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. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: Neuropharmacology. 2019 Jul 29;158:107730. doi: 10.1016/j.neuropharm.2019.107730

Vaccine blunts fentanyl potency in male rhesus monkeys

Rebekah D Tenney 1, Steven Blake 2, Paul T Bremer 2,3, Bin Zhou 2, Candy S Hwang 2,4, Justin L Poklis 1, Kim D Janda 2,#, Matthew L Banks 1,#
PMCID: PMC6745253  NIHMSID: NIHMS1536410  PMID: 31369740

Abstract

One proposed factor contributing to the increased frequency of opioid overdose deaths is the emergence of novel synthetic opioids, including illicit fentanyl and fentanyl analogs. A treatment strategy currently under development to address the ongoing opioid crisis is immunopharmacotherapies or opioid-targeted vaccines. The present study determined the effectiveness and selectivity of a fentanyl-tetanus toxoid conjugate vaccine to alter the behavioral effects of fentanyl and a structurally dissimilar mu-opioid agonist oxycodone in male rhesus monkeys (n=3-4). Fentanyl and oxycodone produced dose-dependent suppression of behavior in an assay of schedule-controlled responding and antinociception in an assay of thermal nociception (50°C). Acute naltrexone (0.032 mg/kg) produced an approximate 10-fold potency shift for fentanyl to decrease operant responding. The fentanyl vaccine was administered at weeks 0, 2, 4, 9, 19, and 44 and fentanyl or oxycodone potencies in both behavioral assays were redetermined over the course of 49 weeks. The vaccine significantly and selectively shifted fentanyl potency at least 10-fold in both assays at several time points over the entire experimental period. Mid-point titer levels correlated with fentanyl antinociceptive potency shifts. Antibody affinity for fentanyl as measured by a competitive binding assay improved over time to approximately 3-4 nM. The fentanyl vaccine also increased fentanyl plasma levels approximately 6-fold consistent with the hypothesis that the vaccine sequesters fentanyl in the blood. Overall, these results support the continued development and evaluation of this fentanyl vaccine in humans to address the ongoing opioid crisis.

Keywords: fentanyl, oxycodone, rhesus monkeys, vaccine, antinociception, naltrexone

1.0. INTRODUCTION

The rates of fatal and non-fatal overdoses attributed to mu-opioid receptor (MOR) agonists have significantly increased every year since 2006 (O’Donnell et al., 2017). A recent Center for Disease Control report found that the synthetic MOR agonist fentanyl was detected in 56% of all reported overdose deaths (O’Donnell et al., 2017). The source of fentanyl driving the current opioid crisis is not from diverted prescription products, but primarily from manufacturing in Asian laboratories and trafficking into the United States where fentanyl can be mixed with heroin or other MOR agonists (Ciccarone, 2017). Current Opioid Use Disorder (OUD) treatments include the opioid antagonist naltrexone, the mu-opioid receptor (MOR) partial agonist buprenorphine, and the MOR agonist methadone. Although, buprenorphine and methadone are effective, regulatory barriers impair patient access to these treatments (Blanco and Volkow, 2019). Utilization and patient compliance with naltrexone is poor and patients need to be opioid abstinent before naltrexone treatment initiation (Jarvis et al., 2018; Lee et al., 2018). Moreover, some patients will relapse on current OUD treatments (Barbosa-Leiker et al., 2018; Lee et al., 2018) highlighting the need for preclinical research to develop effective and readily accessible treatment strategies.

Recently, the National Institutes of Health have outlined several scientific areas of interest to strategically focus research efforts for developing novel treatment strategies to address the ongoing opioid crisis. One proposed strategic area is the development of opioid-targeted conjugate vaccines or immunopharmacotherapies (Baehr and Pravetoni, 2019; Bremer and Janda, 2017; Volkow and Collins, 2017). A conjugate vaccine consists of three components: a hapten (i.e., opioid analog), an immunogenic carrier protein to stimulate an immune response (e.g., tetanus toxoid, TT), and adjuvant(s) to boost the immune system (Bremer and Janda, 2017). These vaccines stimulate the immune system to produce high-affinity antibodies specifically against the targeted opioid. Upon exposure to the targeted opioid, antibodies in the blood bind the opioid, and the resulting antibody-opioid complex is too large to cross the blood brain barrier and cannot activate central opioid receptors that mediate either abuse-related effects or respiratory function. Potential advantages and challenges of conjugate vaccines in the treatment of OUD have been recently reviewed (see (Baehr and Pravetoni, 2019; Banks et al., 2018; Tunstall and Vendruscolo, 2019)).

Preclinical research is a critical component in the development of novel therapeutics to address the opioid crisis. Fentanyl vaccines have been developed and evaluated in both mice and rats (Bremer et al., 2016; Raleigh et al., 2019; Torten et al., 1975; Townsend et al., 2019). For example, the fentanyl-tetanus toxoid (TT) conjugate vaccine used in the present study produced a maximum 33-fold antinociceptive potency shift for fentanyl and a 9-fold shift antinociceptive potency for α-methylfentanyl in mice (Bremer et al., 2016). Furthermore, this fentanyl-TT vaccine shifted intravenous (IV) fentanyl antinociceptive potency approximately 24-fold and IV fentanyl-vs.-food choice at least 10-fold in rats (Townsend et al., 2019). In addition, a fentanyl-keyhole limpet hemocyanin (KLH) conjugate vaccine shifted the antinociceptive potency of fentanyl 5.4-fold in rats (Raleigh et al., 2019). Overall, these results in rodents support the continued preclinical evaluation of fentanyl vaccines in higher order species.

