Volunteers were pre-screened via telephone interview and brought in for an initial screening visit. A physical examination and medical history, blood tests for liver function and routine blood chemistry, and a urine screen for illegal drugs were conducted. Recent drinking history was assessed using the 90-day Timeline Followback (TLFB)31 and Alcohol Use Disorder Identification Test (AUDIT)32.
Participants were excluded if they have any clinically significant medical problems, use of prescription or over-the-counter (OTC) medication known to interact with alcohol in the past 2-4 weeks, lifetime or current diagnosis of substance or alcohol dependence; currently seeking treatment for alcohol use disorders; the presence of withdrawal symptoms that are clinically significant (a score >8 on the Clinical Institute Withdrawal Assessment (CIWA))33, or pregnancy in women. Other IV alcohol administration studies have included participants with a lifetime diagnosis of alcohol dependence, as well as current if the participant is non-treatment seeking.
To better understand the role of alcohol expectancies on motivation for alcohol rewards, the Alcohol Effects Questionnaire (AEFQ)34 was administered. Additionally, subjective response measures were collected at baseline and serially during the study session to examine the urge for alcohol using the CAIS Experience Questionnaire (CEQ), Alcohol Urge Questionnaire (AUQ)35 and the effects of alcohol using the Drug Effects Questionnaire (DEQ)36. Measures of progressive ratio work include the total number of button presses across all rewards, the total number of false button presses (an incomplete attempt to press the button/or pressing faster than the maximal rate), total reward time (the amount of time spent pressing the button for alcohol), average rate of button pressing, and false button press fraction. Other measures included: peak BrAC, average BrAC, total rewards earned, and total ethanol consumed. These measures do not include the priming portion of the session.
Data were analyzed using General Linear Model Univariate to compare IV-ASA measures for males and females (Table 1) and Low Responders and High Responders (Table 2). Pearson's r correlational analyses were conducted to compare session 1 and session 2 IV-ASA measures (Figure 3) and IV-ASA measures with recent drinking history measures (Figure 4). Finally, General Linear Model Univariate analyses were conducted to compare Low and High Responders on measures of alcohol expectancies (Figure 5) and subjective response measures during the priming phase (Figure 6) and for peak subjective response scores (Figure 7).
One hundred and fifteen healthy, non-alcohol-dependent participants were recruited for this study. Sixteen participants were excluded due to availability issues, eight due to system crashes during 2nd infusion visit, six due to medical reasons (i.e., low blood pressure, fainting, etc.), and one from not meeting inclusion criteria (i.e., alcohol dependence diagnosis). Therefore, a total of 84 participants were used in the final analysis. The sample was 54.8% male (n = 46) and 67.9% identified as White/Caucasian (n = 57). Table 3 summarizes the demographics of the analytical sample.
Effects of sex differences were assessed on both drinking history measures as well as the session outcomes (Table 1). Females and males were not significantly different on recent drinking history measures as reported by the AUDIT and TLFB 90 Days. As for session measures, the only statistically significant sex difference was the total amount of EtOH consumed. This significant difference was expected given that males have larger total body water volumes of alcohol distribution than females, and these pharmacokinetic differences are adjusted for by the program. Sex was a covariant in all further analyses.
A subset of participants (N = 11) completed two identical sessions. Pearson's r correlation coefficients were calculated comparing session 1 and session 2 self-administration variables of peak BrAC, total rewards earned, the total number of button presses, and the average rate of button pressing. Pearson's r ranged from 0.81 to 0.96 (P ≤ 0.002). There was a high test-retest reliability for the progressive ratio method for all self-administration measures (Figure 3). Correlation coefficients were also used to examine internal consistency among self-administration measures. Pearson's r ranged from 0.71 to 0.96 (p < 0.01). As expected, the total number of rewards was strongly correlated with peak BrAC, average BrAC, and total EtOH infused (data not shown).
As expected, there was substantial variability in self-administration behavior (Figure 8). By comparing session data with recent drinking history, we found that the number of drinking days during the past 90 days was closely associated with drinking behaviors in the lab (Figure 4). These associations include regular measures such as peak BrAC, average BrAC (not shown in the figure), and total EtOH. The system-specific measures such as average rate and false button presses fraction were also associated with recent drinking history measures. Pearson's r ranged from 0.257 to 0.314 (p ≤ 0.025).
To evaluate the relationship between alcohol-seeking behavior and subjective responses throughout the session, a median split (median = 5) was conducted on total rewards earned, yielding 2 groups labeled low responders and high responders. High responders had significantly higher drinking history measures of Total Drinks over the past 90 days and Number of Heavy Drinking Days over the past 90 days (Table 2). As expected, higher responders pressed a significantly greater number of times for infusions during the session than low responders and spent more time working for those rewards (all p's < 0.001). Subjective responses were analyzed by comparing group means at baseline during the PR priming phase as during the PR self-administration phase. Low responders reported more overall negative expectancies of alcohol (p = 0.023) at baseline, including expectations of cognitive and physical impairment (p = 0.022) (Figure 5).
During the priming phase, low and high responders were significantly different on both CEQ and DEQ measures (Figure 6). High responders would have been willing to pay more money for their next drink (p = 0.038). Low responders felt the alcohol more after priming (p = 0.001) and felt more intoxicated following priming (p < 0.001).
During the open bar PR phase, high and low responders were significantly different on DEQ measures of "liking" (p = 0.014) and "wanting" (p = 0.001) alcohol (Figure 7). High responders had a higher craving for alcohol, as seen in the AUQ total score (p = 0.003). They were also still willing to pay more for their next drink at the end of the open bar PR phase (p < 0.001).

