Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 Feb 1.
Published in final edited form as: Addiction. 2019 Aug 4;115(2):239–246. doi: 10.1111/add.14735

Opioid use and dropout from extended-release naltrexone in a controlled trial: Implications for mechanism

Edward V Nunes 1, Adam Bisaga 1, Evgeny Krupitsky 2,3, Narinder Nangia 4, Bernard L Silverman 4, Sarah C Akerman 4, Maria A Sullivan 1,4
PMCID: PMC6980175  NIHMSID: NIHMS1040942  PMID: 31313402

Abstract

Background and aims

Extended-release formulations of naltrexone have emerged as effective treatment options for opioid use disorder. This post-hoc analysis examined the temporal relationship between episodes of opioid use and subsequent dropout in a placebo-controlled trial of extended-release injection naltrexone (XR-NTX) to draw inferences about the mechanism by which extended blockade of opioid receptors translates into clinical effectiveness.

Design

24-week multiple-site, double-blind, randomized trial of monthly XR-NTX versus placebo injections. We analyzed time to dropout from treatment using survival analysis with an extended Cox model as a function of treatment (XR-NTX vs placebo) and with weekly urine drug test (UDT) results for opioids at each week as a time-dependent covariate.

Setting

Thirteen addiction treatment programs in Russia; 2008–2009.

Participants

250 adults with opioid use disorder who had completed inpatient detoxification.

Intervention

XR-NTX injection or placebo injection every 4 weeks with weekly clinic visits and biweekly counseling.

Measurements

Urine toxicology for opioids measured weekly and week of dropout from treatment.

Findings

The Cox model yielded a significant interaction of time-dependent urine toxicology by treatment (P = 0.024). Among patients receiving placebo, a positive UDT in a given week increased the risk for dropout from treatment in the subsequent week (hazard ratio [HR], 6.25; 95% confidence interval [CI], 3.6–10.0), whereas among patients receiving XR-NTX, a positive UDT result showed no significant effect on risk for dropout (HR, 1.67; 95% CI, 0.6–4.5). The proportion of patients who completed all 24 weeks without any positive UDT result was 31% on XR-NTX compared with 20% on placebo (P = 0.051).

Conclusions

Extended-release injection naltrexone (XR-NTX) was effective at reducing the risk of dropout from opioid use disorder treatment after an episode of opioid use. Just under a third of patients (31%) on XR-NTX had no opioid-positive urine tests across the trial, but the hypothesis that this would differ from placebo (20%) was not confirmed.

Keywords: Extended-release naltrexone, opioid dependence, opioid use disorder, relapse, dropout, medication-assisted treatment

INTRODUCTION

Long-acting parenteral formulations of the opioid receptor antagonist naltrexone have emerged as a viable option for the treatment of opioid use disorder. Clinical trials with long-acting injectable [13] and implanted [4, 5] naltrexone have shown post-induction treatment retention rates in the 40% to 50% range over 6 months, comparable to retention rates from clinical trials of buprenorphine [68] and as shown in recent trials directly comparing these two approaches [9, 10], although retention data have been mixed in observational and retrospective studies [11, 12]. This raises interest in the mechanism of the effectiveness of long-acting naltrexone as a treatment strategy—i.e., how does sustained blockade of opioid receptors by naltrexone translate into good clinical response?

Naltrexone binds to opioid receptors with high affinity, blocking the subjective and physiological effects of opioid agonists [13]. Extended-release naltrexone (XR-NTX) is a monthly injection of naltrexone approved for the prevention of relapse to opioid dependence following detoxification from opioids. Naltrexone was originally developed and fast-tracked into clinical use in an oral formulation based on the seminal preclinical work of Wikler, who proposed that an opioid antagonist would be an effective treatment for opioid use disorder based on operant conditioning theory [1416]. Operant theory would suggest that extinction takes place during treatment with XR-NTX, as patients stop seeking opioids because episodes of opioid use are no longer reinforcing. Patients must be abstinent when they initiate XR-NTX, but subsequent opioid use in the absence of pharmacological blockade would be reinforcing and would engender resumption of regular opioid use. XR-NTX would prevent opioid reward and thus lead to extinction of opioid-taking behavior.