The present study aim was to examine the effectiveness and selectivity of a fentanyl-TT conjugate vaccine in rhesus monkeys. Vaccine effectiveness was evaluated on two behavioral endpoints and vaccine selectivity was compared to the structurally dissimilar and clinically prescribed MOR agonist oxycodone. Warm water tail-withdrawal was utilized to allow for comparisons to previous rodent studies and schedule-controlled responding was utilized to assess MOR agonist potency shifts (Bremer et al., 2017; Butelman et al., 1996; Negus et al., 2003; Negus et al., 1993). We have recently reported in rats this fentanyl-TT vaccine produced similar potency shifts on warm-water tail withdrawal and fentanyl-vs.-food choice self-administration endpoints (Townsend et al., 2019). Fentanyl vaccine effectiveness was determined in nonhuman primates for two main reasons. First, immunological factors related to both total B-cell and T-cell counts are more similar between rhesus monkeys and humans than rodents and humans (Caldwell et al., 2016; Vaccari and Franchini, 2010). These immunological factors might explain the diminished effectiveness of other substance use disorder vaccines in nonhuman primates compared to rodents (Bremer et al., 2017; Evans et al., 2016). Second, pharmacodynamic considerations related to MOR density and distribution, and pharmacokinetic considerations in opioid metabolism provide further support for the evaluation of candidate therapeutics in nonhuman primates as part of the drug development process (Weerts et al., 2007). Fentanyl vaccine effectiveness was compared to naltrexone in the assay of schedule-controlled responding. We have previously reported that naltrexone shifts fentanyl antinociceptive potency 9-fold (Cornelissen et al., 2018). In addition, human laboratory studies and clinical trials have established the minimally effective naltrexone dose for OUD treatment produces an 8-fold opioid potency shift (Bigelow et al., 2012; Comer et al., 2006; Sullivan et al., 2006).

2.0. METHODS

2.1. Subjects

Four adult male rhesus monkeys (Macaca mulatta) weighing between 10-14 kg and 9-16 years of age served as subjects. Three monkeys were Indian origin and one was Chinese origin. All subjects had extensive drug and experimental histories, consisting mostly of monoamine transporter ligands and opioid agonists (see Supplemental Table 1 for additional details). Subjects were individually housed in stainless steel chambers that also served as the experimental chambers. Water was available ad lib. The primary food diet (Teklad Global Diet, 2050, 20% Protein Primate Diet) was given daily after the behavioral procedure and supplemented daily with fruits and vegetables. In addition, subjects could earn food banana-flavored pellets (TestDiet, 5TUR Grain-Based Nonhuman Primate Tablet) during the behavioral session. Housing rooms were maintained a 12-hour light cycle (6:00 AM to 6:00 PM). Animal maintenance and research were conducted in accordance with the 2011 guidelines promulgated by the National Institutes of Health Committee on Laboratory Animal Resources. The facility was licensed by the United States Department of Agriculture and accredited by AAALAC International. Both research and enrichment protocols were approved by the Virginia Commonwealth University Animal Care and Use Committee. Monkeys had visual, auditory, and olfactory contact with other monkeys throughout the study. Monkeys also had access to mirrors, television, puzzle feeders, toys, coconuts, and birch sticks as additional environmental enrichment.

2.2. Schedule-controlled responding procedure

Experiments were conducted in the housing chamber which also served as the experimental chamber as previously described (Banks et al., 2010a; Bremer et al., 2017). Briefly, operant response panels were mounted daily on the front of each chamber. Each panel consisted of three-square translucent keys and a pellet dispenser (ENV-203-1000, Med Associates, St. Albans, VA, USA) that delivered 1-g banana-flavored pellets into a food receptacle beneath the operant panel. Operant panels and experimental parameters were controlled by a MED-PC interface and an IBM compatible computer. Custom programming in MEDSTATE Notation (MED Associates) was utilized.

The schedule-controlled responding procedure lasted 75 minutes in duration and consisted of five 15-minute cycle. Each cycle contained two components: a 10-min timeout period followed by a 5-min response period. During the response period, the right key was illuminated red. Subjects could respond on the key under a fixed-ratio 30 (FR30) schedule of reinforcement and receive a maximum of 10 pellets per cycle. If the maximum number of pellets was earned before the 5-min response period elapsed, the light turned off. Responding in the absence of an illuminated key had no programmed consequences. Experimental sessions were conducted 5 days per week. Training sessions occurred on Mondays, Wednesdays and Thursdays and test sessions occurred on Tuesdays and Fridays. Training sessions included either no injection or a saline injection at the beginning of each 10-min timeout period. All monkeys were trained until rates of responding were consistently ≥ 1.0 response per s before transitioning to test sessions.

Initially, dose-effect functions were determined for fentanyl (0.001-0.032 mg/kg) and oxycodone (0.0032-1.0 mg/kg), and each drug was tested twice. Drugs were administered intramuscular (IM) using a cumulative dosing procedure and each drug dose increased the total cumulative dose by one-fourth or one-half log units. For comparison to subsequent vaccine effects, 0.032 mg/kg, IM naltrexone was administered as an acute pretreatment before a single cumulative fentanyl dose-effect test session. This naltrexone dose has previously shown to produce an approximate 9-fold shift in fentanyl antinociceptive potency in rhesus monkeys (Cornelissen et al., 2018). Human laboratory studies have suggested an approximate 8 to 10-fold potency shift is the minimum clinically effective naltrexone dose necessary for OUD treatment (Comer et al., 2006; Sullivan et al., 2006). Subsequently, the fentanyl-TT conjugate vaccine was administered at weeks 0, 2, 4, 9, 19, and 44 (Figure 1). Fentanyl and oxycodone dose-effect functions were then redetermined over the course of 43 experimental weeks (Figure 1). Drug administration ceased once the cumulative drug dose produced ≥70% rate suppression in individual monkeys.

Figure 1:

Figure 1:

Experimental timeline. SCR stands for schedule-controlled responding; TW stands for tail withdrawal procedure; PK stands for pharmacokinetic experiment.

2.3. Thermal nociception procedure

Subjects were also trained to sit comfortably in acrylic restraint chairs as described previously (Banks et al., 2010a; Cornelissen et al., 2018). The bottom 10-12 cm of each tail was shaved weekly and immersed in a thermal container of water heated to 38°C or 50°C. Prior to fentanyl and oxycodone dose-effect function determination, a baseline cycle occurred where tail withdrawal latencies must have been 20s at 38°C and ≤2s for 50°C before initiating drug administration. Latencies were recorded with a handheld stopwatch. These criteria were met for each test session. Initially, dose-effect functions were determined for fentanyl (0.001-0.032 mg/kg) and oxycodone (0.01-1.0 mg/kg), and each drug was tested twice. Drugs were administered IM using a cumulative dosing procedure and each drug dose increased the total cumulative dose by one-fourth or one-half log units. Each cycle consisted of two components: a 10-min timeout period and a five-min-test period where tail withdrawal latencies were reassessed at 38 and 50°C. Thermal intensities were presented in random sequence. Fentanyl and oxycodone cumulative dose-effect functions were redetermined over the course of 50 weeks (Figure 1). Drug administration ceased once a subject had maximum latencies of 20s in 50°C. If the subject did not remove its tail before the cutoff time, the experimenter removed the tail.

2.4. Pharmacokinetic Study

Blood samples (1–2 mLs) from a saphenous vein were collected in Vacutainer tubes containing 3.0 mg of sodium fluoride and 6.0mg sodium ethylenediaminetetraacetic acid before, and 3, 10, 30, 100, 300 min, and 24 h after 0.018 mg/kg, IM fentanyl administration in monkeys trained to present their leg while seated in custom primate restraint chairs. Fentanyl pharmacokinetic studies were conducted both before fentanyl-TT conjugate vaccine administration number six at week 42 and at week 49 (Figure 1). Samples were immediately centrifuged at 1350g for 10 min. The plasma supernatant was transferred into a labeled storage tube and frozen at −80°C until analyzed. Quantitative analysis of fentanyl was based upon a previously described method (Poklis et al., 2016).

2.4. Vaccination Period

The fentanyl vaccine was composed of a fentanyl hapten conjugated to tetanus toxoid (TT) as described previously (Bremer et al., 2016) and solubilized in 50% glycerol and 50% phosphate-buffered saline. Fentanyl copies were 23 per protein, based on conjugation with surrogate bovine serum albumin. On a per monkey basis, 400 μg of conjugate fentanyl-TT hapten was mixed with 600 μg CpG ODN 2006 (Eurofins Genomics, Louisville, KY) and 1 mg Alhydrogel adjuvant 2% (InvivoGen, San Diego, CA) for 30 min and then refrigerated for 24h prior to IM administration at approximately 1.2 ml per monkey. Blood was collected from a saphenous vein into vacutainer tubes every two weeks for subsequent analysis. Titer measurements were obtained by ELISA and fentanyl IC50 values were obtained by a competitive SPR assay both using fentanyl-BSA as a coating antigen as previously described (Bremer et al., 2016).

2.5. Data analysis

For the schedule-controlled responding assay, raw rates of responding (responses per s) from each test cycle were converted to percent of control using the average response rate from the training session immediately preceding the test session in each individual monkey. Individual % control rate data were then averaged between monkeys to yield group mean results. For the thermal nociception assay, drug effects were expressed as %Maximum Possible Effect (%MPE). The equation was:

%MPE=(TestLatencyBaselineLatency)(20BaselineLatency)100

where test latency was tail withdrawal from the 50°C water after drug administration and baseline latency was tail withdrawal at the beginning of the test session before drug administration. ED50 values were determined for fentanyl and oxycodone in each monkey for each assay as a function of fentanyl vaccine administration. ED50 values were calculated by linear regression when at least three data points on the linear portion of the dose-effect function were available or log-linear interpolation (one below and one above 50% effect) as described previously (Bremer et al., 2017; Cornelissen et al., 2018; Cornelissen et al., 2019). Individual ED50 values were averaged to yield mean ED50s and 95% confidence limits. Potency ratios were calculated by comparing the ED50 value during the test condition (vaccine treatment) to the baseline ED50 value. Group mean potency ratios were compared using ANOVAs. A Dunnet post-hoc test followed a significant main effect. The criterion for significance was set a priori at the 95% confidence level (p<0.05).

2.6. Drugs and Reagents

Fentanyl HCl, (−)-oxycodone HCl, and (−)-naltrexone HCl were provided by the National Institute on Drug Abuse Drug Supply Program (Bethesda, MD). All drugs were dissolved in sterile water and administered intramuscularly (IM). Drug doses were calculated and expressed using the salt forms listed above.

3.0. Results

3.1. Vaccine effects on fentanyl and oxycodone-induced rate suppression

Average control rates of responding across all experiments was 1.8 ± 0.1 responses per s. Supplemental Table 1 shows weekly average control rates of responding did not systematically vary over the entire experimental period. Figure 2 shows the potency of fentanyl (Panel A) and oxycodone (Panel B) to produce rate-suppression before vaccine administration, following acute 0.032 mg/kg naltrexone pretreatment, and at week 22 of the experimental timeline (Figure 1). The corresponding ED50 values are reported in Table 1. Acute 0.032 mg/kg naltrexone produced an approximate 13-fold and 8-fold shift in fentanyl and oxycodone rate-suppression potency, respectively. The fentanyl vaccine maximally shifted the fentanyl potency (~10-fold) at week 22 similar to 0.032 mg/kg naltrexone (Panel A) and in contrast to naltrexone, the vaccine was selective for fentanyl vs. oxycodone (Panel B).

Figure 2:

Figure 2:

Effects of a fentanyl vaccine and 0.032 mg/kg naltrexone pretreatment on fentanyl (Panel A) and oxycodone (Panel B)-induced rate suppression in male rhesus monkeys (n=4). Abscissae: cumulative intramuscular (IM) drug dose in milligrams per kilogram. Ordinates: percent control rate. All points represent the mean ± SEM. NTX stands for naltrexone.

Table 1:

Potency (ED50 value) and 95% confidence limits (CL) of fentanyl and oxycodone to decrease rates of operant responding in male rhesus monkeys (n=4) before and after fentanyl vaccine administration.

