAL PHARMACOLOGY
Research Service, Department of Veterans Affairs, Ralph H. Johnson Medical Center, Charleston, South Carolina (H.C.B.); and Charleston Alcohol Research Center, Center for Drug and Alcohol Programs, Medical University of South Carolina, Charleston, South Carolina (H.C.B., A.M.B.)
Received June 1, 2006; accepted August 14, 2006.
| Abstract |
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In preclinical studies, the discriminative stimulus effects of ethanol have been well established in several animal species and under a variety of experimental conditions (Grant, 1999
; Shelton and Grant, 2002
; Hodge et al., 2006
). The interoceptive cue associated with ethanol is complex, dependent on both dose and timing (Schechter, 1989
; Grant and Colombo, 1992
; Grant et al., 1997
; Quertemont et al., 2003
), and mediated by central mechanisms involving several neurochemical systems (Hodge and Cox, 1998
; Hodge et al., 2001
; Besheer et al., 2003
). Although ethanol discriminability has been noted to be rather stable over time (i.e., stable stimulus control of responding over many discrimination training and testing sessions), a few studies in rats (Emmett-Oglesby, 1990
; Lytle et al., 1994
) and mice (Middaugh et al., 2003
) have demonstrated reduced sensitivity to the discriminative cue of ethanol following chronic ethanol consumption. We recently demonstrated reduced sensitivity (tolerance) to the discriminative stimulus effects of ethanol following chronic exposure to the drug in C57BL/6J mice (Crissman et al., 2004
). A key procedural feature of these studies is that chronic ethanol exposure was administered outside the context of discrimination training and testing. Likewise, tolerance to the discriminative stimulus effects of other drugs, such as opiates, stimulants, and depressants, has been demonstrated when chronic exposure to the drugs was administered while discrimination training was suspended (Young, 1991
).
Although the relationship between the discriminative stimulus effects of ethanol and its reinforcing effects is not entirely clear (Duka et al., 1999
), this issue is of clinical relevance since an alteration in ethanol discriminability resulting from chronic ethanol exposure may have a significant influence on propensity to drink. That is, reduced ability to detect or perceive subjective (intoxicating) effects of ethanol may lead (contribute) to motivation for continued ethanol consumption. The present study was conducted to further explore the apparent tolerance effect observed in our initial findings using C57BL/6J mice (Crissman et al., 2004
), by examining whether the amount (duration) and/or pattern (intermittent or continuous) of chronic ethanol exposure influences subsequent sensitivity to the discriminative cue of ethanol.
We previously demonstrated that an intermittent pattern of chronic ethanol exposure, which involves repeated episodes of withdrawal, results in progressive intensification of numerous withdrawal symptoms, including several measures of seizure activity, anxiety, and stress (Becker, 1999
; Veatch and Becker, 2002
). This sensitization or "kindling" of ethanol withdrawal has been suggested to contribute to the problem of relapse and perpetuation of excessive drinking in dependent subjects. Indeed, our ethanol dependence model has been shown to subsequently enhance voluntary ethanol self-administration behavior (Becker and Lopez, 2004
), and the development of this effect was accelerated when the chronic ethanol exposure was delivered in an intermittent, as opposed to a continuous, manner (Lopez and Becker, 2005
). Based on these findings, it was hypothesized that tolerance to the discriminative stimulus effects of ethanol would not only increase as a function of the duration of chronic ethanol exposure but also the magnitude of the tolerance effect would be greater when the chronic ethanol exposure is delivered in an intermittent rather than continuous pattern. The present study was designed to systematically vary the duration and pattern of chronic ethanol exposure to address this issue. In addition, tolerance to the discriminative cue of ethanol was assessed at two time points (16 and 24 h) following chronic ethanol exposure to examine temporal parameters of the phenomenon.
| Materials and Methods |
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Apparatus. Mice were trained and tested in six standard operant chambers (16 x 15 x 12.5 cm), each enclosed in ventilated and sound-attenuating cubicles (modular mouse chamber model ENV-307; MED Associates, St. Albans, VT). The operant chambers were equipped with two retractable levers, and a centrally located food-trough (equidistant from both levers) was programmed to dispense one 20-mg food pellet (P.J. Noyes, Lancaster, NH) when schedule requirements were met. Stimulus lights were located above each lever, and a house light was located on the opposite wall. A microcomputer-based MED Associates interface and operating system was used to record responses and control schedule contingencies.