Figure 1: Test session set-up of materials. Schematic of the set-up of IV pump, work button, laptop, and data entry screen from the software. Please click here to view a larger version of this figure.

Figure 2: Timeline of events. Timeline of the priming session, ad-lib session, and measures collected. Please click here to view a larger version of this figure.

Figure 3: Test-retest reliability in n = 11 subjects undertaking 2 identical sessions. Session 1 is on the x-axis, and session 2 is on the y-axis. There were statistically significant correlations between session 1 and session 2 drinking measures for: peak BrAC, total rewards earned, the total number of button presses, and average rate of button pressing. Please click here to view a larger version of this figure.

Figure 4: Recent drinking history and session measures. Graphical representation of the statistically significant relationship between past drinking history using the 90-day Timeline Followback (TLFB) and drinking measures during the self-administration session. Please click here to view a larger version of this figure.

Figure 5: Alcohol expectancies. Alcohol expectancies at baseline were significantly different between low versus high responders. Low responders expected more overall negative effects from alcohol at baseline and, specifically, greater cognitive and physical impairment as a result of alcohol. *p < 0.05 Please click here to view a larger version of this figure.

Figure 6: Subjective response following priming phase. Subjective response at the 20 min mark was significantly different between low versus high responders. High responders were willing to pay more for their next drink after priming, as indicated by the CEQ. Low responders felt the alcohol more directly after priming and felt more intoxicated, as indicated by the DEQ. *p < 0.05; **p < 0.01; ***p < 0.001 Please click here to view a larger version of this figure.

Figure 7: Subjective response during progressive-ratio open bar phase. Subjective response during the open bar phase was significantly different between low versus high responders. High responders reported higher peak scores for liking alcohol and wanting alcohol on the DEQ. They also reported higher peak craving or urge for alcohol on the AUQ. High responders were willing to pay more for their next drink at the end of the open-bar phase, as indicated by the CEQ. *p < 0.05; **p < 0.01; ***p < 0.001 Please click here to view a larger version of this figure.