Experimental Week Fentanyl ED50 (95% CL) Oxycodone ED50 (95% CL)
Baseline 0.003 (0.001, 0.006) 0.05 (0.02, 0.15)
+ 0.032 mg/kg Naltrexone 0.049 (0.013, 0.092) 0.4 (0.1, 1.61)
Week 7 0.011 (0.001, 0.079)
Week 9 0.03 (0.01, 0.11)
Week 11 0.018 (0.005, 0.068)
Week 13 0.011 (0.002, 0.046)
Week 15 0.04 (0.02, 0.08)
Week 16 0.011 (0.003, 0.047)
Week 18 0.05 (0.01, 0.21)
Week 21 0.1 (0.05, 0.19)
Week 22 0.028 (0.011, 0.072)
Week 24 0.05 (0.02, 0.18)
Week 27 0.021, (0.006, 0.083)
Week 30 0.022 (0.010, 0.045)
Week 32 0.06 (0.03, 0.12)
Week 34 0.007 (0.002, 0.023)
Week 36 0.07 (0.03, 0.19)
Week 40 0.005 (0.002, 0.017)

3.2. Vaccine effects on fentanyl and oxycodone-induced antinociception

Average ± S.E.M. baseline tail withdrawal latency before all test sessions was 0.8 ± 0.2 s at 50°C. One monkey that participated in the schedule-controlled responding experiments failed to learn the warm water tail-withdrawal procedure and thus results are from three monkeys. Figure 3 shows the potency of fentanyl (Panel A) and oxycodone (Panel B) to produce antinociception before vaccine administration and at week 12. The corresponding ED50 values are reported in Table 2. The fentanyl vaccine maximally shifted the antinociceptive potency of fentanyl 25-fold (Panel A) at week 24 and the vaccine was selective for fentanyl vs. oxycodone (Panel B).

Figure 3:

Figure 3:

Vaccine effects on fentanyl (Panel A) and oxycodone (Panel B)-induced antinociception in male rhesus monkeys (n=3). Abscissae: cumulative intramuscular (IM) drug dose in milligrams per kilogram. Ordinates: percent maximum possible effect (%MPE). All points represent the mean ± SEM.

Table 2:

Antinociceptive potency (ED50 value) and 95% confidence limits (CL) of fentanyl and oxycodone in male rhesus monkeys (n=3) before and after fentanyl vaccine administration.

Experimental Week Fentanyl ED50 (95% CL) Oxycodone ED50 (95% CL)
Baseline 0.004 (0.04, 0.005) 0.19 (0.1, 0.36)
Week 8 0.019 (0.003, 0.125) 0.06 (0.01, 0.25)
Week 12 0.06 (0.009, 0.4) 0.13 (0.03, 0.66)
Week 14 0.06 (0.026, 0.14)
Week 17 0.021 (0.008, 0.057)
Week 18 0.09 (0.04, 0.2)
Week 20 0.21 (0.14, 0.32)
Week 23 0.1 (0.057, 0.175)
Week 24 0.43 (0.29, 0.65)
Week 26 0.06 (0.046, 0.078)
Week 28 0.28 (0.13, 0.57)
Week 31 0.037 (0.018, 0.078)
Week 32 0.38 (0.26, 0.57)
Week 35 0.026 (0.012, 0.055)
Week 36 0.31 (0.16, 0.6)
Week 41 0.024 (0.012, 0.05)
Week 50 0.053 (0.05, 0.057)

3.3. Time course of fentanyl vaccine effects

Figure 4A shows the changes in fentanyl and oxycodone potency over the entire experimental period in the assay of schedule-controlled responding. The fentanyl vaccine significantly attenuated fentanyl potency compared to baseline at weeks 11, 22, and 30 (F(9,25.1) = 4.15; p=0.002). Oxycodone potency was not significantly altered throughout the entire experimental period as assessed by either one-way RM ANOVA or linear regression to determine where the oxycodone potency shift slope was significantly different from zero. Figure 4B shows the changes in fentanyl and oxycodone potency over the entire experimental period in the warm water tail-withdrawal procedure. The fentanyl vaccine significantly attenuated fentanyl antinociceptive potency compared to baseline at weeks 12 and 23 (F(9,18) = 2.48; p=0.048). Oxycodone antinociceptive potency was also not significantly altered over the experimental period as assessed by either one-way RM ANOVA or linear regression to determine where the oxycodone potency shift slope was significantly different from zero. Figure 4C shows midpoint titer levels peaked at week 6 and then decayed. Furthermore, midpoint titer levels were positively correlated with fentanyl antinociceptive potency shifts (R2=0.28, p=0.0041), but not fentanyl schedule-controlled responding potency shifts (R2=0.01). Figure 4D shows antibody-fentanyl affinity (IC50 values) maturation over time. Antibody affinity to fentanyl peaked at week 50 (3.2 nM). Moreover, antibody-fentanyl affinity was essentially maximized by week 22 (4.1 nM). Individual midpoint titers and antibody-fentanyl affinities are shown in Supplemental Figure 1.

Figure 4:

Figure 4:

Time course of fentanyl and oxycodone potency shifts in assays of schedule-controlled responding (A) and thermal nociception (B) in male rhesus monkeys. All points represent the mean ± SEM from four monkeys for Panel A and three monkeys for Panel B. Panel C shows midpoint titer levels as a function of experimental week. Panel D shows anti-fentanyl antibody affinity (IC50 values, nM) as a function of experimental week. Filled symbols denote statistical significance (p<0.05) compared to baseline and individual subject data are shown for each significant data point.

3.4. Vaccine effects on fentanyl pharmacokinetics

Figure 5 shows plasma fentanyl levels over time following 0.018 mg/kg fentanyl (IM) administration. Fentanyl levels peaked at 10 min and peak fentanyl levels (41.2 vs. 136 ng/mL) were approximately 3-fold higher five weeks following the last fentanyl vaccine boost at week 44. Fentanyl levels were significantly greater following vaccine administration at all time points (time: F(5,15) = 12.99, p<0.0001; vaccine: F(1,3) = 31.67, p=0.011; time × vaccine interaction: F(5,15) = 5.2, p=0.0057).

Figure 5:

Figure 5:

Vaccine effects on fentanyl plasma levels in male rhesus monkeys (n=4). All points represent the mean ± SEM. Filled symbols denote statistical significance (p<0.05) compared to the week 42 (Pre-Boost).

4.0. Discussion

The present study determined the effectiveness and selectivity of a fentanyl-TT conjugate vaccine to alter the behavioral and pharmacokinetics of fentanyl in rhesus monkeys. There were three main findings. First, vaccine administration significantly shifted the fentanyl potency to produce rate-suppression and antinociception greater than 10-fold. These potency shifts were of similar magnitude to acute 0.032 mg/kg naltrexone administration and the minimum potency shift reported to be necessary for a clinically effective antagonist-based OUD treatment (i.e., depot naltrexone). Second, the fentanyl vaccine was selective for fentanyl compared to the structurally dissimilar MOR agonist oxycodone. Lastly, the vaccine significantly increased plasma fentanyl levels suggesting antibody sequestration of fentanyl in the blood as one potential mechanism. Altogether, these results demonstrate that a fentanyl vaccine can produce clinically significant potency shifts on fentanyl behavioral effects in nonhuman primates and support the continued development and evaluation of this fentanyl vaccine in humans to address the ongoing opioid crisis.

Both fentanyl and oxycodone produced dose-dependent depression of operant behavior and thermal antinociception in rhesus monkeys. The present results are consistent with previous studies in humans (Finch and DeKornfeld, 1967), nonhuman primates (Banks et al., 2010a; Maguire and France, 2014; Nussmeier et al., 1991), and rodents (Millan, 1989; Schwienteck et al., 2019b; Walker et al., 1994). We have previously reported that acute 0.032 mg/kg naltrexone produced an approximate 10-fold potency shift in the fentanyl antinociception dose-effect function at 50°C (Cornelissen et al., 2018). The present results extended these previous acute naltrexone antagonism results of fentanyl to the assay of schedule-controlled responding. Acute 0.032 mg/kg naltrexone produced an approximate 13-fold potency shift in the fentanyl dose-effect function and a 9-fold potency shift in the oxycodone dose-effect function. Human laboratory studies have suggested that an 8-fold potency shift in MOR agonist dose-effect functions is the minimally effective potency shift necessary to produce clinically meaningful effects on OUD-related endpoints (Comer et al., 2006; Sullivan et al., 2006). Overall, these results with acute naltrexone as a positive control provide an empirical framework for interpretation of subsequent fentanyl vaccine effects.

The fentanyl vaccine significantly attenuated fentanyl potency to depress operant behavior and produce antinociception. The present results in nonhuman primates are consistent with previous fentanyl vaccine effects in both mice and rats (Bremer et al., 2016; Raleigh et al., 2019; Torten et al., 1975; Townsend et al., 2019). Moreover, the present results extend these previous findings in two ways. First, the maximum fentanyl potency shift ~25-fold in tail withdrawal) observed in rhesus monkeys was qualitatively similar to the maximal potency shifts (~33-fold in tail withdrawal) in mice and (~24-fold in tail withdrawal) rats with the same fentanyl-TT conjugate vaccine (Bremer et al., 2016; Townsend et al., 2019) and greater than the maximum potency shift (~5.4-fold in hot plate) reported with a fentanyl-KLH conjugate vaccine in rats (Raleigh et al., 2019). Second, fentanyl vaccine effectiveness was less in the assay of schedule-controlled responding (~10-fold) than warm-water tail withdrawal in the same monkeys. Differences in opioid-targeted vaccine effectiveness between schedule-controlled responding in rhesus monkeys and antinociception in mice have also been reported for a heroin-TT conjugate vaccine (Bremer et al., 2017). One potential reason for differential sensitivity of schedule-controlled responding and thermal nociception to immunopharmacotherapies could be related to differences in MOR agonist efficacy requirement to produce behavioral effects. For example, the partial MOR agonist buprenorphine produces near maximal antinociception in male rhesus monkeys at 50°C but fails to significantly depress rates of operant behavior (Cornelissen et al., 2018; Cornelissen et al., 2019). Thus, thermal nociception would be a lower MOR agonist efficacy requiring procedure compared to schedule-controlled responding. Abuse-related endpoints, such as discriminative stimulus effects, are also low MOR agonist efficacy requiring procedures (for review, see (Bergman et al., 2000)). Overall, the present results suggest schedule-controlled responding may provide a more conservative estimate of subsequent clinical immunopharmacotherapy effectiveness than thermal nociception procedures.

In contrast to naltrexone, the fentanyl vaccine selectively attenuated the behavioral effects of fentanyl relative to oxycodone. The present results in rhesus monkeys are consistent with previously reported selectivities of fentanyl vaccines in both mice (Bremer et al., 2016) and rats (Raleigh et al., 2019). One advantage of high antibody specificity by opioid-targeted vaccines would be to maintain the flexibility of a patient being treated with a structurally dissimilar opioid (e.g. oxycodone) for pain management or allow for combination OUD treatments with immunopharmacotherapies and currently approved OUD treatments naltrexone, buprenorphine, or methadone. However, one potential disadvantage of high antibody specificity is a motivated individual could circumvent vaccine effects by misusing a structurally dissimilar opioid. This disadvantage is no different that the competitive antagonism for current FDA-approved treatments buprenorphine and naltrexone. Furthermore, the fentanyl vaccine utilized in the present studies has shown effectiveness towards a variety of fentanyl analogues, including α-methylfentanyl, 3-methylfentanyl, and carfentanil (Bremer et al., 2016; Hwang et al., 2018a). Yet, this same fentanyl vaccine elicited antibodies displaying very weak affinity towards structurally dissimilar opioids such as heroin (Bremer et al., 2016; Hwang et al., 2018a). As a result, recent preclinical research has explored the development of combination immunopharmacotherapy approaches directed at multiple, structurally dissimilar abused opioids (e.g., fentanyl and heroin) (Hwang et al., 2018a; Hwang et al., 2018b; Natori et al., 2019). In conclusion, opioid-targeted vaccines may provide for a unique clinically effective option for OUD treatment as either monotherapies or in combination with current FDA-approved treatments.

Four fentanyl vaccine boosts over the course of nine weeks were necessary to produce the initial significant potency shift. Importantly, significant potency shifts were recaptured following a fifth vaccine boost at week 19. The vaccine latency to produce significant shifts in fentanyl potency in the present study suggests that one clinical hurdle for immunopharmacotherapies is the slow induction phase compared to depot naltrexone or buprenorphine. Immunopharmacotherapy effectiveness depends upon two main factors 1) the production of sufficiently high levels of viable titers by the immunized subject’s immune system and 2) the antibody affinity for the drug. This latter factor is critical because fentanyl’s affinity for the MOR is in the low nanomolar range. Optimizations in hapten copy number or adjuvant and conjugate dosing may shorten the induction time (Bremer et al., 2017; Hwang et al., 2018a). However, the fentanyl vaccine could also be combined with the once a month depot naltrexone (Krupitsky et al., 2011) or buprenorphine (Haight et al., 2019) formations to ensure sufficient antibody titer levels.

