Abstract
Introduction
Prior research indicates methylphenidate (MPH) and alcohol (ethanol, EtOH) interact to significantly affect responses humans and mice. The present studies tested the hypothesis that MPH and EtOH interact to potentiate ethanol-related behaviors in mice.
Methods
We used several behavioral tasks including: drug discrimination in MPH-trained and EtOH-trained mice, conditioned place preference (CPP), rota-rod and the parallel rod apparatus. We also used gas chromatographic methods to measure brain tissue levels of EtOH and the d and l isomers of MPH and the metabolite, ethylphenidate (EPH).
Results
In discrimination, EtOH (1g/kg) produced a significant leftward shift in the MPH generalization curve (1-2mg/kg) for MPH-trained mice, but no effects of MPH (0.625-1.25mg/kg) on EtOH discrimination in EtOH-trained mice (0-2.5g/kg) were observed. In CPP, the MPH (1.25mg/kg) and EtOH (1.75g/kg) combination significantly increased time on the drug paired side compared to vehicle (30.7%), but this was similar to MPH (28.8%) and EtOH (33.6%). Footslip errors measured in a parallel rod apparatus indicated that the drug combination was very ataxic, with footslips increasing 29.5% compared to EtOH. Finally, brain EtOH concentrations were not altered by 1.75g/kg EtOH combined with 1.25mg/kg MPH. However, EtOH significantly increased d-MPH and l-EPH without changing l-MPH brain concentrations.
Conclusions
The enhanced behavioral effects when EtOH is combined with MPH are likely due to the selective increase in brain d-MPH concentrations. These studies are consistent with observations in humans of increased interoceptive awareness of the drug combination and provide new clinical perspectives regarding enhanced ataxic effects of this drug combination.
Keywords: psychostimulant, methylphenidate, ethanol, interoceptive, reinforcement, ataxia, mouse, drug-drug interaction
Introduction
Alcohol drinking commonly occurs with the use of other drugs and evidence indicates that psychostimulants such as methylphenidate (MPH) are extensively used/misused with alcohol (ethanol, EtOH) (Barrett et al. 2006; Martin 2008; McCabe et al. 2006). In fact, MPH has been reported to be the most common prescription stimulant used for nonmedical purposes in a national survey (Kroutil et al. 2006). The combination of MPH and EtOH has been reported in the context of abuse or misuse (Barrett et al. 2002; Darredeau et al. 2007; Markowitz et al. 1999) and epidemiology studies routinely report co-abuse of stimulants and EtOH in adolescents and young adults (Godfrey 2009; Hasin et al. 2007; Johnston et al. 2008; Mallonee et al. 2005; McCabe et al. 2004; Teter et al. 2006). MPH abuse appears to be in part driven by the belief that Attention-Deficit/Hyperactivity Disorder (ADHD) stimulant medications permit the consumption of more EtOH, thus facilitating late-night partying [see (Godfrey 2009)]. Additionally, the combination of MPH and EtOH can be an important consideration in patients with ADHD since the use of MPH in patients of legal drinking age has substantially risen as a consequence of the increasing recognition that ADHD commonly persists into adulthood (Biederman et al. 2005; Biederman et al. 2002). It is noteworthy that approximately one third of prescribed ADHD medications are to individuals at least 20 years of age, with the most common prescriptions being the racemic form of MPH (i.e., the 50:50 dl-isomeric mixture)(Okie 2006). Evidence has emerged that the co-ingestion of EtOH and MPH is associated with both pharmacokinetic and pharmacoynamic drug-drug interactions in humans. The interaction of MPH and EtOH involves unique stereochemical considerations. In a normal volunteer study of men and women, it was established that concentrations of the pharmacologically active d-isomer of MPH were significantly elevated when combined with EtOH. Further, the mean plasma l-MPH concentrations were elevated 3-fold when dosing with a typical therapeutic dose of dl-MPH and an EtOH drink (0.6 g/Kg) (Patrick et al. 2007). Additionally, the combination of MPH and EtOH leads to the production of the EtOH transesterification metabolite, ethylphenidate (EPH), in humans (Markowitz et al. 2000; Patrick et al. 2007; Zhu et al. 2011a), enantioselectively forming the pharmacologically inactive l-isomer of EPH (Patrick et al. 2007; Patrick et al. 2005).
The pharmacologically active d-isomer of EPH is only detected in the picogram/ml range in humans after a therapeutic MPH dose and standard EtOH drink (Patrick et al. 2007), but could possibly be more important in overdose situations when higher levels of both drugs are present (Markowitz et al. 1999). Behaviorally, it was also established that the MPH and EtOH combination interacted to increase self-reports of positive subjective effects, e.g., feel “good”, “like”, “stimulated” and “high” in normal subject volunteers (Patrick et al. 2007). The increased subjective pleasure of the drug combination is consistent with other studies using survey methodology (Barrett et al. 2002), and since both MPH and EtOH have abuse potential in their own right, the increased self-reported pleasure with the drug combination carries a heightened risk of abuse liability. The increased self-reports of pleasurable feelings obviously point to the possibility of enhanced reinforcing effects of the drug combination but could also simply indicate increased interoceptive awareness of the discriminative stimulus effects of the drugs consistent with “feel any drug effect.” Our data indicate that either interpretation could be explained by increases in the circulating concentrations of the active d-isomer of MPH (Patrick et al. 2007).
In several previous studies, we have used the inbred strain of C57BL/6J (B6) mice to investigate the pharmacological and pharmacokinetic interactions of the MPH and EtOH combination. We found that concomitant MPH and EtOH significantly stimulates locomotor activity more than administration of either drug alone (Bell et al. 2011a; Bell et al. 2011b; Griffin et al. 2010). Further, like in humans, we have also shown that B6 mice biotransform MPH and EtOH to EPH following either intraperitoneal (ip) (Williard et al. 2007), oral or transdermal administration (Bell et al. 2011a; Bell et al. 2011b). Accordingly, this particular mouse strain exhibits certain pharmacological effects which appropriately model humans in investigating MPH-EtOH interactions in vivo. In the present series of studies, we examined the effects of the drug combination in several behavioral tests and also examined the enantioselective aspects associated with this drug interaction as possible pertinent to the mechanisms underlying influences of EtOH on MPH behavioral effects. As with the human studies, we hypothesized that the combination of MPH and EtOH potentiates behavioral responses which occur as EtOH increases the central nervous system availability of the d-isomer of MPH.
Materials and Methods
Subjects
Adult male C57BL/6J mice were used in these experiments (Jackson Laboratories, Bar Harbor, ME). Mice arrived at 8-9 weeks of age and acclimated at least 1 week before beginning studies. All mice were singly housed under standard conditions (12h light cycle) in a AAALAC accredited facility with free access to food and water, except that some mice were food restricted as noted below. The use of specific groups of mice is detailed in Table 1. All procedures were approved by the Medical University of South Carolina Institutional Animal Care and Use Committee.
Table 1.
Group | N | Procedures | |||
---|---|---|---|---|---|
1 | 16 | MPH Discrimination | |||
2 | 24 | EtOH Discrimination | |||
3 | 40 | Locomotor Activity | |||
4 | 40 | Place Preference 1 | Footslip 1 | ||
5 | 48 | Place Preference 2 | Rota-Rod | Footslip 2 | Drug Concentrations |
Drugs
Drugs were given by the intraperitoneal (ip) route using 0.9% saline as the vehicle at a volume of 0.02ml/g of body weight in all experiments. d,l-MPH was used as the HCl salt obtained from Sigma-Aldrich Inc (Saint Louis, MO) and 95% ethanol was obtained from AAPER (Shelbyville, KY). Before use, the ethanol was diluted with 0.9% saline [12.2% (v/v) for a 1.75 g/kg dose, and 6.6% (v/v) for a 1 g/kg dose]. When combined, MPH and EtOH were co-administered in the same ip injection.