Study Design and General Procedure. The general study design entailed first establishing accurate ethanol discrimination performance, followed by generation of a baseline ethanol dose-response function through generalization testing (see below). Mice were then assigned to chronic ethanol and control groups and treated as described below. Discrimination training sessions were suspended during chronic ethanol (and control) treatments. After various chronic ethanol treatment regimens, ethanol discriminability was reassessed in ethanol-exposed and control groups using the same generalization testing procedures used to establish the baseline ethanol dose-response function.
The ethanol-exposed animals were further separated into two groups based on the pattern of chronic exposure. One group (MW group) received chronic intermittent ethanol exposure (with multiple intervening periods of withdrawal), whereas the remaining mice (CE group) received the same total amount of ethanol exposure but in a continuous manner. The number of cycles (intermittent exposure) and duration (continuous exposure) was systematically increased but designed to equate total amount of ethanol exposure for MW and CE conditions. That is, MW mice received one, two, three, or four cycles of 16-h exposure to ethanol vapor in inhalation chambers (described below), with each cycle separated by an 8-h period of withdrawal (MWx1, MWx2, MWx3, and MWx4 conditions, respectively). In contrast, CE mice were exposed to 16-, 32-, 48-, or 64-h ethanol vapor with no interruption (CE/16, CE/32, CE/48, and CE/64 conditions, respectively). A separate group of animals served as controls (CTL group) and received similar handling as MW and CE groups but it did not receive chronic ethanol vapor exposure.
At a time corresponding to 24 h following final withdrawal from each of the treatment conditions, MW, CE, and CTL groups were retested to determine a new ethanol dose-response function. To examine whether testing at an earlier time point might influence the tolerance effect, a select number of CTL and ethanol-exposed groups (MWx2 versus CE/32 and MWx4 versus CE/64) also were tested 16 h after withdrawal from the inhalation chambers. After each of the generalization testing sessions, all mice received discrimination training sessions to ensure that criterion-level discrimination performance was maintained before the next chronic ethanol (or air) exposure treatment condition. Thus, a minimum of eight training sessions (saline versus 1.5 g/kg ethanol) separated generalization testing and the next chronic ethanol (or air) treatment condition. Generalization tests following chronic ethanol (or control) treatment were conducted in ascending order with respect to number of cycles/duration of exposure (i.e., CTL, MWx1, CE/16; CTL, MWx2, CE/32; CTL, MWx3, CE/48; and CTL, MWx4, CE/64). Generalization tests at the 24-h time point were conducted before testing at the 16-h time point.
Discrimination Training. Mice were initially trained to alternate daily between the two available response levers under a fixed ratio (FR)-1 schedule of reinforcement during 15-min sessions. The reinforcement contingency was increased incrementally to an FR-20 schedule, i.e., every 20th response was reinforced. Once stable (unbiased) lever responding under this schedule was established, mice were trained to discriminate ethanol (1.5 g/kg) from 0.9% saline. Ethanol or saline injections were administered i.p. and at 5 min before the 15-min operant sessions. For each mouse, one lever was designated the vehicle lever and the other designated the drug lever. The mice were trained 5 days a week, receiving the training drug or vehicle according to a predetermined schedule (which stipulated that animals did not receive the same treatment more than 2 days in a row). A performance criterion of 85% treatment-appropriate responding for 8 of 10 consecutive sessions, with no more than four incorrect responses before 20 responses were made on the treatment-appropriate lever, was used to indicate successful discrimination training.
Generalization Testing Procedure. A cumulative dosing procedure was used for generalization testing, similar to that described previously (Crissman et al., 2004
). This allowed for the generation of a full ethanol dose-response curve within a single session both before (baseline) and after the various chronic ethanol exposure treatments (tolerance testing). The cumulative dosing procedure involved sequential administration of saline, 0.5, 0.5, 0.5, 0.5, and 0.5 g/kg ethanol (i.p.), which corresponded to cumulative doses of 0, 0.5, 1.0, 1.5, 2.0, and 2.5 g/kg ethanol. The 2-min test sessions were initiated 5 min after each injection, during which responding was reinforced (FR-20) on either lever.
Chronic Ethanol Administration. Ethanol was administered by the inhalation route, described previously (Becker and Lopez, 2004
). In brief, mice were placed in Plexiglas inhalation chambers (60 x 36 x 60 cm), with the housing conditions identical to those in the colony room. Ethanol (95%) was volatilized by passing air through an air stone (gas diffuser) submerged in the ethanol. The ethanol vapor was mixed with fresh air and delivered to the chambers at a rate of 5 l/min, which maintained the ethanol concentration in the chamber in the range of 19 to 22 mg/l ethanol and yielded blood ethanol concentrations (BECs) in the range of 150 to 200 mg/dl.