After the introduction of naltrexone, and partly as a result of clinical experience, it was recognized that the mechanism of naltrexone as treatment for opioid dependence is more complex than that proposed by operant theory. Classical conditioning, wherein drug and non-drug cues (e.g. environmental stimuli previously associated with opioid use) serve as triggers to resumed opioid use, may be attenuated by naltrexone [17]. Cognition is also likely involved—if patients take opioids and experience that the effects are blocked by a medication, they may not try opioids again unless they have stopped the medication and know it has worn off [14]. This is consistent with clinical experience, wherein, rather than gradual reduction of opioid use as in extinction, patients receiving XR-NTX often report trying just a single dose or a few doses (“hits”) of opioids, experiencing the blockade (“I felt nothing, and knew I was wasting my money”) then ceasing further use. A related cognitive mechanism would be expectancy—patients refrain from using opioids because they believe the effects will be blocked, even if they have not tested the blockade. An analogous expectancy mechanism has been suggested to explain the effectiveness of disulfiram for alcohol use disorder: patients believe they will get sick so they do not drink [18]. The superiority of XR-NTX in double-blind, placebo-controlled trials [1, 2] argues against expectancy as the sole explanation. Additionally, naltrexone, by supporting initial abstinence, may provide a respite from the drug-using lifestyle, support participation in psychosocial treatment, and thus promote development of personal and lifestyle changes consistent with recovery from addiction.

We previously reported a secondary analysis on a small, 2-month, placebo-controlled trial of two doses of XR-NTX extended-release naltrexone formulation (192 and 394 mg, the latter dose similar to the current approved formulation for XR-NTX) that suggested that mechanisms beyond extinction are at work [19]. Most XR-NTX patients who used opioids, or “tested the blockade” during the study continued with treatment, whereas most placebo patients who used opioids during the study dropped out of treatment. Among the patients receiving XR-NTX who had a positive urine drug test (UDT) result, most had only one or two additional positive UDT results; the rest of the test results were negative. These observations are consistent with an extinction mechanism, blockade of drug cue–induced relapse, or knowledge of blockade discouraging more use. Of further interest, a third (13/40) of patients receiving XR-NTX (at either half or full dose) completed the 8-week trial with no positive UDT results, compared with none (0/17) on placebo. This suggests that XR-NTX may exert an effect on the tendency to use opioids that does not depend on episodes of use or testing the blockade [19].

Here we report a similar retrospective analysis of the effect of opioid use during treatment in a large, 6-month, double-blind, placebo-controlled trial of XR-NTX [2]. We hypothesized that: 1) XR-NTX would reduce the risk for dropout after a positive UDT result compared with placebo; and 2) more patients receiving XR-NTX than receiving placebo would have no opioid-positive UDT results throughout the entire 6-month trial.

METHODS

Study design

The design, methods and primary outcome analysis for this trial have been reported [2]. Briefly, this was a randomized, double-blind, placebo-controlled trial (ClinicalTrials.gov, ) to test the efficacy of XR-NTX for the treatment of patients with opioid use disorder. Adults who met Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) criteria for opioid dependence were recruited from 13 inpatient treatment programs in Russia between July 3, 2008, and October 5, 2009. After providing informed consent, patients were eligible to be randomly assigned if they had completed detoxification within 30 days and had been abstinent from opioids for at least 7 days. Eligible patients were randomly assigned to active XR-NTX (n = 126) or matching placebo (n = 124) injections, administered before discharge from the inpatient unit and then every 4 weeks over 24 weeks of outpatient follow-up treatment. Patients were offered biweekly individual counseling for opioid dependence. The primary outcome analysis was a response profile analysis that showed XR-NTX, compared with placebo, was associated with more UDT-confirmed abstinent weeks [2]. A binary outcome reflecting good clinical response, defined as present and abstinent for at least 90% of weekly sessions, was also greater on XR-NTX (52%) than on placebo (31%; P=0.002) [20].

Statistical analysis

For this secondary analysis, time (weeks) to dropout from treatment over the 24-week study was analyzed using survival analysis with an extended Cox model; the UDT result for opioids (positive or negative) at each week was a time-dependent covariate. The last visit day for patients who dropped out in the randomized treatment phase, consisting of 168 days (24 weeks), was defined as the day of dropout. Patients who continued in the study beyond 24 weeks were censored. Dropout from treatment was chosen as the outcome measure for this analysis because it is the most common failure mode for XR-NTX treatment of opioid use disorder. Patients typically use few opioids while receiving XR-NTX but then drop out of treatment, after which relapse is likely [19, 21]. The risk for dropout at a given week of the study was modeled as a function of the history of positive UDT results for opioids during the treatment period, treatment assignment (XR-NTX vs placebo) and their interaction.