In summary, the present results in rhesus monkeys support the continued development of a fentanyl-TT conjugate vaccine to address the opioid crisis. Multiple biologics such as monoclonal antibodies (Hambuchen et al., 2016; Smith et al., 2019), drug-degrading enzymes (Collins et al., 2012), or adenovirus-based vaccines (Evans et al., 2016) are currently under development as candidate substance use disorder medications. Monoclonal antibodies would be most appropriate as opioid overdose reversal agents whereas vaccines would be most appropriate as OUD treatments (for review, see (Bremer and Janda, 2017)). Although the clinical effectiveness of fentanyl or other opioid-targeted vaccines to treat OUD remains to be empirically determined, the clinical deployment of a fentanyl-targeted vaccine could be utilized to address the current opioid crisis as public health harm reduction efforts in addition to OUD treatment. For example, a fentanyl vaccine could serve as a harm reduction agent to mitigate opioid overdose due to fentanyl or fentanyl analogue contaminated heroin (Ciccarone, 2017) or other drugs of abuse (Mars et al., 2018). Furthermore, a fentanyl vaccine could be utilized to protect service personnel and first responders against chemical threats involving fentanyl or fentanyl analogues.

A separate group of nonhuman primates administered the control vaccine containing TT, CpG ODN 2006, and Alhydrogel adjuvant 2% was not conducted for the follow three reasons. First, previous studies in mice (Bremer et al., 2016), rats (Nguyen et al., 2018; Schwienteck et al., 2019a), and rhesus monkeys (Bremer et al., 2017) have consistently demonstrated that Scripps opioid vaccines, whether they target synthetic or natural opioids, only produce an immune response (antibodies) against the hapten utilized in the vaccine cocktail. In simple terms the vaccine components do not alter off-target opioid agonist potency. Thus, both ethical (i.e. replacement, reduction, and refinement) and financial considerations related to the use of nonhuman primates in biomedical research supported the rationale for not including a separate control vaccine group. Second, instead of a control vaccine group in a separate group of nonhuman primates, the structurally dissimilar opioid agonist oxycodone was utilized to provide experimental control and rigor to opioid sensitivity over time and a metric of vaccine selectivity using a within-subject longitudinal experimental design. Any apparent trends in oxycodone potency changes over the experimental time course are less than 3-fold, non-systematic when compared to fentanyl potency changes at similar timepoints, and within the normal variability of opioid agonist effects that we have reported in our previous nonhuman primate studies using these procedures and up to twice weekly opioid exposure conditions (Banks et al., 2010a; Banks et al., 2010b; Cornelissen et al., 2018; Cornelissen et al., 2019). Third, a post-hoc power analysis indicated that a sample size of 15 monkeys would be necessary to be adequately powered at the 0.8 level to detect an effect of this magnitude. Moreover, there was no significant effect of time on oxycodone potency at two levels of analysis (i.e. ANOVA or linear regression). Overall, these statistical and power analyses provide confidence that the vaccine was selective and produced clinically relevant fentanyl potency shifts in nonhuman primates.

Supplementary Material

1

Highlights.

  • Vaccine blunted fentanyl rate-suppression potency ~ 10-fold

  • Vaccine blunted fentanyl antinociceptive potency ~25-fold

  • Fentanyl vaccine was as effective as acute 0.032 mg/kg naltrexone

  • Vaccine was selective for fentanyl versus oxycodone

  • Antibody immune response ~ 3 nM affinity for fentanyl

Acknowledgements

We appreciate the technical assistance of Stacie Havens for the pharmacokinetic experiments.

Funding Sources and Disclosures:

This work was supported by the National Institutes of Health grants (UH3DA041146, P30DA033934, F32AI126628). NIDA had no role in study design, collection, analysis, and interpretation of the data, in the writing or decision to submit the manuscript for publication. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIDA. Tenney, Blake, Zhou, Poklis, and Banks report no conflicts of interest. KDJ is listed as an inventor on a Scripps Research Institute patent for the fentanyl-TT conjugate vaccine that has been licensed to Cessation Therapeutics. PTB is an employee at Cessation Therapeutics.

Footnotes

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References

  1. Baehr C, Pravetoni M, 2019. Vaccines to treat opioid use disorders and to reduce opioid overdoses. Neuropsychopharmacology 44, 217–218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Banks ML, Folk JE, Rice KC, Negus SS, 2010a. Selective enhancement of fentanyl-induced antinociception by the delta agonist SNC162 but not by ketamine in rhesus monkeys: Further evidence supportive of delta agonists as candidate adjuncts to mu opioid analgesics. Pharmacol Biochem Behav 97, 205–212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Banks ML, Olson ME, Janda KD, 2018. Immunopharmacotherapies for Treating Opioid Use Disorder. Trends Pharmacol Sci 39, 908–911. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Banks ML, Rice KC, Negus SS, 2010b. Antinociceptive Interactions between Mu-Opioid Receptor Agonists and the Serotonin Uptake Inhibitor Clomipramine in Rhesus Monkeys: Role of Mu Agonist Efficacy. J Pharmacol Exp Ther 335, 497–505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Barbosa-Leiker C, McPherson S, Layton ME, Burduli E, Roll JM, Ling W, 2018. Sex differences in opioid use and medical issues during buprenorphine/naloxone treatment. Am J Drug Alcohol Abuse 44, 488–496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bergman J, France CP, Holtzman SG, Katz JL, Koek W, Stephens DN, 2000. Agonist efficacy, drug dependence, and medications development: preclinical evaluation of opioid, dopaminergic, and GABAA-ergic ligands. Psychopharmacology 153, 67–84. [DOI] [PubMed] [Google Scholar]
  7. Bigelow GE, Preston KL, Schmittner J, Dong Q, Gastfriend DR, 2012. Opioid challenge evaluation of blockade by extended-release naltrexone in opioid-abusing adults: Dose–effects and time-course. Drug Alcohol Depend 123, 57–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Blanco C, Volkow ND, 2019. Management of opioid use disorder in the USA: present status and future directions. Lancet 393, 1760–1772. [DOI] [PubMed] [Google Scholar]
  9. Bremer PT, Janda KD, 2017. Conjugate Vaccine Immunotherapy for Substance Use Disorder. Pharmacol Rev 69, 298–315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bremer PT, Kimishima A, Schlosburg JE, Zhou B, Collins KC, Janda KD, 2016. Combatting Synthetic Designer Opioids: A Conjugate Vaccine Ablates Lethal Doses of Fentanyl Class Drugs. Angew Chem Int Ed Engl 55, 3772–3775. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bremer PT, Schlosburg JE, Banks ML, Steele FF, Zhou B, Poklis JL, Janda KD, 2017. Development of a clinically viable heroin vaccine. J Am Chem Soc 139, 8601–8611. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Butelman ER, Negus SS, Woods JH, Lewis JW, 1996. Clocinnamox antagonism of opioid suppression of schedule-controlled responding in rhesus monkeys. Psychopharmacology 123, 320–324. [DOI] [PubMed] [Google Scholar]
  13. Caldwell RG, Marshall P, Fishel J, 2016. Method validation and reference range values for a peripheral blood immunophenotyping assay in non-human primates. J Immunotoxicol 13, 64–76. [DOI] [PubMed] [Google Scholar]
  14. Ciccarone D, 2017. Fentanyl in the US heroin supply: A rapidly changing risk environment. Intl J Drug Policy 46, 107–111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Collins GT, Brim RL, Noon KR, Narasimhan D, Lukacs NW, Sunahara RK, Woods JH, Ko M-C, 2012. Repeated Administration of a Mutant Cocaine Esterase: Effects on Plasma Cocaine Levels, Cocaine-Induced Cardiovascular Activity, and Immune Responses in Rhesus Monkeys. J Pharmacol Exp Ther 342, 205–213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Comer SD, Sullivan MA, Yu E, Rothenberg JL, Kleber HD, Kampman K, Dackis C, O’Brien CP, 2006. Injectable, sustained-release naltrexone for the treatment of opioid dependence: a randomized, placebo-controlled trial. Arch Gen Psych 63, 210–218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Cornelissen JC, Obeng S, Rice KC, Zhang Y, Negus SS, Banks ML, 2018. Application of Receptor Theory to the Design and Use of Fixed-Proportion Mu-Opioid Agonist and Antagonist Mixtures in Rhesus Monkeys. J Pharmacol Exp Ther 365, 37–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Cornelissen JC, Steele FF, Tenney RD, Obeng S, Rice KC, Zhang Y, Banks ML, 2019. Role of mu-opioid agonist efficacy on antinociceptive interactions between mu agonists and the nociceptin opioid peptide agonist Ro 64-6198 in rhesus monkeys. Eur J Pharmacol 844, 175–182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Evans SM, Foltin RW, Hicks MJ, Rosenberg JB, De BP, Janda KD, Kaminsky SM, Crystal RG, 2016. Efficacy of an adenovirus-based anti-cocaine vaccine to reduce cocaine self-administration and reacqusition using a choice procedure in rhesus macaques. Pharmacol Biochem Behav 150–151, 76–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Finch JS, DeKornfeld TJ, 1967. Clinical Investigation of the Analgesic Potency and Respiratory Depressant Activity of Fentanyl, a New Narcotic Analgesic. J Clin Pharmacol J New Drugs 7, 46–51. [DOI] [PubMed] [Google Scholar]
  21. Haight BR, Learned SM, Laffont CM, Fudala PJ, Zhao Y, Garofalo AS, Greenwald MK, Nadipelli VR, Ling W, Heidbreder C, Andersen JL, Bailey GL, Bartley SR, Biunno MJ, Boyett B, Carr JM, Cifuentes E, Duarte-Sckell SD, Dueno OR, Harrison BJ, Hassman DR, Hoffman KS, Isacesu V, Ishaque S, Kakar R, Kampman K, Knapp RD, Konis G, Kunovac J, Kwentus JA, Levinson LS, Malhotra S, Mehra V, Mofsen RS, Peyton ML, Pujari GG, Ranjan R, Rutrick D, Seal G, Segal SD, Shiwach R, Thomas HM, Ventre PP, Vijapura AK, Walling DP, Wiest KL, 2019. Efficacy and safety of a monthly buprenorphine depot injection for opioid use disorder: a multicentre, randomised, double-blind, placebo-controlled, phase 3 trial. Lancet 393, 778–790. [DOI] [PubMed] [Google Scholar]
  22. Hambuchen MD, Rüedi-Bettschen D, Gunnell MG, Hendrickson H, Owens SM, 2016. Chronic treatment of (+)-methamphetamine-induced locomotor effects in rats using one or a combination of two high affinity anti-methamphetamine monoclonal antibodies. Hum Vaccin Immunother 12, 2240–2248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Hwang CS, Bremer PT, Wenthur CJ, Ho SO, Chiang S, Ellis B, Zhou B, Fujii G, Janda KD, 2018a. Enhancing Efficacy and Stability of an Antiheroin Vaccine: Examination of Antinociception, Opioid Binding Profile, and Lethality. Mol Pharm 15, 1062–1072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Hwang CS, Smith LC, Natori Y, Ellis B, Zhou B, Janda KD, 2018b. Improved Admixture Vaccine of Fentanyl and Heroin Hapten Immunoconjugates: Antinociceptive Evaluation of Fentanyl-Contaminated Heroin. ACS Omega 3, 11537–11543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Jarvis BP, Holtyn AF, Subramaniam S, Tompkins DA, Oga EA, Bigelow GE, Silverman K, 2018. Extended-release injectable naltrexone for opioid use disorder: a systematic review. Addiction 113, 1188–1209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Krupitsky E, Nunes EV, Ling W, Illeperuma A, Gastfriend DR, Silverman BL, 2011. Injectable extended-release naltrexone for opioid dependence: a double-blind, placebo-controlled, multicentre randomised trial. Lancet 377, 1506–1513. [DOI] [PubMed] [Google Scholar]