At the beginning of each 16-h exposure period (5:00 P.M.), intoxication was initiated in the MW group by administration of ethanol [1.6 g/kg; 8% (w/v)] along with the alcohol dehydrogenase inhibitor pyrazole (1.0 mmol/kg) to stabilize blood ethanol levels. Both drugs were injected i.p. in a volume of 0.02 ml/g body weight. The CE group received an injection of ethanol (1.6 g/kg) upon entry into the inhalation chamber, and pyrazole injections at the same time as the corresponding MW condition (every 24 h) to maintain stable BEC. The CTL group mice were treated similarly as the CE group mice, but they were given an injection of pyrazole along with saline (rather than ethanol) and maintained in control (air) chambers. In this way, all mice received similar handling, with the number and timing of pyrazole injections equated across groups (but dependent on the number of cycles (MW group) and duration (CE and CTL groups) of inhalation exposure). Immediately following final removal from the inhalation chambers, blood samples were collected from all mice and subsequently analyzed for blood ethanol content.
Ethanol Samples and Measurement. Chamber ethanol concentration was monitored daily (at 9:00 AM). Air samples (2 ml) were collected with a syringe through a port in the inhalation chamber wall. The samples were then transferred to Venoject tubes (Terumo, Leuwen, Belgium) for later analysis using an enzymatic spectrophotometric assay procedure described previously (Becker and Lopez, 2004
). Ethanol concentration in the chambers is expressed as milligrams per liter of air.
Blood samples were collected from the retro-orbital sinus with heparinized capillary tubes. The samples were centrifuged for phase separation, and 5 µl of plasma was injected into an Analox Instrument analyzer (Lunenburg, MA). Blood ethanol concentration (expressed as milligrams per deciliter) was recorded by measuring oxygen uptake generated by the oxidation of ethanol to acetaldehyde and hydrogen peroxide by ethanol oxidase.
Data Analysis. Results from generalization tests are expressed as mean percentage of total responses on the ethanol-appropriate lever (ethanol-appropriate responses/total session responses) and response rates (total session responses per minute). Discrimination data collected at the 24- and 16-h time points were analyzed separately. Data from dose-response curves were subjected to nonlinear regression analysis (SPSS 12.0, nonlinear regression and constrained nonlinear regression; SPSS Inc., Chicago, IL) fitting a two-parameter (ED50 and slope) logistic function. Differences between curves were assessed by residual F-tests. Potency ratio analyses were conducted to compare determined ED50 values for the control conditions with corresponding treatment groups (MW and CE conditions). Initial analysis showed no evidence for differences in slopes and that parameter was shared across curves in all analyses. Because analysis of curves (and ED50 values) for the CTL group revealed no significant difference across the different generalization test sessions, these data were combined to determine an overall ED50 value for the CTL condition. This was used in separate analyses to evaluate the effects of increasing the number of chronic ethanol cycles in the MW condition and the effects of increasing the duration of exposure in the CE condition (with Bonferroni-corrected tests for multiple comparisons). Comparison of ED50 values generated from similar treatment groups determined at 24- versus 16-h time points was analyzed by residual F-tests. Response rate data were analyzed by two-way analyses of variance, with treatment group as a between-subjects factor and ethanol dose as a repeated measure. Post hoc comparisons were performed using Tukey's honestly significant difference test, when appropriate.
| Results |
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Generalization Testing at 24 h following Chronic Ethanol Treatment. In all cases, chronic ethanol exposure, whether delivered in a continuous (CE groups) or intermittent (MW groups) manner, resulted in a significant shift to the right in the ethanol dose-response function 24 h after removal from the inhalation chambers (Fig. 1). Potency ratio analyses indicated significant 1.5- to 2-fold increases in the calculated ED50 values for all MW and CE groups compared with the CTL groups (all F > 35.0; all p < 0.001). Nonlinear regression analyses also revealed significantly greater shifts to the right in the ethanol dose-response curves for CE/32 and CE/48 groups compared with the corresponding MWx2 and MWx3 groups (p < 0.05) (Fig. 1, B and C).