MPH Discrimination apparatus and procedures
The apparatus and procedures used to train and test mice on MPH discrimination have been recently described (McGovern et al. 2011). Briefly, behaviorally naive mice (n=16) were food-restricted to 85% of their free-feeding body weight and given their daily food ration 2-3 hr after completing behavioral procedures. Injections of 5mg/kg MPH or vehicle were given 15 min before entry to the chamber. Reinforcement was 0.1 ml sucrose (5% w/v in tap water). The mice were trained using the same schedule previously described (McGovern et al. 2011) but modified so mice experienced as many as 3 training sessions per day as described by (Schechter 1988). Based on the schedule, mice could have three sessions in the same day if the training order for the next three sessions was Vehicle/Vehicle/MPH. Alternatively, if the first daily session was scheduled to be MPH, the mice would have only one session that day. Thus, a vehicle training session never followed an MPH session. Training continued until mice demonstrated >80% overall responding on the drug-paired lever and >80% responding when completing the first fixed ratio (FFR) for 3 consecutive sessions. Once acquisition criteria were met, mice were tested in a single 2 min session under extinction conditions (McGovern et al. 2011) and the following day, returned to training until at least 3 consecutive sessions of criterion performance were reached prior to another test.
EtOH discrimination apparatus and procedures
The apparatus and procedures used to train and test mice on the ability to distinguish EtOH (1.5 g/kg) from vehicle has been described (Becker et al. 2006; Crissman et al. 2004). Briefly, behaviorally naïve mice (n=24) were food restricted to 85% of their free-feeding body weight and given food rations several hr after completing daily sessions. Reinforcement was a 20 mg food pellet (BioServ, #F0163). In this study, mice were trained only one session per day. Training continued in this manner until mice demonstrated >80% overall responding on the drug-paired lever and >80% when completing the first fixed ratio (FFR) for 8 out of 10 sessions. Once acquisition criteria were met, mice were tested with and without MPH using a cumulative EtOH dosing procedure. Briefly, mice were injected with vehicle and 5 min later placed in the operant chamber for a 2 min test with no reinforcement for responses. The first test was followed rapidly by 5 additional 2 min tests each occurring 5 min after an EtOH injection of 0.5 g/kg, producing a total cumulative dose of 2.5 g/kg. Thus, including vehicle injection, each mouse had a series of 6 tests within 45 min in the context of increasing blood EtOH concentrations (Becker et al. 2006; Crissman et al. 2004). When MPH was included with the EtOH injection, the amount included produced a total cumulative dose of either 0.625 or 1.25 mg/kg. The blood levels of MPH for this procedure were not empirically determined, but the half-life of MPH (3mg/kg orally) in B6C3F1 mice has been reported to be 1.1 hr (Manjanatha et al. 2008). Therefore, over the 45 min testing procedure, it was assumed that the cumulative dosing procedure produced comparable systemic concentrations as a single bolus dose of MPH.
Locomotor activity apparatus and procedures
The apparatus for measuring locomotor activity was a Digiscan Animal Activity Monitor (Accuscan Instruments, Columbus, OH) (Griffin et al. 2010). Briefly, behaviorally naive mice (n=44) were habituated to the procedure by injecting them with vehicle for 2 consecutive days and then returned to their home cage for a latency period of 5 min. After 5 min in their home cage, the mice were placed into the activity chamber for 15 min. On the third consecutive day, the same procedure was repeated but mice were divided into 4 groups and injected as follows: VEH, MPH 1.25 mg/kg, EtOH 1 g/kg and the combination of MPH 1.25 mg/kg + EtOH 1 g/kg. Horizontal and vertical beam breaks were the primary dependent variables.
Conditioned place preference (CPP) apparatus and procedures
The Med Associates (St. Albans, VT, USA) apparatus consisted of 6 activity chambers (ENV-510) equipped with two compartment place preference inserts (ENV-512). The walls of the inserts are made of plastic and the floor on one side of stainless steel wire mesh (6x6mm) and the other side, parallel rods (3mm radius, 8mm center to center spacing). Each side of the insert was 13cm wide × 24cm long × 15cm deep. Each CPP chamber was contained within a sound attenuating cabinet (ENV-022MD-027) equipped with fans and lights turned on every session. Data were collected by computer using 2 sets of photobeams (ENV-256T), one set positioned 1 cm above the floor to capture horizontal activity and another set positioned 5 cm above the floor to capture vertical activity (rearing behavior). For these studies, the dependent variable used was time spent on the drug paired side.
There were two CPP experiments in which behaviorally naïve mice were similarly handled and assigned to one of four groups: VEH, MPH 1.25 mg/kg, EtOH 1.75 g/kg, and the combination of MPH 1.25 mg/kg + EtOH 1.75 g/kg. This dose of EtOH readily produces place preference after 16 sessions (Nocjar et al. 1999) and also increases locomotor activity in B6 mice (Middaugh 1992) which can be potentiated by the 1.25 mg/kg dose of MPH (Griffin et al. 2010). Briefly, mice were given a Pre-Test and two Post-tests, the first post-test occurred after 8 conditioning sessions (Test 1) and the second occurred after 16 conditioning sessions (Test 2). Mice were initially placed in the apparatus for the Pre-Test and data from this session (time on either side) were used to balance the groups for the remainder of the study. Drug/Vehicle conditioning sessions commenced 24hrs later with 8 conditioning sessions prior to Test 1 and 8 additional sessions prior to Test 2 for a total of 16 sessions (8 vehicle, 8 drug-paired sessions). Conditioning sessions were 10 min and the Pre-Test, Test 1 and Test 2 were 15 min in duration. Drug- and Vehicle-Injected subjects were counter-balanced across the contextual cues on either side of the CPP insert, with injections given 5 min prior to chamber placement. Further, vehicle injections were given 5 min before the Pre-Test, Test 1 and Test 2 so that t Testing for each Pre-Test was conducted under drug-free conditions with all mice receiving vehicle injections 5-min prior to the test. Two tests were used in these experiments because of the possibility that the addition of MPH to EtOH reinforcement could reduce the number of sessions from 16 that was previously reported (Nocjar et al. 1999). The experiments were conducted Monday through Friday with no events on Saturday or Sunday.
The two CPP experiments differed according to the characteristics of the CPP insert providing contextual cues for conditioning and the side-bias exhibited by the mice. For the first CPP experiment shown in Figure 3A, the place preference inserts provided by the manufacturer (rod vs wire-mesh floors, see above). When introduced to these inserts, mice showed a clear preference for the mesh side over the parallel rods. Therefore, all mice were conditioned to the parallel bar side, consistent with our previous reports using a different apparatus that promoted a side bias by the mice (Nocjar et al. 1999; Szumlinski et al. 2002). As described more fully in the Results section, significant ataxia was observed in the EtOH and EtOH+MPH treated mice while exposed to the parallel rods in the apparatus. Thus, for the second CPP experiment (Figure 3B) the inserts were modified so that the floor was the same on each side and the walls and floor were white on one side and black on the other, creating distinct visual contexts (Cunningham et al. 2007; Cunningham et al. 2006). This done by cutting heavy paper stock (B221, Smooth Black Berkshire Matboard, Crescent, Inc) to fit exactly to the exposed areas on the exterior walls and floors of the activity chambers and was visible through the clear plastic walls of the insert. The floor covers were the same material but covered with clear plastic sheet protectors (Chrystar, No. 41102, Samsill, Fort Worth, TX) secured on the underside with tape. These modifications reduced side bias by the mice (see results), although there was a slight tendency for mice to prefer the black side. Because of the relatively unbiased preference, half the mice in each group were conditioned to the black side and the other half of the mice were conditioned to the white side.