Model:logh(t)=α(t)+β1trt+β2udt(t)+β3trtudt(t)

In the model, h(t) represents the hazard of dropout from treatment at week t; udt(t) represents the part of the weekly UDT results history that influences the hazard of dropout at week t. The interaction between treatment and time-dependent UDT was included in the model to test the association between positive UDT results by a given week (week t) and the risk for dropout in the next week (week t + 1) in relation to treatment (XR-NTX or placebo). In effect, this model takes into account the time-dependent weekly UDT results that change values over the course of the observation period before the patient drops out of the study, and thus provides a more accurate analysis of the data as compared to estimating the risk of dropout at week t + 1. No imputations were made for non-monotone missing UDT results. Any non-monotone missing UDT results before dropout were considered missing at random and were included in the UDT result history as missing. To explore the impact of different assumptions about missingness, models were fit imputing non-monotone missing data in four alternative ways: by using last observation carried forward (LOCF), as negative, as positive, or treated as a separate class.

We also examined the temporal pattern of clinic attendance and opioid UDT results descriptively by creating a graph displaying each patient’s course over the 24-week trial, with each week marked (color coded) to indicate whether the patient attended treatment with an opioid-negative UDT result, the patient attended treatment with an opioid-positive UDT result, or the patient did not attend treatment. The number and proportion of patients with a positive UDT result in a given week, followed by dropout from treatment the next week, and the number and proportion of patients with all 24 weeks of UDT results present and negative (vs. 1 or more weeks positive or missing) were compared between treatment groups with a chi-square test. All tests were two-sided with an alpha level of 0.05.

RESULTS

Baseline patient characteristics are shown in Table 1. This sample of patients with opioid dependence admitted to inpatient programs consisted predominantly of male, white heroin users whose average duration of cumulative opioid dependence was just under a decade.

Table 1.

Patient baseline characteristics.

Characteristic XR-NTX
n = 126
Placebo
n = 124
Total
N = 250
Mean age, years (SD) 29.4 (4.8) 29.7 (3.6) 29.0 (4.8)
Male, n (%) 113 (89.7) 107 (86.3) 220 (88.0)
White 124 (98.4) 124 (100.0) 248 (99.2)
Opioids used within 30 days of baseline, n (%)
 Heroin 111 (88.1) 110 (88.7) 221 (88.4)
 Methadonea 11 (8.7) 18 (14.6) 29 (11.6)
 Prescription Opioidsb 21 (16.8) 12 (9.8) 33 (13.3)
Mean duration of opioid dependence, years (SD) 9.1 (4.5) 10.0 (3.9) 9.6 (4.2)

SD = standard deviation; XR-NTX = extended-release naltrexone.

a

XR-NTX, n = 126; placebo, n = 123.

b

XR-NTX, n = 125; placebo, n = 123.

The extended Cox model with treatment as a predictor and weeks of opioid use (UDT result positive) during the 24-week trial as a time-dependent covariate yielded a significant (hazard coefficient, −1.31; P = 0.024) interaction between treatment and episodes of opioid use (estimated effects were consistent when missing UDT results were replaced by self-reported opioid use: hazard coefficient, −1.34; P = 0.022). Among patients receiving placebo, positive UDT results in any preceding weeks increased the risk for dropout in a subsequent week by a factor of 6 (hazard ratio [HR], 6.25; 95% confidence interval [CI], 3.6–10.0), whereas among patients receiving XR-NTX, positive UDT results in any preceding weeks showed little effect on risk for dropout in a subsequent week (HR, 1.67; 95% CI, 0.6–4.5). Models run using a range of assumptions about the non-monotone missing data yielded similar treatment by episodes of use interactions: LOCF: coefficient = −1.33, P = 0.022; missing as negative: coefficient = −1.32, P = 0.024; missing as positive: coefficient = −1.39, P = 0.017; missing as a separate class: coefficient = −1.31, P = 0.024).

Figure 1 and Table 2 summarize the clinical course of each patient over the 24-week trial. In Figure 1, each row of dots represents a patient, and each column represents a week of the trial. The patient-rows are arranged in the following order: at the bottom, patients who attended all 24 weeks and had consistently negative UDT results; in the middle, patients who attended all 24 weeks and had one or more positive or missing UDT results; and at the top, patients who dropped out before completing the trial, arranged in order of the number of weeks completed.