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Generalization Testing at 16 h following Chronic Ethanol Treatment. Exposure to two or four cycles of 16-h ethanol treatment (MWx2 and MWx4 groups, respectively) as well as 32- or 64-h continuous ethanol exposure (CE/32 and CE/64 groups, respectively) produced robust shifts to the right in the ethanol dose-response function compared with controls when testing was conducted 16 h after the chronic treatment regimen (Fig. 2). Potency ratio analyses indicated significant 2.5- to 3-fold increases in the calculated ED50 values for both MW and CE conditions compared with the CTL groups (all F > 45.0; all p < 0.001). Nonlinear regression analyses also revealed significantly greater shifts to the right in the ethanol dose-response curves for MWx2 and MWx4 groups compared with the corresponding CE/32 and CE/64 groups (all p < 0.05) (Fig. 2, A and B).
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Analysis of response rates revealed a significant group x dose interaction [F(10,130) = 3.92; p < 0.0001], with significantly lower rates of responding in MWx2 mice compared with CE/32 and CTL mice at all doses except 2.5 g/kg, and the CE/32 group responding at a lower rate than CTL at the 0.5, 1.0, and 1.5 g/kg test doses (p < 0.05) (Fig. 2A). Likewise, a significant group x dose interaction [F(2,26) = 25.26; p < 0.001] indicated both MWx4 and CE/64 groups exhibited significantly lower rates of responding in comparison with the CTL group across all doses, and the MWx4 group registered lower response rates compared with CE/64 mice at the saline and 0.5 g/kg test doses (all p < 0.05) (Fig. 2B).
Effect of Increasing Cycles and Duration of Chronic Ethanol Treatment. A summary of mean ED50 values derived from ethanol dose-response functions generated from generalization testing at 24 or 16 h following exposure to air (CTL group), or chronic ethanol exposure delivered in an intermittent (MW group) or continuous (CE group) manner, is presented in Table 1. Analysis of MW groups revealed a significant main effect of cycles [F(4,46) = 143.78; p < 0.001], indicating significantly greater ED50 values generated 24 h following exposure to one, two, three, or four cycles of 16-h ethanol vapor in comparison with controls (all p < 0.01). Post hoc tests also indicated that experience with four cycles of chronic ethanol exposure (MWx4 group) yielded a significantly greater ED50 value compared with all other MW groups (all p < 0.01). Analysis of CE groups indicated that the rightward shift in dose-response functions determined 24 h after varying durations of chronic ethanol exposure produced significantly higher ED50 values in comparison with the CTL group [F(4,46) = 136.94; p < 0.001]. Post hoc tests indicated that exposure to 32-, 48-, and 64-h ethanol exposure yielded significantly higher ED50 values in comparison with the CE/16 condition (all p < 0.01), whereas CE/32, CE48, and CE64 groups did not differ from one another (Table 1).
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A similar pattern of results was obtained from analysis of generalization testing data determined 16 h following MW treatment [F(2,22) = 113.33; p < 0.001] and CE treatment [F(2,22) = 58.57; p < 0.001] (Table 1). Post hoc analyses revealed that ED50 values were significantly higher for the MWx4 group compared with the MWx2 group, with both groups producing significantly higher ED50 values that the CTL condition (all p < 0.01). Likewise, both CE/32 and CE/64 groups produced significantly greater ED50 values in comparison with the CTL group (all p < 0.0.01), but there was no significant difference between CE/32 and CE/64 groups.
For each of the experimental conditions tested at both 16 h and 24 h following chronic ethanol treatment, ED50 values generated at 16 h after withdrawal were significantly greater than those determined from generalization testing that was conducted 24 h following chronic ethanol exposure (Table 1). This impression was supported by analysis of MW groups [F(1,10) = 135.57; p < 0.001 and F(1,10) = 42.84; p < 0.001 for MWx2 and MWx4 groups, respectively], and CE groups [F(1,10) = 31.70; p < 0.05 and F(1,10) = 5.53; p < 0.05 for CE/32 and CE/64 groups, respectively].
Blood Ethanol Concentrations following Chronic Ethanol Vapor Exposure. Blood ethanol levels determined immediately upon removal from the inhalation chambers did not significantly differ among MW and CE conditions that were tested at the 24-h time point [F(1,7) = 1.62; p > 0.14] or the 16-h time point [F(1,3) = 2.11; p > 0.11] (Table 2).