Figure 8: BrAC trajectories. The graphs document the predicted BrAC trajectories during the entire session (including the priming phase). At the 10 min mark, most participants achieved a 30 mg/dL BrAC, which was the desired BrAC for the priming phase. The variability in the self-administration phase reflects the sensitivity of the paradigm to differences across participants. Please click here to view a larger version of this figure.
| Females (N = 38) | Males (N = 46) |
| Drinking History: | | |
| Total Drinks | 92.8 ± 120.7 | 93.9 ± 72.9 |
| Drinking Days | 25.1 ± 12.9 | 27.7 ± 14.3 |
| Drinks per Day | 3.3 ± 2.3 | 3.4 ± 1.6 |
| Heavy Drinking Days | 8.9 ± 11.5 | 6.4 ± 9.1 |
| Session Measures: | | |
| Peak BrAC | 34.6 ± 17.7 | 37.9 ± 21.0 |
| Average BrAC | 21.4 ± 15.6 | 23.3 ± 18.7 |
| Total Rewards Earned | 5.4 ± 3.3 | 5.5 ± 3.8 |
| Total EtOH consumed (grams) ** | 16.8 ± 7.6 | 25.6 ± 15.0 |
| Number of Button Presses | 2035.2 ± 2657.1 | 2940.7 ± 5179.5 |
| Number of False Button Presses | 445.7 ± 828.2 | 585.0 ± 1112.4 |
| Total Reward Time | 1146.9 ± 1277.3 | 1460.0 ± 1643.3 |
| Average Rate of Button Pressing | 1.9 ± 1.1 | 2.3 ± 1.6 |
| False Button Presses Fraction | 0.12 ± 0.12 | 0.16 ± 0.14 |
| False Button Presses Fraction | 0.12 ± 0.12 | 0.16 ± 0.14 |
Table 1: Sex differences in drinking measures. The first panel reports 90 Day Timeline Followback (TLFB) measures. Males and females were not significantly different (p > 0.05) on any drinking history measures, indicating that they drank similarly outside the lab. The second panel shows session consumption measures. Males and females were significantly different only on the total amount of ethanol consumed (**p = 0.005). This difference is commensurate with sex differences in total body water and likely reflects the difference in consumption needed to achieve comparable peak BrACs.
| Low Responders (N = 45) | High Responders (N = 39) |
| Drinking History: | | |
| Total Drinks* | 73.5 ± 48.4 | 116.4 ± 129.4 |
| Drinking Days | 24.8 ± 13.6 | 28.7 ± 13.7 |
| Drinks per Day | 3.2 ± 1.6 | 3.7 ± 2.3 |
| Heavy Drinking Days* | 5.7 ± 7.4 | 9.6 ± 12.6 |
| Session Measures: | | |
| Peak BrAC** | 26.4 ± 12.4 | 47.9 ± 20.0 |
| Average BrAC** | 12.6 ± 9.5 | 33.8 ± 17.4 |
| Total Rewards Earned** | 2.5 ± 1.6 | 8.7 ± 1.9 |
| Total EtOH consumed (g) ** | 15.2 ± 6.6 | 29.1 ± 14.4 |
| Number of Button Presses** | 225.1 ± 242.1 | 5191.8 ± 5046.0 |
| Number of False Button Presses** | 37.9 ± 75.3 | 1080.5 ± 1240.9 |
| Total Reward Time (s)** | 386.4 ± 961.3 | 2393.7 ± 1246.9 |
| Average Rate of Button Pressing** | 1.7 ± 1.4 | 2.6 ± 1.4 |
| False Button Presses Fraction** | 0.09 ± 0.11 | 0.20 ± 0.13 |
Table 2: Low and high responder differences in drinking history measures. The table reports 90 Day Timeline Followback (TLFB) measures and intravenous self-administration measures (IV-ASA). Low Responders and High Responders were significantly different on Total Drinks and Number of Heavy Drinking Days (all p's < 0.05). These differences indicate that these participants have different drinking histories that were also reflected in their PR behavior in the laboratory. Low Responders had significantly lower IV-ASA measures than High Responders (all p's < 0.001).
| Construct | | Mean ± S.D. (Percentage) |
| Sex | Female | 38 (45.2%) |
| Male | 46 (54.8%) |
| Race | White | 57 (67.9%) |
| African American/Black | 12 (14.3%) |
| Asian | 9 (10.7%) |
| Mixed Race | 5 (6.0%) |
| Unknown | 1 (1.2%) |
| Age | | 24.8 ± 3.0 |
| Years of Education | | 15.9 ± 3.0 |
| Household Income | Median | $30,000–$39,999 |
Table 3: Demographics of the analytical sample. This table gives a breakdown of the characteristics of our sample.