Figure 1.

Figure 1.

Weekly treatment attendance and opioid UDT results across a 24-week placebo-controlled trial of XR-NTX for opioid dependence. Each row represents an individual patient’s 24-week course. Blue dots indicate weeks when the patient attended treatment and the UDT result was negative for opioids. Green triangles indicate weeks when the patient attended treatment and the UDT result was positive for opioids. Blanks indicate weeks with a missing UDT. UDT = urine drug test; XR-NTX = extended-release injection naltrexone.

Table 2.

Outcomes on XR-NTX vs placebo with respect to opioid use.

XR-NTX
n = 126
Placebo
n = 124
Rate Ratio
(95% CI)
Patients with ≥2 consecutive positive UDT results 4.8% (6) 12.9% (16) 0.37 (0.15–0.91)
Dropout immediately preceded by a positive UDT result 3.2% (4) 16.1% (20) 0.20 (0.07–0.56)
Completed the study with no positive or missing UDT results 31.0% (39) 20.2% (25) 1.53 (0.99–2.38)

UDT = urine drug test; XR-NTX = extended-release naltrexone.

Several patterns emerge on inspection of Figure 1. First, among the patients shown in the upper portion and who eventually dropped out, more patients receiving placebo showed a pattern by which a week with a positive UDT result (green triangle) was followed by dropout the next week: 20/124 patients (16%) receiving placebo compared with 4/126 patients (3%) receiving XR-NTX (P < 0.001), consistent with the finding of the Cox model. Meanwhile, an equal number of patients receiving placebo (52/124; 42%) and patients receiving XR-NTX (52/126; 41%) had a negative UDT result in the week before dropout. Second, in the group receiving XR-NTX, weeks of opioid use (green triangles) tended to occur in isolation—a positive week was followed immediately by a negative week. In one or more instances in 16/124 patients (13%) receiving placebo, a week with a positive UDT result was followed immediately by another week with a positive UDT result, whereas only 6/126 patients (5%) receiving XR-NTX showed this pattern of consecutive weeks of positive UDT results (P = 0.04). Finally, on inspection of the lower portion of Figure 1, more patients receiving XR-NTX (31%; 39/126) were present and had negative UDT results across all 24 weeks compared with those receiving placebo (20%; 25/124) (P = 0.051).

DISCUSSION

In accordance with our hypothesis, XR-NTX in this post hoc analysis was associated with a reduced risk for dropout from treatment immediately after episodes of opioid use, whereas for those receiving placebo, the risk for dropout after episodes of opioid use was high. This observation replicates the finding of our previous study [19] and suggests XR-NTX prevents episodes of opioid use (testing the blockade) from turning into dropout from treatment and presumably into relapse. This finding is consistent with the therapeutic mechanism suggesting that blockade by XR-NTX of reinforcing effects of opioids during episodes of use (testing the blockade) leads to the cessation of opioid-taking behavior. Inspection of Figure 1 also suggests that among patients receiving XR-NTX who showed evidence of opioid use, use was sporadic; most weeks being opioid-negative, with the occasional positive week occurring in isolation and not followed by one or more consecutive positive weeks. These findings also suggest the importance of XR-NTX blocking the reinforcing or priming effects of opioids when patients test the blockade.

In addition, we sought to test the hypothesis that XR-NTX would reduce the proportion of patients who test the blockade at all. This hypothesis was prompted by our previous study [19], which showed that a third of patients treated with long-acting naltrexone showed no evidence of opioid use across that 8-week trial. This complete lack of opioid use suggests an effect of XR-NTX on the tendency to use opioids that does not depend on testing the blockade. In the present trial, the proportion of patients who attended all 24 weeks and showed no evidence of opioid use (i.e. did not test the blockade) was numerically greater in patients receiving XR-NTX (31%) than in those receiving placebo (20%), but the difference was not significant (P = 0.051).