Footslip apparatus and procedures
For these studies, we used the CPP insert (ENV-512) described above and confined the mice to the parallel bar side. Mice were placed into the inserts, 5 min after the appropriate drug injection according to group assignment and footslips recorded for 2 min. Footslips were defined as any hindfoot or forefoot slip between the parallel bars of the floor. In the first footslip experiment, the data were collected by simple observation in real time while the CPP insert remained inside the apparatus with the doors to the sound attenuating chamber open for observation. The mice used in this experiment had been used in the CPP experiment 1 and were administered drug according their group assignment in that experiment. For second footslip experiment (Figure 4) the place preference insert was set up on a laboratory bench under ambient lighting conditions in a quiet room. A video camera was positioned next to the insert to record each session from the side and footslips were counted later by a blinded observer. The mice used in this study (Figure 4) were from CPP experiment 2 and the rota-rod test (see below) and were administered drug according to their original assignment.
Rota-Rod performance
A rota-rod from UgoBasile (Model 47600) was used. Mice were acclimated to the device one time and tested 24 hours later. On acclimation day, mice were administered vehicle, rested in the home cage for 5 min and then placed on the rota-rod for a 5 min session with the rotation speed at 4 RPM. Testing used the same procedure except mice were administered drug solutions according to previous group assignment. Additionally, during testing the rotation speed advanced from 4 to 40 RPM over the 5 min test. The test ended when the mouse fell and stopped the timer. The time on the rod and the final rotation speed were recorded.
Tissue collection for measurement of brain EtOH, MPH and EPH concentrations
Immediately following the 2 min footslip observations shown in Figure 5, mice were rapidly and deeply anesthetized with isoflurane (>15%) in a bell jar. After checking reflexes, the brain was extracted and cut into left and right hemispheres, including the cerebellum and brainstem. A small piece of cortex was removed from the left hemisphere (14-16mg), placed in a tared vial and 50 volumes ice-cold deionized water was added according to weight. Lastly, both hemispheres were placed separately into tared, glass scintillation vials, the weights recorded and then frozen immediately in dry ice. The entire tissue extraction procedure was completed within 3 min for each mouse. The small tissue sample for EtOH determination was stored at −20°C and the hemispheres were stored at −80°C until analysis.
Brain EtOH concentrations
Brain samples were thawed and homogenized by brief sonication and 10 μl was placed into a 6 ml headspace vial. The concentrations of EtOH in brain tissue were determined using headspace gas chromatography (GC) with flame-ionization detection (FID) and extrapolation from standards prepared using untreated brain tissue spiked with known amounts of EtOH. The instrument was a Shimadzu Model GC2010 Gas Chromatograph equipped with a Model AOC 5000 headspace autosampler. The carrier gas was helium (215.7 ml/min; total pressure 84.6) combined with a mixture of air (400 ml/min) and hydrogen (40ml/min) for sample combustion. The vial containing the sample was heated to 60°C for 5 min and than 2 ml of headspace withdrawn and injected into the instrument. EtOH was separated from the sample using a 30 meter × 0.53 μmHP-FFAP column and eluted in 1 min. The limit of detection is 0.032 mM EtOH.
Enantiospecific brain MPH and EPH concentrations
We have developed methods to enantiospecifically quantify concentrations of the d- and l-isomers of MPH and the d- and l-isomers of its transesterification metabolite, EPH, from a variety of biological matrices (LeVasseur et al. 2008; Patrick et al. 2007; Zhu et al. 2011a). The brain tissue extraction procedures for MPH and EPH have been described recently (Bell et al. 2011a; Bell et al. 2011b) as well as the gas chromatography-mass spectrometric analyses.
Data Analysis
Comparison of group means was by Student’s T-test or ANOVA as appropriate. For data sets with repeated measures (e.g. CPP experiments), we used a mixed model analysis with Group as the between subjects factor and Time as a repeated measure. The mixed model analysis used a heterogeneous first-order autoregressive covariance structure. To analyze the effects of EtOH or MPH on generalization curves for the training drug in drug discrimination experiments, we compared generalization curves using a residual f-test in a constrained non-linear regression. Maximum responses were constrained to be less than or equal to 100 and minimum response set to a constant of 0. A fit in which all parameters (logistic slope, maximum response, and ED50) were shared was compared with a fit in which only the logistic slope was shared. All analyses were conducted in IBM®SPSS® Statistics Version 19 (IBM Corp, Armonk, NY) with alpha set to 0.05.
Results
Methylphenidate (MPH) Discrimination
As in an earlier report (McGovern et al. 2011), most mice (11 of 16) acquired the MPH discrimination task and accurately discriminated the training dose of MPH (5 mg/kg) from vehicle. The 4 mice that never met acquisition criterion were excluded from further analysis. Interestingly, an additional 4 of the remaining 11 mice, required that the training dose to be lowered (2.5 mg/kg) in order to meet MPH discrimination criteria and were also excluded from the final analysis. The remaining 7 mice were used to examine the interactive effects of MPH and EtOH and required 20 ± 2.59 sessions to meet criteria for discrimination, Although the number of sessions to meet discrimination criteria is consistent with our previous report (McGovern et al. 2011), the duration of the experiment was shorter because multiple training sessions/day.
The discrimination tests were restricted to one on a given day. Interestingly, the drug combination significantly reduced response rates, particularly when combining 1 g/kg EtOH with MPH at doses of 3.5 mg/kg and greater. In fact, some mice made fewer than the 15 lever responses required for reinforcement on the FR15 during training. Because the discrimination training sessions required 15 responses on the correct lever to earn food-pellet reinforcement, mice that did not meet this learning criteria during the test were eliminated from the study. This resulted in the following group sizes for EtOH + MPH test sessions: 0mg/kg (6), 1 mg/kg (7), 2mg/kg (4), 3.5 mg/kg (3), 5 mg/kg (3). Three additional mice were excluded for low response rates with the MPH alone conditions at the highest dose (7.5 mg/kg).
As shown in Figure 1A, EtOH administration with increasing doses of MPH produced a clear leftward shift in the generalization curve compared to administration of MPH alone. Data for the two MPH generalization curves were compared with constrained non-linear curve fitting Which indicated a strong overall difference between the curves [residual F-test, F (2,54)=11.39, p<.001]. Since slopes and maxima were the same in the two conditions, the data were modeled again with the curve in the presence of EtOH as a parallel shifted version of the MPH only curve. EtOH produced a significant 1.73 ± 0.06-fold shift in the curve. These analyses confirm that EtOH produced a significant leftward shift in the MPH generalization curve in Figure 1A.
Response rates for the mice included in the above analysis for Figure 1A are summarized in Figure 1B and differed according to whether EtOH was included with MPH as indicated by significant factor interaction [F (4, 51) = 3.224, p = 0.02]. Post-hoc analysis indicated that response rates for the three lowest doses of MPH (0, 1 and 2 mg/kg) were significantly lower when combined with EtOH (1 g/kg) than when given alone (*p<0.05). Collectively, these results indicate that EtOH interacts with MPH to significantly increase MPH discrimination at doses lower than the training dose, but this comes at the expense of reduced response rates.