  27. Lee JD, Nunes EV, Novo P, Bachrach K, Bailey GL, Bhatt S, Farkas S, Fishman M, Gauthier P, Hodgkins CC, King J, Lindblad R, Liu D, Matthews AG, May J, Peavy KM, Ross S, Salazar D, Schkolnik P, Shmueli-Blumberg D, Stablein D, Subramaniam G, Rotrosen J, 2018. Comparative effectiveness of extended-release naltrexone versus buprenorphine-naloxone for opioid relapse prevention (X:BOT): a multicentre, open-label, randomised controlled trial. Lancet 391, 309–318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Maguire DR, France CP, 2014. Impact of Efficacy at the Mu-Opioid Receptor on Antinociceptive Effects of Combinations of Mu-Opioid Receptor Agonists and Cannabinoid Receptor Agonists. J Pharmacol Exp Ther 351, 383–389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Mars SG, Rosenblum D, Ciccarone D, 2018. Illicit fentanyls in the opioid street market: desired or imposed? Addiction. doi: 10.1111/add.14474 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Millan MJ, 1989. Kappa-opioid receptor-mediated antinociception in the rat. I. Comparative actions of mu- and kappa-opioids against noxious thermal, pressure and electrical stimuli. J Pharmacol Exp Ther 251, 334–341. [PubMed] [Google Scholar]
  31. Natori Y, Hwang CS, Lin L, Smith LC, Zhou B, Janda KD, 2019. A chemically contiguous hapten approach for a heroin-fentanyl vaccine. Beilstein J Org Chem 15, 1020–1031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Negus SS, Brandt MR, Gatch MB, Mello NK, 2003. Effects of heroin and its metabolites on schedule-controlled responding and thermal nociception in rhesus monkeys: sensitivity to antagonism by quadazocine, naltrindole and β-funaltrexamine. Drug Alcohol Depend 70, 17–27. [DOI] [PubMed] [Google Scholar]
  33. Negus SS, Burke TF, Medzihradsky F, Woods JH, 1993. Effects of opioid agonists selective for mu, kappa and delta opioid receptors on schedule-controlled responding in rhesus monkeys: antagonism by quadazocine. J Pharmacol Exp Ther 267, 896–903. [PubMed] [Google Scholar]
  34. Nguyen JD, Hwang CS, Grant Y, Janda KD, Taffe MA, 2018. Prophylactic vaccination protects against the development of oxycodone self-administration. Neuropharmacology 138, 292–303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Nussmeier NA, Benthuysen JL, Steffey EP, Anderson JH, Carstens EE, Eisele JH Jr., Stanley TH, 1991. Cardiovascular, respiratory, and analgesic effects of fentanyl in unanesthetized rhesus monkeys. Anesth Analg 72, 221–226. [DOI] [PubMed] [Google Scholar]
  36. O’Donnell J, Gladden R, Seth P, 2017. Trends in Deaths Involving Heroin and Synthetic Opioids Excluding Methadone, and Law Enforcement Drug Product Reports, by Census Region - United States, 2006-2015. MMWR Morb Mortal Wkly Rep 66, 897–903. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Poklis JL, Poklis A, Mohs AJ, Peace MR, Wolf CE, 2016. Identification of Drugs in Parenteral Pharmaceutical Preparations from a Quality Assurance and a Diversion Program by Direct Analysis in Real-Time AccuTOFTM-Mass Spectrometry (DART-MS). J Anal Toxicol 40, 608–616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Raleigh MD, Baruffaldi F, Peterson SJ, Le Naour M, Harmon TM, Vigliaturo JR, Pentel PR, Pravetoni M, 2019. A Fentanyl Vaccine Alters Fentanyl Distribution and Protects against Fentanyl-Induced Effects in Mice and Rats. J Pharmacol Exp Ther 368, 282–291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Schwienteck KL, Blake S, Bremer PT, Poklis JL, Townsend EA, Negus SS, Banks ML, 2019a. Effectiveness and selectivity of a heroin conjugate vaccine to attenuate heroin, 6-acetylmorphine, and morphine antinociception in rats: Comparison with naltrexone. Drug Alcohol Depend. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Schwienteck KL, Faunce KE, Rice KC, Obeng S, Zhang Y, Blough BE, Grim TW, Negus SS, Banks ML, 2019b. Effectiveness comparisons of G-protein biased and unbiased mu opioid receptor ligands in warm water tail-withdrawal and drug discrimination in male and female rats. Neuropharmacology 150, 200–209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Smith LC, Bremer PT, Hwang CS, Zhou B, Ellis B, Hixon MS, Janda KD, 2019. Monoclonal Antibodies for Combating Synthetic Opioid Intoxication. J Am Chem Soc 141, 10489–10503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Sullivan MA, Vosburg SK, Comer SD, 2006. Depot naltrexone: antagonism of the reinforcing, subjective, and physiological effects of heroin. Psychopharmacology 189, 37–46. [DOI] [PubMed] [Google Scholar]
  43. Torten M, Miller CH, Eisele JH, Henderson GL, Benjamini E, 1975. Prevention of the effects of fentanyl by immunological means. Nature 253, 565–566. [DOI] [PubMed] [Google Scholar]
  44. Townsend EA, Blake S, Faunce KE, Hwang CS, Natori Y, Zhou B, Bremer PT, Janda KD, Banks ML, 2019. Conjugate vaccine produces long-lasting attenuation of fentanyl vs. food choice and blocks expression of opioid withdrawal-induced increases in fentanyl choice in rats. Neuropsychopharmacology. doi: 10.1038/s41386-019-0385-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Tunstall BJ, Vendruscolo LF, 2019. Utility of fentanyl vaccines: unique challenges posed by preventing opioid overdose and treating opioid use disorder. Neuropsychopharmacology. doi: 10.1038/s41386-019-0418-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Vaccari M, Franchini G, 2010. Memory T cells in Rhesus macaques. Adv Exp Med Biol 684, 126–144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Volkow ND, Collins FS, 2017. The Role of Science in Addressing the Opioid Crisis. N Engl J Med 377, 391–394. [DOI] [PubMed] [Google Scholar]
  48. Walker EA, Makhay MM, House JD, Young AM, 1994. In vivo apparent pA2 analysis for naltrexone antagonism of discriminative stimulus and analgesic effects of opiate agonists in rats. J Pharmacol Exp Ther 271, 959–968. [PubMed] [Google Scholar]
  49. Weerts EM, Fantegrossi WE, Goodwin AK, 2007. The value of nonhuman primates in drug abuse research. Exp Clin Psychopharmacol 15, 309–327. [DOI] [PubMed] [Google Scholar]

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