Clinical experience and data from other trials suggest that patients with opioid use disorder maintained on XR-NTX (once they complete detoxification and transition to XR-NTX) generally feel well and experience improved mood and reduced craving [22, 23]. This inference is supported by the finding in the primary outcome report from this trial that subjective craving for opioids was reduced with XR-NTX compared with placebo [2]. These findings run contrary to the traditional theory that persons with opioid use disorder have an inherent deficit in endogenous opioid activity and that blockade of opioid receptors would make them feel worse and would provoke craving. Blockade of opioid receptors by naltrexone might block conditioned drug-like effects [24], thereby blocking cue-induced craving and associated dysphoria. Several studies have suggested that long-acting naltrexone attenuates subjective craving in response to heroin cues and modulates the brain response to cues [2527], although, for ethical reasons in a treatment-seeking population, these studies did not include placebo controls; thus non-specific effects cannot be ruled out. Naltrexone might reduce dysphoria and increase well-being by blocking kappa receptors, though most animal models of antidepressant effects have studied more specific kappa antagonists [28, 29], or by blocking autoreceptors leading to increased release of endogenous opioids [30]. Such mechanisms might underlie beneficial effects of naltrexone in the absence of testing of the blockade.

The rate of placebo response in this trial is notable; 31% of patients receiving placebo achieved at least 90% abstinence [20], and 20% on placebo were present and abstinent across all 24 weekly visits. This placebo response could be related to the psychosocial platform of the clinical trial. Patients received counseling as part of the trial, and to be eligible for the trial, patients had to have a supportive family member available to supervise adherence to clinic visits. It is possible that an expectancy effect—the belief that effects of opioid use will be blocked with the long-lasting injection, reducing craving and motivation to seek opioids—was operating for at least some patients. And finally, patients’ fear of repercussions for relapse may also have been operating, given that the study was conducted in Russia, where opioid addiction is particularly stigmatized.

Studies of oral naltrexone for treatment of opioid use disorder have yielded considerably higher dropout rates, with typically 70% or more dropping out by 6 months [5, 8, 3133], and results inferior to injection or implant naltrexone in head-to-head trials [5, 8]. The blockade wears off a few days after discontinuing oral naltrexone, whereas taking an injection of XR-NTX is a commitment to at least 4 weeks of blockade, and patients are aware of this. The low frequency of testing the blockade illustrated in the present data suggests a role for cognition (a patient takes opioids, experiences the blockade and knows it will endure at least 4 weeks after the last injection) or expectation of the clinical effectiveness of injection naltrexone.

Limitations of this analysis include its post hoc nature and the use of dropout from treatment as a proxy for relapse, used because patients were not followed up after dropout from treatment in this trial. Dropout is certainly a key clinical phenomenon in medication treatment of opioid use disorder, and longitudinal studies show discontinuation of medication is associated with relapse to opioid use [34, 35]. Follow-up of patients with opioid use disorder after dropout from treatment is challenging but should be attempted in future trials of this type. There are limitations to the effort to infer the clinical mechanism of XR-NTX from the types of outcome data presented here. The data available from such a trial are focused on basic clinical outcomes, appropriate for a pivotal clinical trial such as this but rudimentary to address mechanism. Potential mechanisms that would involve blockade by naltrexone of the effects of opioids (i.e. episodes of testing the blockade) include operant extinction, blockade of the cue or priming effect of doses of opioids, or rule-governed behavior based on knowledge that opioid effects are blocked. Potential mechanisms not involving testing of the blockade could include attenuation by naltrexone of the conditioned effects of non-drug cues, or reductions in craving or anhedonia. To tease apart these alternatives, specifically designed studies would be needed. For example, several studies have examined and support an effect of naltrexone on cue-induced craving among patients with alcohol use disorder [3638]. A small study showed persons with opioid use disorder experienced craving in response to both drug cues and stress, though the study was not placebo controlled [39]. As noted, studies with a before-and-after within-subjects design suggest XR-NTX attenuates cue response [2527]. More work of this type is needed in opioid-dependent patients treated with XR-NTX.

In summary, this post-hoc analysis supports the premise that XR-NTX reduces the risk for dropout from treatment after an episode of opioid use (testing the blockade). The low frequency of weeks positive for opioids on XR-NTX is also notable. These data support the model that XR-NTX, by blocking the reinforcing effects of opioids, leads to extinction of opioid-taking behaviour, or blocks cue or priming effects of doses of opioids. From a clinical perspective, the data highlight the importance of regular adherence to XR-NTX. As long as a patient continues to receive the monthly injection of XR-NTX, the patient is likely to remain mostly, if not entirely, abstinent. Even if the patient has occasional episodes of use, he or she will be relatively protected from relapse and treatment dropout, although negative consequences of an opioid use episode (e.g. HIV or other infections due to unsafe injection practices) remain. The hypothesis that more patients receiving XR-NTX than receiving placebo would show no evidence of opioid use at all throughout the trial was not supported, as the difference was not statistically significant. The observed difference was in the predicted direction, and just under a third of patients (31%) on XR-NTX showed no opioid-positive urine tests across the 24 week trial. This seems of heuristic interest, meriting further attention to the idea that naltrexone might exert an effect on drug taking that does not depend on testing of the blockade - perhaps blockade of craving triggered by non-drug cues, or blockade at autoreceptors or kappa receptors. Delineating the precise mechanisms through which naltrexone exerts its beneficial effects on opioid use disorder may be helpful to future treatment development efforts, from designing behavioral regimens, to improving adherence to XR-NTX, to steering the development of new pharmacotherapies.