EtOH Discrimination
All 24 mice in the experiment met criterion-level discrimination responding on the EtOH-paired lever within 30 sessions. When given alone in a cumulative dose of 2.5 g/kg, EtOH produced a dose-dependent increase in responses on the EtOH-paired lever, indicating the mice clearly discriminated EtOH from vehicle. The inclusion of MPH with EtOH produced no effect on the EtOH-generalization curve. Further, when given only MPH the mice responded almost exclusively on the vehicle-paired lever. The absence of MPH effect on EtOH discrimination was confirmed by comparing the EtOH generalization curves generated in the presence and absence of MPH with the constrained non-linear curve-fitting as described above. The overall logistic slope was 2.38 ±0.604 in the unconstrained model versus 2.25 ±0.59 in the constrained fit. The natural log ED50’s for (the three conditions), respectively, were −0.170 ±0.160, −0.117 ±0.255, and −0.119 ±0.217 corresponding to ED50’s of 0.85, 0.89, and 0.89. Maximum responses in the three conditions were 100 ±10.9, 82.84 ±13.0, and 99.6 ±13.85. The residuals of the constrained and unconstrained fits did not differ [F (4,233)=0.720, p=0.58] indicating no reliable differences in the dose-response curve across conditions. Finally, as shown in and, MPH did not alter response rates of EtOH discrimination trained mice when given in combination with EtOH or alone (both F<0.7 for the factor interactions).
Locomotor activity
The finding in the MPH discrimination study that MPH (1-2 mg/kg) could interact significantly with a low dose of EtOH (1 g/kg) to affect behavior prompted a second study to evaluate the effects of 1.25 mg/kg MPH and 1 g/kg EtOH on locomotor activity, another test commonly used to evaluate the effects of stimulants and EtOH on behavior of mice. These data are summarized in Figure 2. Five mice were removed from the final analysis due to procedural errors during testing. Consistent with previous reports from our laboratory, neither the 1.25 mg/kg MPH dose (Griffin et al. 2010), nor the 1 g/kg EtOH dose (Middaugh et al. 1992) increased locomotor activity above that after vehicle injections. Importantly, however, when given in combination, the 1.25 mg/kg MPH and 1 g/kg EtOH increased horizontal activity (photobeam breaks) compared to that of mice given either drug alone, or vehicle. These observations were supported by a significant one way ANOVA [F (3,27) = 5.388, p = 0.005]. Post-hoc multiple comparisons tests with Bonferroni’s correction indicated that the drug combination group had greater horizontal activity than vehicle and MPH treatments (*p<0.05), while the difference with the EtOH group approached significance (p = 0.053).
Vertical activity for mice in the different treatment groups (Mean ± S.E.M.) were: vehicle 122 ±9; MPH 129 ±23; EtOH 68 ±9; drug combination 127 ±26. Vertical activity data were analyzed as desribed for horizontal activity. Although the group means suggest that EtOH reduced vertical activity and the the addition of MPH to EtOH prevented the reduction, the one way ANOVA did not reach statistical significance [F (3,27) = 2.509, p = 0.083]. Thus, MPH or EtOH given at doses which neither alone impacts locomotor activity, when combined interact to significantly increase locomotor activity.
Place preference
The data from the two place preference experiments are summarized in Figure 3. Both data sets were analyzed using the mixed model analysis of variance procedures described in the methods. In the first experiment (Figure 3A), the Pre-Test established that mice spent only 300 sec of the 900 sec test session on side of the chamber with the parallel rods floor, hence this side was paired with drug administration during the biased conditioning procedure design. At the conclusion of the experiment, we found that only the MPH group showed increased time on the drug paired side after 8 conditioning sessions. These observations were supported by a significant interaction of the Group and Time factors [F (6, 47.1) = 3.39, p = 0.007]. Post-hoc comparisons using Bonferroni’s corrected multiple T-test showed that only the MPH group had increased time on the drug paired side compared with the vehicle group (Test 2, p=0.012). Interestingly, significant conditioning for the MPH group was evident after only 4 conditioning sessions compared to vehicle (Test 1, p=0.002). The p values approached significance for the EtOH group at Test 1 and 2 were p=0.054 and p=0.077, respectively, compared to the vehicle group. Finally, the p values for the remaining comparisons all exceeded values of 0.08. Thus, only the MPH group demonstrated significant place preference and there was no evidence that the drug combination increased reinforcing value of the drug-paired compartments.
During the first CPP experiment, we observed that the mice in the two groups administered EtOH exhibited significant ataxia while ambulating on the parallel rods. This was further investigated by measuring footslips, which established significant ataxia in EtOH treated mice and even greater ataxic effects in mice administered EtOH and MPH (see Results below). Following this observation, conducted a second CPP experiment on a different group of mice using a modified the conditioning apparatus with floors that did not present an ambulation challenge. The results of this experiment are summarized in Figure 3B. The data analysis indicated a significant interaction of the Group and Time factors [F (6,66.6) = 2.29, p =0.045]. Post-hoc analyses indicated a significant place preference during Test 2 for all three active drug groups relative to the vehicle group (all p’s<0.05), an effect not found during Test 1. Therefore, significant place preference for the MPH, EtOH and drug combination groups required eight conditioning sessions, and none of the active drug groups demonstrated significantly different place-preference relative to each other.
Footslips (ataxia)
As noted in the methods section, the first quantification of footslips was conducted within the CPP apparatus in real time using mice that had completed the first CPP experiment. In this first set of observations, we found that mean footslips varied as a function of drug treatment as follows (footslips ± S.E.M.): 1.3 ±0.3 VEH; 2.9 ±0.6 MPH; 18.1 ±2.4 EtOH; and 32 ±3.3 for the drug combination. These data were analyzed using a one way ANOVA which found a significant effect of group [F (3,36)= 52, p<0.0001]. Post-hoc analyses using Bonferroni’s corrected multiple T-test found that the drug combination increased footslips to a greater extent that either drug alone (all p<0.05) and vehicle. Thus, the initial observation indicated that the combination of MPH and EtOH increased footslips more than either EtOH or MPH alone.
Figure 4 summarizes the results of the second footslip experiment conducted 2 days after completing rota-rod testing (see below). These data were also analyzed using one way ANOVA, which found a significant effect of Group [F (3,44) = 81, p<0.0001], replicating the previous findings. The post-hoc analysis found that the drug combination of increased footslip errors more than either drug alone and vehicle (all p<0.05). Together, the results of these two experiments indicate that the MPH + EtOH combination significantly reduces motor coordination ability.
Rota-Rod performance
The additional examination of the motor coordination in the rota-rod experiment, used mice tested 2 days after completing the second CPP experiment that were maintained in the same drug treatment group used for CPP. In this experiment, the mean latencies to fall (sec ±S.E.M.) for the 4 groups were as follows: 121 ±18vehicle; 97 ±13 MPH; 20 ±3 EtOH and 28 ±10 for the drug combination. The final rotation speeds (RPM ±S.E.M.) were as follows: 25 ±3 VEH; 21 ±2 MPH; 8 ±0.5 EtOH and 10 ±2 for the drug combination. One way ANOVAs on these data found significant effects of Group on Time [F(3,44) = 16.9, p<0.0001] and RPM [F(3,44) =17.4, p<0.0001]. Post-hoc analyses with Bonferonni’s corrected T-test showed that for groups treated with EtOH, there were significant reductions in Time and RPM compared to vehicle and MPH treatment. Additionally, there appeared to be a slight reduction in both Time and RPM for the MPH treated mice in rota-rod performance, but this was not statistically supported. In this study, we found that the conditions of the rota-rod test were quite challenging since mice could not stay on the apparatus for more than 2 min and 25 RPMs under vehicle treatment conditions. Under these challenging conditions, there was no evidence of a pharmacological interaction between MPH and EtOH.
Brain MPH and EPH Concentrations after MPH-EtOH co-administration
We investigated the unique stereo-specific interaction in brain tissue from mice treated with either 1.25 mg/kg d,l-MPH or this dose of MPH combined with 1.75 g/kg EtOH (Figure 5). The co-administration of EtOH significantly increased the d-isomer of MPH and there was no effect on brain concentrations of the l-isomer. This was supported by a significant interaction in the 2 way ANOVA [F (1,44)=9.79, p=0.003). Post-hoc analyses with Bonferroni’s corrected multiple T-test found that overall, concentrations of l-MPH were lower (p<0.05) and only d-MPH concentrations increased in the presence of EtOH. Further, as shown in panel 5B, we detected the metabolite EPH nearly exclusively as the l-isomer. In fact, d-EPH only reached detectable concentrations in 4 out of 12 mice. A Student’s T-test confirmed the larger concentration of l-EPH (t=5.311, df=22, p<0.0001). Therefore, the combination of dl-MPH and EtOH enantioselectively increased d-MPH and produced the transesterification metabolite, l-EPH.
Brain EtOH concentrations after MPH-EtOH co-administration
We measured tissue concentrations of EtOH in the same brains used for MPH and EPH determinations. The mean sample tissue weight was 14.5 ±0.5 mg across all mice. As expected, EtOH was undetectable in tissue from mice treated only with vehicle and MPH (1.25 mg/kg). For mice administered EtOH (1.75 g/kg) or the MPH + EtOH combination the tissue concentrations were 19.56±1.51 and 19.65±1.59 μg EtOH/mg cortex, respectively. Student’s T-test confirmed the lack of a difference (t=0.04, df 22, p=0.96). Therefore, co-administration of EtOH and MPH did not alter EtOH concentrations in the cortex at a time point relevant to the behavioral tests used in the present studies.
Discussion
In these studies, we found that EtOH and MPH interacted when simultaneously injected to enhance locomotor stimulation, motor incoordination (ataxia) and discrimination of MPH in MPH-trained mice, but not EtOH-trained mice. A very important feature of these enhanced behavioral effects of the MPH-EtOH combination is that they were observed at relatively low doses of each drug. Further, the increased ataxia found with the drug combination may well have important clinical implications. These specific drug interactive effects on behavior are very likely due to the selective increase in the d-isomer of MPH that we observed soon after co-administration of the two drugs at a time point relevant for all the behaviors. Interestingly, we did not find evidence of enhanced reinforcing effects of the drug combination, at least as measured by conditioned place preference. Accordingly, these new data extend our understanding of the behavioral effects of a clinically relevant drug interaction.
The present drug discrimination experiments build on our previous studies examining the discriminative stimulus of MPH by adding EtOH to our test procedures. Previous studies indicated that MPH doses of >4 mgkg were required for C57 mice to acquire discrimination and, further, that the discriminative stimulus was dependent upon the pharmacologically active d-isomer, not the inactive l-isomer of MPH (McGovern et al. 2011). In the present study, once discrimination was established, mice demonstrated partial generalization to MPH doses lower than the training dose as expected (Stolerman et al. 2011). The partial generalization provided a sensitive test for examining whether EtOH would augment MPH discrimination. Essentially, our data show that EtOH enhanced the ability of mice to discriminate doses of MPH smaller (1-2 mg/kg) than the training dose. On the other hand no such shift in the generalization curve occurred in the EtOH-trained mice when MPH and EtOH were combined. Accordingly, the results of these two experiments are consistent with our observations that the combination of MPH and EtOH increases d-MPH concentrations in B6 mice (Bell et al. 2011a; Bell et al. 2011b). Thus, only mice trained to discriminate MPH would be expected to demonstrate a leftward shift in their MPH generalization curve, as shown by our data.
The discrimination experiment with MPH-trained mice indicated that MPH and EtOH could interact to affect behavior in B6 mice at lower doses than previously demonstrated (Bell et al. 2011a; Bell et al. 2011b; Griffin et al. 2010). This was examined further using locomotor activity. We found that a non-stimulatory dose of MPH (1.25 mg/kg) combined with a non-stimulatory dose of EtOH (1 g/kg) significantly interacted to increase total activity of B6 mice. Therefore, both the discrimination and locomotor activity experiments indicate that significant pharmacological interactions between MPH and EtOH can occur at low doses (e.g. 1-2 mg/kg MPH vs 1 g/kg EtOH). Demonstrating a lower threshold for this drug-drug interaction in our preclinical studies has important implications for clinical scenarios. Indeed, it has been recently pointed out that MPH doses used in the preclinical literature have historically translated into doses that are much higher than used clinically to treat ADHD (Kuczenski et al. 2005). In addition to our findings, low MPH doses (<2 mg/kg) have been shown to cause sensitization (Kuczenski et al. 2001) and differentially affect dopamine levels in several brain regions in other preclinical models (Berridge et al. 2006; Kuczenski et al. 1997). In humans, the combination of a therapeutic dose of MPH and a standard EtOH drink elicited interoceptive cues (positive subjective effects) that the study participants endorsed more than MPH alone (Patrick et al. 2007). Thus, our findings of significant pharmacological interactions in the B6 mouse model using lower doses of MPH and EtOH than previously reported, coupled with our human laboratory study (Patrick et al. 2007) indicate the distinct possibility of clinically relevant interactions for social drinkers being treated for ADHD with dl-MPH (Biederman et al. 2005; Biederman et al. 2002).
Reports in humans indicate that the combination of MPH and EtOH might have pleasurable effects (Barrett et al. 2002; Patrick et al. 2007), implying enhanced reinforcing effects of the drug combination compared to MPH or EtOH alone. Therefore, we hypothesized that the combination of EtOH and MPH would demonstrate enhanced reinforcing value compared to either drug alone. However, our data do not support this hypothesis, at least as measured by conditioned place preference under two different conditions. Nevertheless, the data from CPP experiment 2 do indicate that the drug combination has at least a similar reinforcing value of either drug alone. Conditioned place preference testing is conducted in the drug-free state and therefore evaluates the secondary reinforcing effects of drugs. Since the literature suggests that the primary reinforcing value of the drug combination when co-ingested is salient, evaluating MPH/EtOH combinations using oral self-administration procedures in rodent models represents an intriguing future area of investigation.
An important finding from the CPP studies is that the 1.25 mg/kg dose of MPH supported significant place preference, consistent with other recent reports investigating smaller doses of MPH (3 mg/kg or less) in the context of reward (dela Peña et al. 2012; dela Peńa et al. 2011; Trezza et al. 2009; Wooters et al. 2011). Interestingly, another recent report found that 0.75 mg/kg MPH did not support place preference in contrast to a 10-fold higher dose (Zhu et al. 2011b), suggesting a lower limit to the reinforcing effects of MPH. The 1.25 mg/kg dose of MPH we used is close to the range reported to be relevant for clinical use (Kuczenski et al. 2005). This finding was evident in CPP experiment 1 in which there was a clear bias by the mice away from the parallel rod side of the apparatus (see methods), but showed significant place preference to this side after only 4 conditioning sessions. The two groups that were conditioned with EtOH and EtOH/MPH combination in CPP experiment 1 did not show significant place preference at all. Thus, under these conditions, MPH alone appears to be more rewarding than either EtOH or the drug combination. In contrast, using the modified apparatus with smooth flooring, the MPH treated mice demonstrated place preference within the same number of conditioning sessions and to the same magnitude as the other active drug groups.
We postulate that the increased difficulty ambulating on the parallel rods while intoxicated with EtOH, evidenced as increased footslips, provided an aversive quality to the apparatus that could not be overcome with 16 conditioning sessions to produce significant place preference in the first CPP experiment. In part, this interpretation is supported by a previous experiment showing that EtOH (1.75 g/kg) produces significant place preference in B6 mice (Nocjar et al. 1999). Moreover, current results from the modified apparatus to remove the ambulation challenge demonstrated significant place preference in both groups of mice conditioned with EtOH. The observation that parallel rods can challenge ambulation under the influence of EtOH intoxication, leading to increased footslip errors, has been reported earlier (Kamens et al. 2007; Kamens et al. 2005). Interestingly, the addition of MPH to EtOH intoxication exacerbated the motor incoordination, shown by even greater numbers of footslips in the MPH+EtOH condition. This observation may have clinical implications since people often combine MPH (or other psychostimulants) with EtOH to antagonize the depressant effects of EtOH. Our results in the mouse model clearly indicate that MPH does not antagonize the ataxic effects of EtOH but rather, does quite the opposite.
The lack of potentiated ataxia with the combination of EtOH and MPH in the rota-rod test was not intuitive. We intentionally designed the rota-rod test to include a rapid increase in rotation speed in a short period of time to make the test challenging. However, this came at the expense of the sensitivity needed to detect differences in ataxia between the EtOH alone and the drug combination groups (see results). Therefore, further testing will be required with the rota-rod to determine if differences in ataxia can be detected between drug treatments using this method. Notwithstanding, the rota-rod test and footslip test offer interesting contrasts in probing motor coordination. The rota-rod test forces the mice to move because of the turning rod and the threat of a fall from the elevated position provides incentive for the mice to maintain their balance. On the other hand, in the footslip test, errors in fine motor skill are completely the result of the mouse’s own ambulation around the interior of the chamber. It should be noted that EtOH (1.75 g/kg) stimulates locomotor activity (Griffin et al. 2010; Jerlhag 2008; Middaugh et al. 1992; Middaugh et al. 1987); moreover, the combination of this EtOH dose and MPH (1.25 mg/kg), which is non-stimulatory by itself, produces greater activity than either drug given alone (Griffin et al. 2010). Thus, a plausible explanation for the increase in footslips with the drug combination in the current study is that mice ambulate more while intoxicated with the drug combination, providing more opportunities for footslip errors.
The potentiated pharmacological effects revealed in the present report, and those previously published in mice (Bell et al. 2011a; Griffin et al. 2010) and humans (Patrick et al. 2007), are likely due to the selective increase in the d-isomer of MPH when dl-MPH and EtOH are combined. In our previous preclinical work using oral dosing (Bell et al. 2011a), the 3-h time point after drug challenge that brain tissue was collected did not reveal a significance difference in d- and l-MPH concentrations, though there was a trend. In the present study, we collected brain tissue at an earlier time point relevant the current behavioral studies and found a significant increase in the d-isomer of MPH. The significant increase of the d-isomer of MPH with the dl-MPH-EtOH combination was first noted in a human laboratory trial (Patrick et al. 2007) and postulated to be part of the mechanism behind the increased self-reports of increased pleasurable feelings noted in that study. A great deal of evidence indicates that the d-isomer of MPH, rather than the l-isomer, is pharmacologically active (Markowitz et al. 2008; Patrick et al. 1987; Patrick et al. 1981). However, the l-isomer of MPH is not necessarily biologically inert. Mounting evidence suggests that l-MPH inhibits carboxylesterase 1 (Zhu et al. 2008), the enzyme primarily involved in the metabolic clearance of MPH. This effectively reduces d-MPH metabolism, producing an increase in systemic d-MPH concentrations. Thus, an important contribution of the present results is confirmation that d-MPH concentrations are increased in B6 mice soon after co-administration of EtOH and dl-MPH, as noted in humans (Patrick et al. 2007). Collectively, these data indicate that the combination of EtOH and MPH produces a significant increase in d-MPH concentrations, the pharmacologically active isomer of MPH.
Lastly, we observed that the transesterification metabolite EPH was also detected in brain tissue of B6 mice consistent with previous work in mice (Bell et al. 2011a; Bell et al. 2011b; Williard et al. 2007) and in human plasma (Markowitz et al. 2000; Markowitz et al. 1999; Patrick et al. 2007) The majority of EPH produced was the l-isomer and previous behavioral experiments indicate that this isomer is pharmacologically inactive (Patrick et al. 2005; Williard et al. 2007). The d-isomer of EPH is pharmacologically active (Williard et al. 2007) but is only generated in small amounts in mice (Bell et al. 2011a; Bell et al. 2011b; Williard et al. 2007) and humans under controlled laboratory conditions (Patrick et al. 2007), thus it is not likely to contribute to the potentiated behavioral effects reported for the drug combination. However, the production of EPH appears to be unique to the combination of MPH and EtOH and therefore offers the potential as a biomarker of concomitant MPH-EtOH, as reported in overdoses [e.g. (Markowitz 1999)] for identifying causative toxicity.
In conclusion, the present studies as well as our recent published work (Bell et al. 2011a; Bell et al. 2011b; Griffin et al. 2010; Williard et al. 2007) are an example of reverse translation because the hypotheses we tested in mice were originally generated by findings observed in humans (Markowitz et al. 2000; Markowitz et al. 1999; Patrick et al. 2007). The preclinical studies presented here demonstrate significant pharmacological interactions of MPH and EtOH at doses extrapolated to be clinically relevant on drug discrimination, locomotor activity and confirmed the unique stereospecific increases in d-MPH and production of l-EPH. Additionally, we found that the combination of EtOH and MPH increases ataxia, as measured by footslips in a parallel rod test. Taken together, these results indicate that MPH and EtOH interact in clinically important ways. The widespread use of these two drugs and interactive pharmacology demands careful attention from prescribers treating ADHD as well as a greater awareness from the consuming public about the risks of co-ingestion of EtOH and MPH.
Acknowledgements
The authors thank J. Reid Spears, Kathyrn Balcewicz, and Andrew Novak for expert technical assistance. Funding was provided by NIGMS Postdoctoral Scholarship K12 GM081265 to RWM and NIAAA RO1 AA016707 to KSP.
Footnotes
Conflict of Interest:
The authors have no conflicts of interest to disclose
References
- Barrett SP, Darredeau C, Pihl RO. Patterns of simultaneous polysubstance use in drug using university students. Hum Psychopharmacol. 2006;21(4):255–263. doi: 10.1002/hup.766. [DOI] [PubMed] [Google Scholar]
- Barrett SP, Pihl RO. Oral methylphenidate-alcohol co-abuse. J Clin Psychopharmacol. 2002;22(6):633–634. doi: 10.1097/00004714-200212000-00020. [DOI] [PubMed] [Google Scholar]
- Becker HC, Baros AM. Effect of duration and pattern of chronic ethanol exposure on tolerance to the discriminative stimulus effects of ethanol in C57BL/6J mice. J Pharmacol Exp Ther. 2006;319(2):871–878. doi: 10.1124/jpet.106.108795. [DOI] [PubMed] [Google Scholar]
- Bell GH, Griffin WC, 3rd, Patrick KS. Oral and transdermal DL-methylphenidate-ethanol interactions in C57BL/6J mice: potentiation of locomotor activity with oral delivery. Pharmacol Biochem Behav. 2011a;100(2):264–270. doi: 10.1016/j.pbb.2011.08.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bell GH, Novak AJ, Griffin WC, 3rd, Patrick KS. Transdermal and oral dl-methylphenidate-ethanol interactions in C57BL/6J mice: transesterification to ethylphenidate and elevation of d-methylphenidate concentrations. J Pharm Sci. 2011b;100(7):2966–2978. doi: 10.1002/jps.22476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Berridge CW, Devilbiss DM, Andrzejewski ME, Arnsten AF, Kelley AE, Schmeichel B, et al. Methylphenidate preferentially increases catecholamine neurotransmission within the prefrontal cortex at low doses that enhance cognitive function. Biol Psychiatry. 2006;60(10):1111–1120. doi: 10.1016/j.biopsych.2006.04.022. [DOI] [PubMed] [Google Scholar]
- Biederman J, Faraone SV. Attention-deficit hyperactivity disorder. Lancet. 2005;366(9481):237–248. doi: 10.1016/S0140-6736(05)66915-2. [DOI] [PubMed] [Google Scholar]
- Biederman J, Spencer T. Methylphenidate in treatment of adults with Attention-Deficit/Hyperactivity Disorder. J Atten Dis. 2002;6(Suppl 1):S101–107. doi: 10.1177/070674370200601s12. [DOI] [PubMed] [Google Scholar]
- Crissman AM, Studders SL, Becker HC. Tolerance to the discriminative stimulus effects of ethanol following chronic inhalation exposure to ethanol in C57BL/6J mice. Behav Pharmacol. 2004;15(8):569–575. doi: 10.1097/00008877-200412000-00005. [DOI] [PubMed] [Google Scholar]
- Cunningham CL, Patel P. Rapid induction of Pavlovian approach to an ethanol-paired visual cue in mice. Psychopharmacol. 2007;192(2):231–241. doi: 10.1007/s00213-007-0704-4. [DOI] [PubMed] [Google Scholar]
- Cunningham CL, Patel P, Milner L. Spatial location is critical for conditioning place preference with visual but not tactile stimuli. Behav Neurosci. 2006;120(5):1115–1132. doi: 10.1037/0735-7044.120.5.1115. [DOI] [PubMed] [Google Scholar]
- Darredeau C, Barrett SP, Jardin B, Pihl RO. Patterns and predictors of medication compliance, diversion, and misuse in adult prescribed methylphenidate users. Hum Psychopharmacol. 2007;22(8):529–536. doi: 10.1002/hup.883. [DOI] [PubMed] [Google Scholar]
- dela Peña I, Lee JC, Lee HL, Woo TS, Lee HC, Sohn AR, et al. Differential behavioral responses of the spontaneously hypertensive rat to methylphenidate and methamphetamine: lack of a rewarding effect of repeated methylphenidate treatment. Neurosci Lett. 2012;514(2):189–193. doi: 10.1016/j.neulet.2012.02.090. [DOI] [PubMed] [Google Scholar]
- dela Peńa IC, Ahn HS, Choi JY, Shin CY, Ryu JH, Cheong JH. Methylphenidate self-administration and conditioned place preference in an animal model of attention-deficit hyperactivity disorder: the spontaneously hypertensive rat. Behav Pharm. 2011;22(1):31–39. doi: 10.1097/FBP.0b013e328342503a. [DOI] [PubMed] [Google Scholar]
- Godfrey J. Safety of therapeutic methylphenidate in adults: a systematic review of the evidence. J Psychopharmacol. 2009;23(2):194–205. doi: 10.1177/0269881108089809. [DOI] [PubMed] [Google Scholar]
- Griffin WC, 3rd, Novak AJ, Middaugh LD, Patrick KS. The interactive effects of methylphenidate and ethanol on ethanol consumption and locomotor activity in mice. Pharmacol Biochem Behav. 2010;95(3):267–272. doi: 10.1016/j.pbb.2010.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hasin DS, Stinson FS, Ogburn E, Grant BF. Prevalence, correlates, disability, and comorbidity of DSM-IV alcohol abuse and dependence in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Arch Gen Psychiatry. 2007;64(7):830–842. doi: 10.1001/archpsyc.64.7.830. [DOI] [PubMed] [Google Scholar]
- Jerlhag E. The antipsychotic aripiprazole antagonizes the ethanol- and amphetamine-induced locomotor stimulation in mice. Alcohol. 2008;42(2):123–127. doi: 10.1016/j.alcohol.2007.11.004. [DOI] [PubMed] [Google Scholar]
- Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE. Monitoring the Future national results on adolescent drug use: Overview of key findings. Vol. 2007. National Institute on Drug Abuse; Bethesda, MD: 2008. NIH Publication No. 08-6418. [Google Scholar]
- Kamens HM, Crabbe JC. The parallel rod floor test: a measure of ataxia in mice. Nat Protoc. 2007;2(2):277–281. doi: 10.1038/nprot.2007.19. [DOI] [PubMed] [Google Scholar]
- Kamens HM, Phillips TJ, Holstein SE, Crabbe JC. Characterization of the parallel rod floor apparatus to test motor incoordination in mice. Genes Brain Behav. 2005;4(4):253–266. doi: 10.1111/j.1601-183X.2004.00100.x. [DOI] [PubMed] [Google Scholar]
- Kroutil LA, Van Brunt DL, Herman-Stahl MA, Heller DC, Bray RM, Penne MA. Nonmedical use of prescription stimulants in the United States. Drug Alcohol Depend. 2006;84(2):135–143. doi: 10.1016/j.drugalcdep.2005.12.011. [DOI] [PubMed] [Google Scholar]
- Kuczenski R, Segal DS. Effects of methylphenidate on extracellular dopamine, serotonin, and norepinephrine: comparison with amphetamine. J Neurochem. 1997;68(5):2032–2037. doi: 10.1046/j.1471-4159.1997.68052032.x. [DOI] [PubMed] [Google Scholar]
- Kuczenski R, Segal DS. Locomotor effects of acute and repeated threshold doses of amphetamine and methylphenidate: relative roles of dopamine and norepinephrine. J Pharmacol Exp Ther. 2001;296(3):876–883. [PubMed] [Google Scholar]
- Kuczenski R, Segal DS. Stimulant actions in rodents: implications for attention-deficit/hyperactivity disorder treatment and potential substance abuse. Biol Psychiatry. 2005;57(11):1391–1396. doi: 10.1016/j.biopsych.2004.12.036. [DOI] [PubMed] [Google Scholar]
- LeVasseur NL, Zhu HJ, Markowitz JS, DeVane CL, Patrick KS. Enantiospecific gas chromatographic-mass spectrometric analysis of urinary methylphenidate: implications for phenotyping. J Chromatogr B Analyt Technol Biomed Life Sci. 2008;862(1-2):140–149. doi: 10.1016/j.jchromb.2007.11.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mallonee E, Calvin S. Emergency Department Visits Involving Underage Drinking 2004. The New DAWN Report. 2005:1–4. [Google Scholar]
- Manjanatha MG, Shelton SD, Dobrovolsky VN, Shaddock JG, McGarrity LG, Doerge DR, et al. Pharmacokinetics, dose-range, and mutagenicity studies of methylphenidate hydrochloride in B6C3F1 mice. Environ Mol Mutagen. 2008;49(8):585–593. doi: 10.1002/em.20407. [DOI] [PubMed] [Google Scholar]
- Markowitz JS, DeVane CL, Boulton DW, Nahas Z, Risch SC, Diamond F, et al. Ethylphenidate formation in human subjects after the administration of a single dose of methylphenidate and ethanol. Drug Metab Dispos. 2000;28(6):620–624. [PubMed] [Google Scholar]
- Markowitz JS, Logan BK, Diamond F, Patrick KS. Detection of the novel metabolite ethylphenidate after methylphenidate overdose with alcohol coingestion. J Clin Psychopharmacol. 1999;19(4):362–366. doi: 10.1097/00004714-199908000-00013. [DOI] [PubMed] [Google Scholar]
- Markowitz JS, Patrick KS. Differential pharmacokinetics and pharmacodynamics of methylphenidate enantiomers: does chirality matter? J Clin Psychopharmacol. 2008;28(3 Suppl 2):S54–61. doi: 10.1097/JCP.0b013e3181733560. [DOI] [PubMed] [Google Scholar]
- Martin CS. Timing of alcohol and other drug use. Alcohol Res.Health. 2008;31(2):96–99. [PMC free article] [PubMed] [Google Scholar]
- McCabe SE, Cranford JA, Morales M, Young A. Simultaneous and concurrent polydrug use of alcohol and prescription drugs: prevalence, correlates, and consequences. J Stud Alcohol. 2006;67(4):529–537. doi: 10.15288/jsa.2006.67.529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McCabe SE, Teter CJ, Boyd CJ, Guthrie SK. Prevalence and correlates of illicit methylphenidate use among 8th, 10th, and 12th grade students in the United States, 2001. J Adol Health. 2004;35(6):501–504. doi: 10.1016/j.jadohealth.2004.02.004. [DOI] [PubMed] [Google Scholar]
- McGovern RW, Middaugh LD, Patrick KS, Griffin WC., 3rd The discriminative stimulus properties of methylphenidate in C57BL/6J mice. Behav Pharmacol. 2011;22(1):14–22. doi: 10.1097/FBP.0b013e3283423d92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Middaugh LD, Bao K, Shepherd CL. Comparative effects of ethanol on motor activity and operant behavior. Pharmacol Biochem Behav. 1992;43(2):625–629. doi: 10.1016/0091-3057(92)90202-q. [DOI] [PubMed] [Google Scholar]
- Middaugh LD, Boggan WO, Randall CL. Stimulatory effects of ethanol in C57BL/6 mice. Pharmacol Biochem Behav. 1987;27(3):421–424. doi: 10.1016/0091-3057(87)90343-1. [DOI] [PubMed] [Google Scholar]
- Nocjar C, Middaugh LD, Tavernetti M. Ethanol consumption and place-preference conditioning in the alcohol-preferring C57BL/6 mouse: relationship with motor activity patterns. Alcohol Clin Exp Res. 1999;23(4):683–692. [PubMed] [Google Scholar]
- Okie S. ADHD in adults. N Engl J Med. 2006;354(25):2637–2641. doi: 10.1056/NEJMp068113. [DOI] [PubMed] [Google Scholar]
- Patrick KS, Caldwell RW, Ferris RM, Breese GR. Pharmacology of the enantiomers of threo-methylphenidate. J Pharmacol Exp Ther. 1987;241(1):152–158. [PubMed] [Google Scholar]
- Patrick KS, Kilts CD, Breese GR. Synthesis and pharmacology of hydroxylated metabolites of methylphenidate. J Med Chem. 1981;24(10):1237–1240. doi: 10.1021/jm00142a021. [DOI] [PubMed] [Google Scholar]
- Patrick KS, Straughn AB, Minhinnett RR, Yeatts SD, Herrin AE, DeVane CL, et al. Influence of ethanol and gender on methylphenidate pharmacokinetics and pharmacodynamics. Clin Pharmacol Ther. 2007;81(3):346–353. doi: 10.1038/sj.clpt.6100082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Patrick KS, Williard RL, VanWert AL, Dowd JJ, Oatis JE, Jr., Middaugh LD. Synthesis and pharmacology of ethylphenidate enantiomers: the human transesterification metabolite of methylphenidate and ethanol. J Med Chem. 2005;48(8):2876–2881. doi: 10.1021/jm0490989. [DOI] [PubMed] [Google Scholar]
- Schechter MD. Advantages and disadvantages of a rapid method to train drug discrimination. Pharmacol Biochem Behav. 1988;31(1):239–242. doi: 10.1016/0091-3057(88)90340-1. [DOI] [PubMed] [Google Scholar]
- Stolerman IP, Childs E, Ford MM, Grant KA. Role of training dose in drug discrimination: a review. Behav Pharm. 2011;22(5-6):415–429. doi: 10.1097/FBP.0b013e328349ab37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Szumlinski KK, Price KL, Frys KA, Middaugh LD. Unconditioned and conditioned factors contribute to the ‘reinstatement’ of cocaine place conditioning following extinction in C57BL/6 mice. Behav Brain Res. 2002;136(1):151–160. doi: 10.1016/s0166-4328(02)00102-x. [DOI] [PubMed] [Google Scholar]
- Teter CJ, McCabe SE, LaGrange K, Cranford JA, Boyd CJ. Illicit use of specific prescription stimulants among college students: prevalence, motives, and routes of administration. Pharmacotherapy. 2006;26(10):1501–1510. doi: 10.1592/phco.26.10.1501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Trezza V, Damsteegt R, Vanderschuren LJMJ. Conditioned place preference induced by social play behavior: parametrics, extinction, reinstatement and disruption by methylphenidate. Eur Neuropsychopharmacol. 2009;19(9):659–669. doi: 10.1016/j.euroneuro.2009.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Williard RL, Middaugh LD, Zhu HJ, Patrick KS. Methylphenidate and its ethanol transesterification metabolite ethylphenidate: brain disposition, monoamine transporters and motor activity. Behav Pharmacol. 2007;18(1):39–51. doi: 10.1097/FBP.0b013e3280143226. [DOI] [PubMed] [Google Scholar]
- Wooters TE, Walton MT, Bardo MT. Oral methylphenidate establishes a conditioned place preference in rats. Neuroscience letters. 2011;487(3):293–296. doi: 10.1016/j.neulet.2010.10.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhu HJ, Patrick KS, Markowitz JS. Enantiospecific determination of DL-methylphenidate and DL-ethylphenidate in plasma by liquid chromatography-tandem mass spectrometry: application to human ethanol interactions. J Chrom B. Analytical Tech Biomed Life Sci. 2011a;879(11-12):783–788. doi: 10.1016/j.jchromb.2011.02.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhu HJ, Patrick KS, Yuan HJ, Wang JS, Donovan JL, DeVane CL, et al. Two CES1 gene mutations lead to dysfunctional carboxylesterase 1 activity in man: clinical significance and molecular basis. Am J Hum Genet. 2008;82(6):1241–1248. doi: 10.1016/j.ajhg.2008.04.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhu J, Spencer TJ, Liu-Chen L-Y, Biederman J, Bhide PG. Methylphenidate and μ opioid receptor interactions: a pharmacological target for prevention of stimulant abuse. Neuropharm. 2011b;61(1-2):283–292. doi: 10.1016/j.neuropharm.2011.04.015. [DOI] [PMC free article] [PubMed] [Google Scholar]