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| Discussion |
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Although increasing the total amount of chronic ethanol exposure generally increased the magnitude of tolerance to the discriminative cue of ethanol, the effect was influenced by the pattern in which the chronic ethanol was delivered (continuous versus intermittent). When generalization testing was conducted 24 h following inhalation treatment, the rightward shift in ethanol dose-response curves was greater after an intermediate amount of chronic ethanol vapor exposure (32 and 48 h) was delivered in a continuous rather than intermittent manner (Fig. 1; Table 1). However, when generalization testing was conducted at 16 h following inhalation treatment, the rightward shift in ethanol dose-response curves was significantly greater in mice that were exposed to chronic ethanol vapor in an intermittent compared with a continuous manner (Fig. 2; Table 1). Thus, both total amount (duration) and the pattern of chronic ethanol exposure seem to influence subsequent sensitivity to the discriminative cue of ethanol, with the relative magnitude of the tolerance effect varying as a function of when generalization testing is conducted.
It is unclear why the tolerance effect was generally greater in MW compared with CE groups at 16 h, but the opposite relationship was sometimes observed when testing was conducted 24 h following inhalation treatment. There is some evidence indicating that the pattern of chronic ethanol treatment can influence the development, expression, and retention of tolerance to various physiological and behavioral effects of ethanol. For example, in some cases discontinuous (intermittent or spaced) ethanol treatment resulted in more accelerated tolerance development and faster loss of tolerance in comparison with when ethanol was delivered in a more continuous (or massed) manner (Maier and Pohorecky, 1987
; Pohorecky and Roberts, 1991
; Holloway et al., 1992
). In a similar vein, results from this study suggest that chronic intermittent ethanol exposure in comparison with continuous exposure may produce greater tolerance to the discriminative cue of ethanol when the effect is assessed at earlier time points following the chronic treatment, with the effect dissipating at a faster rate. Future studies will need to examine additional time points to more fully characterize both the time course and manner in which the pattern of chronic ethanol treatment influences tolerance to the discriminative effects of ethanol.
It is possible that some degree of tolerance developed even before chronic exposure to ethanol vapor in inhalation chambers as a function of discrimination training, which involved repeated administration of the 1.5 g/kg ethanol training dose. Although we did not directly test this (comparing repeated generalization tests during the course of training), repeated generalization testing in CTL mice consistently yielded similar ethanol dose-response curves. Furthermore, the corresponding calculated ED50 values did not significantly differ from that generated at baseline. In addition, these ED50 values are very similar to that determined in our previous work with C57BL/6J mice and a 1.5 g/kg ethanol training dose (Becker et al., 2004
). It should be noted that in the present study, all shifts in the ethanol dose-response functions for ethanol-exposed mice (MW and CE groups) were analyzed relative to the CTL condition, which did not differ from baseline generalization testing.
Although sensitivity to the ethanol cue was blunted in both MW and CE conditions following varying amounts of ethanol vapor exposure in comparison with controls, this apparent tolerance to the discriminative cue of ethanol was overcome by higher test doses of ethanol. That is, although the rightward shift in ethanol dose-response curves indicated higher doses of ethanol were required for MW and CE mice to detect the ethanol cue, accurate discrimination performance was achieved with the highest (2.5 g/kg) dose of ethanol for all groups. Analysis of response rate data indicated a general decrease as the test dose of ethanol increased and as the amount of chronic ethanol exposure increased. However, because reduced responding did not systematically vary between MW and CE conditions and all groups exhibited accurate discrimination at the highest ethanol test dose, the tolerance effect does not seem to be attributable to changes in general operant performance.
In the present study, discrimination training was suspended during the period of chronic ethanol treatment in inhalation chambers. Thus, decrements in discrimination performance exhibited by MW and CE groups might be related to this delay in testing. However, as indicated above, all groups demonstrated the ability to accurately perform the discrimination task when challenged with a sufficiently high enough dose of ethanol. This was true for the longest interval of time between testing (24 h after 64 h of continuous or intermittent chronic ethanol exposure). Furthermore, generalization testing in CTL mice revealed discrimination performance that did not significantly differ from that established during baseline, suggesting that reduced sensitivity to the ethanol cue in ethanol-exposed groups could not be due simply to the experimentally imposed hiatus in discrimination testing. In addition, saline administration (as part of the cumulative dosing procedure) did not generalize to the ethanol cue whether testing was conducted 16 or 24 h following inhalation treatment, indicating that there was no residual ethanol from chronic treatment that may have influenced (contaminated) discrimination performance. Finally, blood ethanol levels resulting from chronic ethanol treatment were similar for all groups before testing (Table 2). Thus, it is highly unlikely that changes in discrimination performance in MW and CE groups could be attributed to differences in level of intoxication even across increasing amounts (cycles/duration) of exposure.
There has been some controversy as to whether tolerance truly develops to the discriminative stimulus properties of drugs (Young, 1991
; Colpaert, 1999
). On the one hand, discrimination performance for a wide range of drugs has been noted to be very stable even over prolonged periods of training and testing. This is certainly supported by results from this study where repeated generalization testing yielded similar ethanol dose-response curves in CTL mice over a period of about 6 months. Furthermore, little or no tolerance has been reported to drug discriminative cues when chronic treatment with the drug was administered concurrent with discrimination training sessions (Sannerud and Griffiths, 1993
; Young et al., 1996
). However, when discrimination training is suspended during chronic drug treatment, tolerance has been demonstrated for a variety of drugs, including benzodiazepines (Sannerud and Griffiths, 1993
), opiates (Young et al., 1996
; Walker et al., 1997
; Bespaloz et al., 1999
), psychomotor stimulants (Woods and Emmett-Oglesby, 1986
; Young et al., 1992
), and cannabinoids (Wiley et al., 1993
). Results from the present study and other previous reports (Emmett-Oglesby, 1990
; Lytle et al., 1994
; Middaugh et al., 2003
; Crissman et al., 2004
) indicate that similar effects are observed for ethanol. Shifts to the right in dose-response curves have been interpreted as reflecting reduced capacity to detect the discriminative cue of the drug following chronic treatment.
A possible explanation for the demonstrated tolerance to the discriminative cue of ethanol following chronic treatment with the drug may relate to the emergence of distinct interoceptive cues associated with rebound or withdrawal from chronic ethanol exposure. These rebound or withdrawal-related cues may serve to counteract or reduce sensitivity to the discriminative stimulus effects of the drug itself. Drug rebound stimulus effects have been demonstrated for several substances, including chlordiazepoxide, amphetamine, and nicotine (Barrett et al., 2001
, 2004
; Barrett and Smith, 2005
). Likewise, distinct rebound-like cues associated with ethanol withdrawal have been demonstrated under a number of experimental conditions (Lal et al., 1988
; Gauvin et al., 1992
, 1993
). This may be especially relevant in the present study because we have shown that withdrawal effects not only increase with amount of chronic ethanol exposure but also become sensitized over repeated withdrawal episodes (Becker, 1999
). The noted decreased response rates during generalization testing in the present study, even after saline administration, might reflect withdrawal-related disruption in operant performance. Moreover, decreased responding was most evident in the MW group when generalization testing was conducted at 16 h following chronic treatment. This corresponds to the time when tolerance to the discriminative stimulus effects of ethanol was most robust. Thus, the emergence of interoceptive cues associated with ethanol withdrawal may have played a contributing role in the observed reduced sensitivity to the cue of ethanol following chronic treatment with the drug.
Regardless of the mechanism underlying the observed tolerance effect, altered sensitivity to the subjective (discriminative) cues associated with ethanol following chronic treatment with the drug may have significant clinical implications. Although the relationship between the discriminative stimulus properties of ethanol and its reinforcing effects are not entirely clear (Duka et al., 1999
), altered perception of the subjective effects of ethanol may influence motivation to continue drinking in individuals with a history of heavy consumption. In this vein, it is interesting that using the same chronic ethanol exposure model, we have reported enhanced voluntary ethanol self-administration behavior in mice following chronic intermittent ethanol exposure (Becker and Lopez, 2004
; Lopez and Becker, 2005
). Thus, reduced ability to detect or perceive the intoxicating effects of ethanol may lead (contribute) to increased ethanol consumption, with excessive intake ultimately resulting in full-blown relapse to uncontrollable drinking. In support of this notion, there are some clinical studies that indicate reduced capacity to detect (discriminate) internal cues associated with ethanol intoxication in individuals that are heavy drinkers (Schuckit and Klein, 1991
; Hiltunen, 1997
; Jackson et al., 2001
). Future studies will need to further explore the potential relationship between blunted sensitivity to ethanol cues and enhanced propensity to self-administer the drug that result from a history of chronic ethanol exposure/drinking.
| Acknowledgements |
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| Footnotes |
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Article, publication date, and citation information can be found at http://jpet.aspetjournals.org.
ABBREVIATIONS: MW, multiple intervening periods of withdrawal; CE, continuous ethanol; CTL, control; FR, fixed ratio; BEC, blood ethanol concentration.
Address correspondence to: Dr. Howard C. Becker, Charleston Alcohol Research Center, Center for Drug and Alcohol Programs, Medical University of South Carolina, 67 President St., P.O. Box 250861, Charleston, SC 29425. E-mail: beckerh{at}musc.edu
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