ACKNOWLEDGEMENTS

The authors thank the study site coordinators, investigators and patients for their involvement in the study. Editorial support for the preparation of this manuscript, under the guidance of the authors, was provided by ApotheCom, USA.

Conflict of Interest Information [for the past 3 years]

Edward V. Nunes has participated as an unpaid consultant on advisory boards for Alkermes, Inc., has served as an investigator on a multi-site trial funded by Braeburn, and has received medication for a NIDA-funded study from Reckitt (Indivior).

A.B. has received honoraria, consultation fees and travel reimbursement for training, medical editing and market research from UN Office on Drugs and Crime, Motive Medical Intelligence, Healthcare Research Consulting Group, GLG Research Group and Guidepoint Global. Dr. Bisaga received compensation from Indivior for an unbranded educational activity. He received medication (extended-release naltrexone) from Alkermes for NIH-funded research studies, was an investigator for a multi-site clinical trial funded by Alkermes and served as an unpaid consultant to Alkermes.

Evgeny Krupitsky has been a consultant for Alkermes, Inc., and has received research funding from Alkermes, Inc.

N.N., B.L.S. and S.C.A are employees of and shareholders in Alkermes, Inc.

M.A.S. is an employee of and shareholder in Alkermes, Inc., and received medication (extended-release naltrexone) from Alkermes for NIH-funded research studies.

Conflict of interest information as required by Addiction

• COI details for past 3 years

○ Authors are also required to declare any financial conflict of interest arising from involvement with organizations that seek to provide help with or promote recovery from addiction. Any contractual constraints on publishing imposed by the funder must also be disclosed

DATA SHARING STATEMENT

The data collected in this study are proprietary to Alkermes, Inc. Alkermes, Inc. is committed to public sharing of data in accordance with applicable regulations and laws.

REFERENCES

  • 1.Comer SD, Sullivan MA, Yu E, Rothenberg JL, Kleber HD, Kampman K et al. Injectable, sustained-release naltrexone for the treatment of opioid dependence: a randomized, placebo-controlled trial, Arch Gen Psychiatry 2006: 63: 210–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Krupitsky E, Nunes EV, Ling W, Illeperuma A, Gastfriend DR, Silverman BL Injectable extended-release naltrexone for opioid dependence: a double-blind, placebo-controlled, multicentre randomised trial, The Lancet 2011: 377: 1506–13. [DOI] [PubMed] [Google Scholar]
  • 3.Lee JD, Friedmann PD, Kinlock TW, Nunes EV, Boney TY, Hoskinson RA Jr. et al. Extended-release naltrexone to prevent opioid relapse in criminal justice offenders, N Engl J Med 2016: 374: 1232–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Hulse GK, Morris N, Arnold-Reed D, Tait RJ Improving clinical outcomes in treating heroin dependence: randomized, controlled trial of oral or implant naltrexone, Arch Gen Psychiatry 2009: 66: 1108–15. [DOI] [PubMed] [Google Scholar]
  • 5.Krupitsky E, Zvartau E, Blokhina E, Verbitskaya E, Wahlgren V, Tsoy-Podosenin M et al. Randomized trial of long-acting sustained-release naltrexone implant vs oral naltrexone or placebo for preventing relapse to opioid dependence, Arch Gen Psychiatry 2012: 69: 973–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mattick RP, Breen C, Kimber J, Davoli M Buprenorphine maintenance versus placebo or methadone maintenance for opioid dependence, Cochrane Database of Systematic Reviews 2014: 2: CD002207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hser YI, Saxon AJ, Huang D, Hasson A, Thomas C, Hillhouse M et al. Treatment retention among patients randomized to buprenorphine/naloxone compared to methadone in a multi-site trial, Addiction 2014: 109: 79–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Sullivan M, Bisaga A, Pavlicova M, Carpenter K, Choi J, Mishlen K et al. A randomized trial comparing extended-release injectable suspension and oral naltrexone, both combined with behavioral therapy, for the treatment of opioid use disorder, Am J Psychiatry 2018: 176: 129–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Tanum L, Solli KK, Latif Z, Benth JS, Opheim A, Sharma-Haase K et al. The effectiveness of injectable extended-release naltrexone vs daily buprenorphine-naloxone for opioid dependence: a randomized clinical noninferiority trial, JAMA Psychiatry 2017: 4: 1197–205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Lee JD, Nunes EV Jr., Novo P, Bachrach K, Bailey GL, Bhatt S et al. Comparative effectiveness of extended-release naltrexone versus buprenorphine-naloxone for opioid relapse prevention (X:BOT): a multicentre, open-label, randomised controlled trial, The Lancet 2018: 391: 309–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Saxon AJ, Akerman SC, Liu CC, Sullivan MA, Silverman BL, Vocci FJ Extended-release naltrexone (XR-NTX) for opioid use disorder in clinical practice: Vivitrol’s Cost and Treatment Outcomes Registry, Addiction 2018: 113: 1477–1487. [DOI] [PubMed] [Google Scholar]
  • 12.Morgan JR, Schackman BR, Leff JA, Linas BP, Walley AY Injectable naltrexone, oral naltrexone, and buprenorphine utilization and discontinuation among individuals treated for opioid use disorder in a United States commercially insured population, J Subst Abuse Treat 2018: 85: 90–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Comer SD, Collins ED, Kleber HD, Nuwayser ES, Kerrigan JH, Fischman MW Depot naltrexone: long-lasting antagonism of the effects of heroin in humans, Psychopharmacology 2002: 159: 351–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ling W, Mooney L, Wu LT Advances in opioid antagonist treatment for opioid addiction, Psychiatr Clin North Am 2012: 35: 297–308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wikler A The theoretical basis of narcotic addiction treatment with narcotic antagonists, NIDA Res Monogr 1976: 119–22. [DOI] [PubMed] [Google Scholar]
  • 16.Wikler A Methadone maintenance and narcotic blocking drugs, Int J Addict 1977: 12: 851–6. [DOI] [PubMed] [Google Scholar]
  • 17.O’brien CP, Childress AR, Mclellan AT, Ternes J, Ehrman RN Use of naltrexone to extinguish opioid-conditioned responses, J Clin Psychiatry 1984: 45: 53–6. [PubMed] [Google Scholar]
  • 18.Wright C, Moore RD Disulfiram treatment of alcoholism, Am J Med 1990: 88: 647–55. [DOI] [PubMed] [Google Scholar]
  • 19.Sullivan MA, Bisaga A, Mariani JJ, Glass A, Levin FR, Comer SD et al. Naltrexone treatment for opioid dependence: does its effectiveness depend on testing the blockade?, Drug Alcohol Depend 2013: 133: 80–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Nunes EV, Krupitsky E, Ling W, Zummo J, Memisoglu A, Silverman BL et al. Treating opioid dependence with injectable extended-release naltrexone (XR-NTX): Who will respond?, J Addict Med 2015: 9: 238–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Sullivan MA, Bisaga A, Glass A, Mishlen K, Pavlicova M, Carpenter KM et al. Opioid use and dropout in patients receiving oral naltrexone with or without single administration of injection naltrexone, Drug Alcohol Depend 2015: 147: 122–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Mysels DJ, Cheng WY, Nunes EV, Sullivan MA The association between naltrexone treatment and symptoms of depression in opioid-dependent patients, Am J Drug Alcohol Abuse 2011: 37: 22–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Krupitsky E, Zvartau E, Blokhina E, Verbitskaya E, Wahlgren V, Tsoy-Podosenin M et al. Anhedonia, depression, anxiety, and craving in opiate dependent patients stabilized on oral naltrexone or an extended release naltrexone implant, Am J Drug Alcohol Abuse 2016: 42: 614–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Siegel S, Ramos BM Applying laboratory research: drug anticipation and the treatment of drug addiction, Exp Clin Psychopharmacol 2002: 10: 162–83. [DOI] [PubMed] [Google Scholar]
  • 25.Langleben DD, Ruparel K, Elman I, Loughead JW, Busch EL, Cornish J et al. Extended-release naltrexone modulates brain response to drug cues in abstinent heroin-dependent patients, Addict Biol 2014: 19: 262–71. [DOI] [PubMed] [Google Scholar]
  • 26.Shi Z, Wang AL, Jagannathan K, Fairchild VP, O’brien CP, Childress AR et al. Effects of extended-release naltrexone on the brain response to drug-related stimuli in patients with opioid use disorder, J Psychiatry Neurosci 2018: 43: 170036. [DOI] [PubMed] [Google Scholar]
  • 27.Wang AL, Elman I, Lowen SB, Blady SJ, Lynch KG, Hyatt JM et al. Neural correlates of adherence to extended-release naltrexone pharmacotherapy in heroin dependence, Transl Psychiatry 2015: 5: e531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Falcon E, Browne CA, Leon RM, Fleites VC, Sweeney R, Kirby LG et al. Antidepressant-like effects of buprenorphine are mediated by kappa opioid receptors, Neuropsychopharmacology 2016: 41: 2344–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Mague SD, Pliakas AM, Todtenkopf MS, Tomasiewicz HC, Zhang Y, Stevens WC et al. Antidepressant-like effects of κ-opioid receptor antagonists in the forced swim test in rats, J Pharmacol Exp Ther 2003: 305: 323–30. [DOI] [PubMed] [Google Scholar]
  • 30.Kosten TR, Kreek M-J, Ragunath J, Kleber HD A preliminary study of beta endorphin during chronic naltrexone maintenance treatment in ex-opiate addicts, Life Sciences 1986: 39: 55–59. [DOI] [PubMed] [Google Scholar]
  • 31.Krupitsky E, Zvartau E, Blokhina E, Verbitskaya E, Tsoy M, Wahlgren V et al. Naltrexone with or without guanfacine for preventing relapse to opiate addiction in St.-Petersburg, Russia, Drug Alcohol Depend 2013: 132: 674–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Krupitsky EM, Zvartau EE, Masalov DV, Tsoy MV, Burakov AM, Egorova VY et al. Naltrexone with or without fluoxetine for preventing relapse to heroin addiction in St. Petersburg, Russia, J Subst Abuse Treat 2006: 31: 319–28. [DOI] [PubMed] [Google Scholar]
  • 33.Nunes EV, Rothenberg JL, Sullivan MA, Carpenter KM, Kleber HD Behavioral therapy to augment oral naltrexone for opioid dependence: a ceiling on effectiveness?, Am J Drug Alcohol Abuse 2006: 32: 503–17. [DOI] [PubMed] [Google Scholar]
  • 34.Weiss RD, Potter JS, Griffin ML, Provost SE, Fitzmaurice GM, Mcdermott KA et al. Long-term outcomes from the National Drug Abuse Treatment Clinical Trials Network Prescription Opioid Addiction Treatment Study, Drug Alcohol Depend 2015: 150: 112–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Hser Y-I, Huang D, Saxon AJ, Woody G, Moskowitz AL, Matthews AG et al. Distinctive trajectories of opioid use over an extended follow-up of patients in a multi-site trial on buprenorphine+naloxone and methadone, Journal of Addiction Medicine 2017: 11: 63–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Myrick H, Anton RF, Li X, Henderson S, Randall PK, Voronin K Effect of naltrexone and ondansetron on alcohol cue–induced activation of the ventral striatum in alcohol-dependent people, Archives of General Psychiatry 2008: 65: 466–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Monti PM, Rohsenow DJ, Swift RM, Gulliver SB, Colby SM, Mueller TI et al. Naltrexone and cue exposure with coping and communication skills training for alcoholics: treatment process and 1-year outcomes, Alcohol Clin Exp Res 2001: 25: 1634–47. [PubMed] [Google Scholar]
  • 38.Kruse MI, Radnovich AJ, Kalapatapu RK, Mehdiyoun N, Chambers RA, Davidson D Effects of alcohol availability, access to alcohol, and naltrexone on self-reported craving and patterns of drinking in response to an alcohol-cue availability procedure, J Stud Alcohol Drugs 2012: 73: 205–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Hyman SM, Fox H, Hong K-IA, Doebrick C, Sinha R Stress and drug-cue-induced craving in opioid-dependent individuals in naltrexone treatment, Exp Clin Psychopharmacol 2007: 15: 134–43. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES