Skip to main content
Article Open Access

Unopposed alpha-1 constriction: a critical review of beta blocker use in cocaine-associated cardiovascular events

  • , , and EMAIL logo
Published/Copyright: April 24, 2026

Abstract

Context

Cocaine-associated cardiovascular events pose significant challenges in primary care settings, where outpatient physicians often serve as the first point of contact for patients with both acute and chronic cardiovascular complications. Current guidelines discourage the use of beta blockers in cocaine-related acute coronary syndrome (ACS) due to concerns of unopposed alpha-1 constriction, but emerging evidence questions the validity of this caution. Primary care physicians frequently manage patients with heart failure and comorbid substance use disorders, highlighting the need for clarity on beta blocker safety and efficacy in this population.

Objectives

This review aimed to systematically evaluate the evidence of unopposed alpha stimulation when prescribing beta blockers in people who utilize cocaine, as well as the safety and efficacy of beta blockers in managing heart failure in this population.

Methods

PubMed was searched from April 1968 through August 2024 utilizing the search terms “cocaine”, “beta blocker”, and several commonly prescribed beta blockers. The screening process was performed by two authors (CKG and JJ), with discrepancies resolved by a third reviewer (CY). The inclusion criteria encompassed original human studies examining the outcomes of patients utilizing cocaine who were treated with beta blockers. The exclusion criteria consisted of studies lacking beta blocker intervention and articles not written in English. The extracted data from each article included the study type, purpose, design, time period, data source, sample size, follow-up duration, clinical intervention, outcomes, and mortality. Critical appraisal skills programme (CASP) checklists for bias analysis were completed for each non–case study article. Different artificial intelligence (AI) bots (Gemini, Microsoft CoPilot, and ChatGPT) were utilized in helping with the completion of the checklists with comparison across the three different platforms and then cross-referenced with the article text itself. The reviewers completed the final risk-of-bias determination without the use of AI.

Results

The search identified 156 articles, with two duplicates being removed. The remaining 154 articles were screened for relevance, and 116 were excluded based on the inclusion and exclusion criteria outlined in the methods. Of the 38 potentially relevant articles, full-text review led to the exclusion of 12 articles, which ultimately led to 26 articles being included in this review.

Conclusions

Current evidence suggests that the risk of unopposed alpha-1 constriction with beta blockers in cocaine-associated cardiovascular events may be overstated. Mixed alpha/beta blockers and beta-1 selective agents were associated with favorable hemodynamic control with minimal reported adverse events. For outpatient physicians, these findings support a more nuanced approach to beta blocker use in patients with a history of cocaine use, emphasizing the need for further randomized controlled trials to refine guidelines and optimize patient care in primary care settings.

Introduction

Cocaine use has been increasing in the United States since 2011, with approximately 5 million adults admitting to active cocaine use in 2022 [1], 2]. A study in 2022 found that over 42 million adults in the United States reported a prior history of cocaine use in their lifetime [2].

Cocaine use is linked to a wide range of cardiovascular conditions, including myocardial infarction (MI), heart failure, cardiomyopathy, arrhythmias, aortic dissection, and endocarditis [3]. The Substance Abuse and Mental Health Services Administration (SAMHSA) reported in 2022 that cocaine is one of the leading causes of drug-related emergency department visits, with chest pain being the most frequent complaint with cocaine toxicity [4]. Although beta blockers are a cornerstone of acute MI management, their use in people who utilize cocaine is often withheld at the emergency department due to concerns of potentiating unopposed alpha-1 stimulation [5], [6], [7]. This caution has extended beyond the emergency department, carrying over into heart failure management, where beta blockers are standard therapy but are often withheld in people who utilize cocaine due to the same perceived risks. Indeed, the 2013 American College of Cardiology Foundation and the American Heart Association (ACCF/AHA) Guideline for Management of Heart Failure label beta blockers as a class I recommendation for preserving ejection fraction and reducing mortality/morbidity in heart failure patients [8]. However, these same guidelines state that, due to limited evidence, the safety and efficacy of beta blockers for treating heart failure related to cocaine use are uncertain.

The mechanism and occurrence of unopposed alpha-1 constriction has been a subject of debate in recent years [9]. Cocaine exerts its effects by directly inhibiting catecholamine transporters, leading to increased alpha- and beta-adrenergic stimulation that can have a myriad of adverse cardiovascular effects including increased heart rate (HR), blood pressure (BP), and myocardial contractility [10]. The phenomenon of unopposed alpha-1 stimulation occurs when the balance of cocaine’s alpha-1 and beta-2 stimulation is offset by beta blockade, which can theoretically lead to an increase in BP and coronary artery vasospasm. Furthermore, beta-1 inactivation leads to a decreased HR and an increased end diastolic volume, which due to the Frank-Starling mechanism, can lead to stronger contractility and a further increase in BP [9]. The first clinical observation of this was reported in the late 1980s, with subsequent preclinical and clinical studies corroborating these findings [9], 11]. However, in recent years, emerging evidence has questioned this phenomenon [9]. Of note, a 2017 article co-authored by many of the original researchers on this phenomenon concurs that further research is necessary to fully elucidate the mechanism and causality of beta blockers in producing unopposed alpha-1 constriction [9]. This discrepancy highlights a gap between historical caution and contemporary clinical data. Addressing this gap could provide clearer guidance for primary care physicians managing heart failure in patients who utilize cocaine.

Therefore, the aim of this study is to summarize the evidence of adverse events with beta blocker therapy in people with active cocaine use, which has primarily been documented in the context of acute cocaine toxicity. Finally, a specific focus was placed on the safety and efficacy of beta blockers in the long-term management of heart failure among people who utilize cocaine in a primary care setting.

Methods

A medical research librarian (JA) assisted in the development of a systematic search strategy following the PRESS protocol (cda-amc.ca) utilized to identify references of interest in MEDLINE (PubMed). The search included publications from April 1968 through August 2024 and was completed on July 24, 2025. The full electronic search strategy is provided in Appendix 1. The inclusion criteria encompassed original human studies examining the outcomes of patients utilizing cocaine who were treated with beta blockers. The exclusion criteria consisted of studies lacking beta blocker intervention and articles not written in English. The extracted data from each article included the study type, purpose, design, time period, data source, sample size, follow-up duration, clinical intervention, outcomes, and mortality.

Two reviewers (CKG and JJ) independently screened the title, abstracts, and full-text. Discrepancies were resolved through discussion between the two reviewers. If consensus could not be reached, a third reviewer (CY) was consulted. During the screening and full-text phase, conflicts occurred in a subset of articles and were resolved with the need for third-party adjudication. All reviews were conducted utilizing Covidence (www.covidence.org).

Critical appraisal skills programme (CASP) checklists for bias analysis were completed for each non–case study article. Different artificial intelligence (AI) bots (Gemini, Microsoft Copilot, and ChatGPT) were utilized in helping with the completion of the checklists, with comparison across the three different platforms, and they were cross-referenced with the article texts. The final risk-of-bias assessment was performed by the authors without the use of AI.

Results

The combination of search terms yielded 156 articles, from which two duplicates were removed (Figure 1). The remaining 154 articles were screened for relevance, and 116 were excluded utilizing the criteria mentioned in the Methods section. The remaining 38 potentially relevant articles were screened for full text-review, and 12 of them were excluded because they had the wrong outcomes (n=6), the wrong study design (n=4), or the wrong intervention (n=2). This yielded 26 articles that were ultimately included in this review.

Figure 1: 
A preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow diagram of the articles included in this systematic review.
Figure 1:

A preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow diagram of the articles included in this systematic review.

Unopposed alpha-1 constriction

In this section, we summarize previous studies that support the phenomenon of beta blocker imposed unopposed alpha-1 constriction in patients actively utilizing cocaine (Table 1).

Table 1:

A breakdown of the studies involving beta blocker and cocaine use.

Study Study type Type of beta blocker Number of participants Summary Outcome
Outcomes of beta blocker therapy during active cocaine toxicity

Ramoska and Sacchetti (1985) [11] Case report Propranolol 1 BB decreased HR but increased BP
Lange et al. (1990) [12] Prospective randomized, double-blind, controlled Intracoronary propranolol 10 BB decreased coronary sinus blood flow (p<0.05) and increased coronary vascular resistance (p<0.05)
Boehrer et al. (1993) [13] Prospective controlled Labetalol 9 BB decreased arterial pressure (p<0.05) with no effect on coronary arterial area +
Mohamad et al. (2008) [14] Retrospective Unspecified 364 BB associated with higher MI incidence
Sand et al. (1991) [15] Prospective cohort Esmolol 7 Inconsistent effect on HR and BP. There were adverse events requiring intervention in 4 patients (2 incidents of hypertension, hypotension, and emesis/lethargy) +/−
Fareed et al. (2007) [16] Case report Metoprolol 1 Diazepam and nitroglycerin failed to resolve tachycardia, BB was given, and patient developed cardiac arrest
Rappolt et al. (1976) [17] Case report Propranolol 1 BB attenuated hypertension and tachycardia +
Gay and Loper (1988) [17] Case report Labetalol 1 BB attenuated hypertension and tachycardia +
Richards et al. (2017) [18] Case report Labetalol 1 BB resolved chest pain, attenuated hypertension and tachycardia +
Richards et al. (2017) [19] Case report Labetalol 1 BB attenuated hypertension and tachycardia +
Ibrahim et al. (2013) [20] Retrospective Metoprolol, atenolol, labetalol, carvedilol 378 BB use not associated with troponin elevation +
Fanari et al. (2014) [21] Retrospective Metoprolol, atenolol, labetalol, carvedilol 376 No change in peak troponin levels or adverse events between BB and non-BB intervention +/−
Cediel et al. (2018) [22] Prospective observational cohort Unspecified 57 In median follow-up of 4.0 years, BB was associated with lower MACE and higher 90-day survival +
Sofuoglu et al. (2000) [23] Prospective randomized, double-blind, controlled Carvedilol 12 BB attenuated BP (p<0.05) and HR (p<0.05) +
Sofuoglu et al. (2000) [24] Prospective randomized, double-blind, controlled Labetalol 12 BB attenuated increase in BP (p<0.05) and HR (p<0.05) +
Vongpatanasin et al. (1999) [25] Prospective, randomized, double-blind, controlled Propranolol 14 BB attenuated tachycardia (p<0.05) +
Dattilo et al. (2008) [26] Retrospective Metoprolol, atenolol, labetalol, propranolol, carvedilol 348 BB associated with lower incidence of MI +
Rangel et al. (2010) [27] Retrospective Metoprolol, atenolol, labetalol, propranolol, carvedilol 328 BB associated with reduction in SBP and mortality +
Hoskins et al. (2010) [28] Prospective cohort Diltiazem, labetalol 90 BB decreased SBP, HR +
Ocal et al. (2015) [29] Case report Carvedilol 1 BB resolved tachycardia +
Pollan and Tadjziech (1989) [30] Case report Esmolol 1 BB resolved hypertension and tachycardia after failure with nitroglycerin and digoxin +

Outcomes of beta blocker therapy in heart failure patients who utilize cocaine

Lopez et al. (2018/2019) [31], 32] Retrospective Metoprolol, carvedilol 38 No MACE reported in 12-month period with BB use +/−
Egbuche et al. [33], 34] (2018) Retrospective Metoprolol, carvedilol 268 BB associated with lower 30-day heart failure readmission +
Garry et al. (2022) [35] Retrospective Metoprolol, carvedilol 746 1-year mortality or 30-day readmission similar between BB and non-BB groups +/−
Banerji et al. (2019) [34] Retrospective Carvedilol 503 BB and non-BB similar MACE in 19-month period. Notably, in HFrEF patients, carvedilol lowered MACE. +
  1. BB, beta blocker; BP, blood pressure; HR, heart rate; HfrEF, heart failure reduced ejection fraction; MACE, major adverse cardiovascular event; MI, myocardial infarction; SBP, systolic blood pressure. Outcome symbols: “+” = beneficial; “–” = harmful; “+/−” = mixed effects.

The first clinical instance of unopposed alpha-1 activation was documented in 1985 by Ramoska and Sacchetti [11], in a patient with a history of cocaine abuse who presented for acute cocaine toxicity. The patient was treated for cocaine-induced hypertension and tachycardia with two doses of 1 mg IV propranolol, which 10 min later caused his BP to increase from 170/118 mm Hg to 180/130 mm Hg and his HR to decrease from 112 to 104. The spike in BP was subsequently treated with nitroprusside; notably, no adverse events were reported, and the patient left against medical advice 2 h later. Although propranolol had previously been the mainstay treatment for acute cocaine toxicity in the 1970s, this report of unopposed alpha-1 constriction led to a paradigm shift away from utilizing beta blockers in cocaine-users.

In subsequent years, Lange et al. [12] conducted a randomized double-blind study on 30 clinically stable patients to test for the phenomena of unopposed alpha-1 constriction. The participants were divided into groups and administered intranasal saline or cocaine (2 mg/kg), followed with intracoronary propranolol (2 mg in 5 min). They found that administering propranolol in the cocaine group worsened cocaine-induced coronary artery vasoconstriction by decreasing coronary sinus blood flow (120±20 mL/min to 100±14 mL/min) and increasing coronary vascular resistance (1.05±0.10 mm Hg/mL/min to 1.20±0.12 mm Hg/mL/min). Interestingly, arterial pressure did not rise, as had been witnessed previously by Ramoska and Sacchetti [11]. One adverse event was reported among the 10 patients in the cocaine–propranolol group; that patient had complete coronary artery occlusion and ST segment elevation that resolved with nitroglycerin. This study set the stage for future studies on unopposed alpha-1 constriction and in 2001 led the Advanced Cardiovascular Life Support (ACLS) to caution against the use of beta blockers in patients with cocaine-associated acute coronary syndrome (ACS) [36]. However, in recent years, the external validity of this prominent study has been called into question due to the study’s use of intracoronary propranolol, which is no longer clinically relevant or utilized today [9]. Interestingly, the same research group conducted a similar study utilizing IV labetalol (0.25 mg/kg) [13]. In contrast to their previous conclusions with intracoronary propranolol, the authors reported that IV labetalol had actually reversed cocaine-related increase in arterial pressure (117±14 mm Hg to 110±11 mm Hg; p<0.05) but had no significant effect on the coronary arterial area (3.47±1.37 mm2 to 3.37±1.32 mm2; p=NS). It should be noted that, although labetalol is a mixed beta/alpha blocker, its beta-blocking effects are significantly stronger, with an approximate 7:1 beta/alpha ratio when given intravenously. In a retrospective cohort study, Mohamad et al. [14] found that among patients presenting to the emergency department with chest pain and a positive urine cocaine screen, those taking beta blockers at presentation had a significantly higher incidence of myocardial necrosis compared to those not on beta blockers (14.0 vs. 4.4 %, p<0.01).

The significant concern of inhibiting the compensatory vasodilatory effects of beta-2 receptors prompted Sand et al. [15] to investigate whether esmolol, an ultra–short-acting beta-1 selective blocker, could be safely utilized in treating acute cocaine toxicity. In a prospective cohort study utilizing esmolol to treat cocaine-associated cardiovascular complications, the authors reported a mean 23 % decline (range from 0 to 35 %) in HR and an 11 % decline (range from −26 % to + 15 %) in systolic BP. Despite these positive results, three out of seven patients reported adverse events requiring intervention after receiving esmolol – one developed hypertension, another had hypotension, and another experienced emesis and lethargy necessitating intubation – leading the authors to advise against its use. The inconsistent effect on BP in response to esmolol was rationalized by a previous study that reported that 44 % of patients treated with esmolol for supraventricular tachycardia developed hypotension [37].

Two other case studies have reported adverse cardiovascular events after administering beta blockers in patients with cocaine-associated chest pain. Fareed et al. [16] reported a case of cocaine-induced ACS in which the patient, treated with nitroglycerin, experienced persistent tachycardia (115 beats per minute [bpm]) that did not resolve upon administering 15 mg of IV diazepam. Two hours later, 5 mg of IV metoprolol was given, and 10 min later, the patient developed crushing substernal chest pain, systolic BP of 50 mm Hg, and an HR of 120/min before expiring. Although this case provides some evidence of beta blocker induced unopposed alpha-1 constriction, the authors admit that the complex clinical presentation and lack of postmortem examination may make it difficult to assign causality.

Treating cocaine toxicity with beta blockers

In recent years, a growing body of evidence from several case reports, large retrospective studies, and prospective studies have demonstrated that beta blockers can be safely utilized in people who utilize cocaine (Table 1). Moreover, several of these studies have demonstrated a beneficial effect.

Several case studies have corroborated the use of beta blockers in successfully treating acute cocaine toxicity. In the first study, Rappolt et al. [38] reported a 28-year-old male who presented tremulous, nauseous, and faint after snorting approximately 200 mg of cocaine. His initial BP was 140/90 mm Hg and he had an HR of 130/min. He was subsequently treated with 2 mg of IV propranolol, and he was discharged 30 min later after his vitals stabilized with a BP of 110/70 mm Hg and an HR of 84/min. Gay and Loper [17] describe a case in which a 31-year old male presented with worsening agitation after ingesting 20 g of cocaine. On arrival, he had a BP of 230/110 mm Hg and an HR of 185/min. His vitals were managed with 20 mg IV labetalol over 10 min, which lowered his BP to 160/85 mm Hg with a pulse of 96/min. At the intensive care unit (ICU), his BP and HR were subsequently controlled with a labetalol drip, and no major adverse cardiovascular events (MACEs) were reported before discharge the next day. More recently, Richards et al. [18], 39] has published several case reports demonstrating the successful use of beta blockers in managing the hemodynamic effects of acute cocaine toxicity. In another case study, Richards et al. [19] describes a 56-year-old male presenting with profuse epistaxis who became hypertensive, tachypneic, and tachycardic after 4 % cocaine-soaked cotton pledget tamponades were inserted intranasally as part of his treatment. He was subsequently treated with 10 mg IV labetalol, with normalization of his vital signs within 5 min [19]. In a case report, Öcal et al. [29] described a 34-year-old woman who developed acute heart failure after first-time cocaine use and was successfully treated with 6.25 mg carvedilol, resulting in full recovery of left ventricular function within 1 week without adverse effects. In another report, Pollan and Tadjziechy [30] reported a case of severe perioperative cardiovascular toxicity that developed after topical cocaine was applied for nasal polyp surgery. The patient, who had chronic atrial fibrillation treated with digoxin, was successfully managed with transdermal nitroglycerin and 20 mg IV esmolol, resulting in stabilization of BP and HR.

The safety of beta blockers in patients utilizing cocaine has been demonstrated by several retrospective studies. Ibrahim et al. [20] reported that neither beta-1 selective nor mixed alpha/beta blockers were associated with troponin elevation when utilized to treat cocaine-associated chest pain. Fanari et al. [21] reported no significant changes in electrocardiogram (ECG), troponin levels, or echocardiography in cocaine-associated chest pain patients treated with metoprolol, carvedilol, labetalol, and atenolol.

In a prospective observational cohort study, Cediel et al. [22] examined whether beta blockers improved the long-term outcomes in people who utilize cocaine (n=57) who had previously been admitted for ACS associated with cocaine consumption [22]. The study found that patients who had been treated and discharged on a beta blocker (n=33) had a significantly better 90-day survival than patients who had not been prescribed a beta blocker (n=24) (87.5 vs. 100 %; log rank test p=0.035) [22]. Over a median follow-up of 4.0 years (interquartile range [IQR]: 2.4–6.5), 2 patients (6.1 %) who received beta blocker therapy died, and 6 (18.2 %) were readmitted for MI. In contrast, among patients who did not receive beta blocker therapy, 5 (20.8 %) died, and 5 (20.8 %) were readmitted for MI. In a prospective cohort study of patients with ACS and a positive urine cocaine screen, labetalol was associated with significant reductions in inflammatory markers, including CD40 ligand and interleukin 6 (IL-6), as well as significant and equivalent changes in BP and HR compared with diltiazem, without adverse events [28].

Within this literature search, no study reported instances in which mixed alpha/beta blocker use was associated with unopposed alpha vasoconstriction requiring an elevated level of care or resource intensive hospitalization [9]. On the contrary, several prospective studies have indicated that mixed alpha/beta blockers can provide better hemodynamic control. In two randomized double-blind crossover studies, Sofuoglu et al. [23], 24] reported that pretreatment with labetalol and carvedilol attenuated cocaine-induced increase in HR (p<0.05) and systolic BP (p<0.05). Carvedilol also significantly reduced diastolic BP, suggesting that it is more effective than labetalol at controlling the negative cardiovascular effects of cocaine. Of note, labetalol has an approximate 3:1 beta/alpha ratio when administered orally, in contrast to the 7:1 ratio when utilized intravenously, as cited by the Boehrer et al. study [13] and the MacCarthy and Bloomfield study [40]. A prospective cohort study by Hoskins et al. [28] compared the hemodynamic changes between labetalol and diltiazem in treating patients with cocaine-induced ACS. The patients administered labetalol (n=90) had a significant decrease in HR and systolic/diastolic BP when measured 48 h later (p<0.005). The authors also reported that labetalol and diltiazem provided statistically similar hemodynamic control. Of note, no adverse events in the labetalol group were reported during hospitalization.

A few studies have demonstrated that beta-selective blockers can also have a beneficial effect. In a prospective study, Vongpatanasin et al. [25], 41] reported that propranolol could attenuate the chronotropic effects of cocaine, from an increase in the HR of 12±1 beats/minute to 2±1 beats/minute (p<0.01). In a retrospective cohort study with 348 ICU patients with a positive urine drug screen for cocaine, Dattilo et al. [26] found that patients who were administered a beta blocker had significantly decreased incidence of MI (6.1 vs. 26.0 %; 95 % confidence interval [CI] 10.3–30.0 %). A subsequent retrospective cohort study in patients who utilize cocaine presenting with chest pain reported no significant differences in ECG, troponin levels, length of stay, use of vasopressor agents, intubation, or arrhythmias in patients who received a beta blocker [27]. With a mean follow-up of 972 days, Rangel et al. [27] found that patients who had been discharged with a beta blocker (n=124) exhibited a statistically significant 70 % reduction in the risk of cardiovascular death (hazard ratio, 0.29; 95 % CI, 0.09–0.98 [p=0.047]).

Treating heart failure in patients who utilize cocaine

Several studies have investigated whether beta blockers can safely be utilized to treat heart failure in patients with a history of active cocaine use (Table 1). Contemporary guidelines for heart failure with reduced ejection fraction (HFrEF) recommend full guideline-directed medical therapy (GDMT) and do not explicitly list ongoing cocaine use as a contraindication to beta-blockage, except in cases of acute intoxication [42]. However, they acknowledge the limited availability of subgroup data in this regard.

Beta blockers utilized in those with active cocaine use and HFrEF

A retrospective cohort study by Lopez et al. [31] found that utilizing beta blockers to treat HFrEF patients with active cocaine use was beneficial, with no MACEs reported in any of the 38 patients. The authors demonstrated that in a 12-month period, beta blockers were associated with a statistically significant improvement in left ventricular ejection fraction (LVEF) (p<0.0001) and New York Heart Association functional class (p<0.0001).

A subsequent retrospective study by the same authors compared HFrEF treatment outcomes from this population group (n=38) to a control group of people who utilize cocaine treated with GDMT (n=34). The study found that beta blockers, when utilized in combination with GDMT, improved LVEF (p=0.0031; relative risk [RR] 2.46; CI, 1.27–4.78) and New York Heart Association functional class (p=0.0106; RR 2.24; CI, 1.14–4.41) [32]. Furthermore, their group demonstrated that there was no difference in outcomes or reports of adverse events between mixed alpha/beta blockers vs. beta-1 selective blockers.

In the context of treating patients with HFrEF, Egbuche et al. [33] reported that beta blockers reduced 30-day all-cause readmission rates by 25 vs. 46 % (odds ratio [OR]: 0.19, 95 % CI, 0.06–0.64, p=0.007) and heart failure related readmission rates by 20 vs. 41 % (OR: 0.17, 95 % CI, 0.05–0.56, p=0.004. However, improvements in 1-year mortality were not significant. In a retrospective cohort study, Garry et al. [35] found that both mixed alpha/beta (carvedilol) and selective beta blockers (metoprolol) could safely be utilized in managing HFrEF in patients with a history of active cocaine use. Among the 133 heart failure patients with active cocaine use who had available medication prescription data (n=104 on beta blockers, n=29 not on beta blockers), the authors found no significant differences in 30-day readmission (hazard ratio 0.89; 95 % CI, 0.40–1.98) or 1-year mortality (hazard ratio 0.39; 95 % CI, 0.13–1.16) after adjusting for age and gender [35].

Banerji et al. [34] conducted a retrospective cohort study on the safety and benefits of carvedilol among heart failure patients with cocaine-use disorder. Self-reported data on cocaine use was stratified among patients, finding no significant differences between the carvedilol (n=404) and noncarvedilol (n=99) groups in frequency of cocaine usage, mode of administration, or cocaine type. Despite patients in the carvedilol group starting treatment with lower LVEF, HR, and N-terminal pro–B-type natriuretic peptide concentrations, a mean follow-up of 19 months revealed that adverse cardiovascular events were statistically insignificant between the carvedilol and noncarvedilol groups (32 vs. 38 %, respectively; p=0.16). Furthermore, analysis between different types of heart failure found no significant difference in adverse cardiovascular events between HFpEF (32 vs. 38 %; p=0.16) and HFrEF (34 vs. 58 %; p=0.02) patients in the carvedilol vs. noncarvedilol groups, respectively. Moreover, analysis of a multivariate model found that carvedilol therapy reduced the incidence of adverse cardiovascular events among heart failure patients with cocaine-use disorder (hazard ratio: 0.67; 95 % CI, 0.481–0.863).

Registry/large-cohort data on GDMT uptake and outcomes

In a comprehensive single-center heart failure registry comprising 503 participants with cocaine-use disorder, 80 % were prescribed carvedilol upon discharge. Among the participants with HFrEF, carvedilol use was associated with a reduced incidence of MACEs compared to the absence of beta blocker therapy (34 vs. 58 %; p=0.02) [34]. In an academic safety-net cohort comparing 738 heart failure participants with cocaine use to 738 matched nonusers, investigators analyzed discharge records for hospitalizations with HFrEF [35]. Among cocaine users with HFrEF, the use of angiotensin-converting enzyme inhibitors (ACEi) or angiotensin receptor blockers (ARB) was significantly higher with a beta blocker (95.2 %) compared to without (44.8 %) (p<0.0001). Similarly, the use of spironolactone was significantly higher with a beta blocker (42.3 %) compared to without (3.4 %) (p<0.0001). These findings suggest a substantial variation in GDMT uptake based on beta blocker status at discharge among cocaine users with HFrEF. Within the same cohort, 1-year mortality and 30-day readmissions were comparable among participants discharged on metoprolol, carvedilol, or no beta blockers. Adjusted estimates favored beta-blockade, but wide CIs suggested safety, with no clear distinction between selective and nonselective agents.

Why beta blockers may be particularly important in cocaine cardiomyopathy

Cocaine induces sympathetic activity through catecholamine overload, resulting in calcium-handling abnormalities, oxidative stress, myocyte necrosis, and arrhythmias – mechanisms that beta blockers directly address [3], 34]. A comprehensive systematic review and meta-analysis elucidates an association between chronic cocaine usage and structural alterations indicative of diastolic dysfunction [3], 34]. Furthermore, the study suggests that beta blockers do not pose significant safety concerns and may prove efficacious in managing cocaine-induced heart failure [3], 34]. Clinically, two cohort studies demonstrate improvement in symptoms and LVEF over approximately 12 months of beta blocker therapy in individuals with active cocaine use [31], 32]. This suggests that reverse remodeling can occur even when abstinence remains incomplete.

Discussion

The review of current evidence suggests that the significance of unopposed alpha-1 constriction may not be as significant as previously proposed, with more recent studies suggesting that beta blockers can be utilized relatively safely in people who utilize cocaine. Moreover, the various studies suggest that physicians are continuing to prescribe beta blockers with cocaine use despite these warnings, or that the patient’s use of cocaine is not initially known to the physicians. Furthermore, emergency physicians frequently need to make critical medical decisions before drug toxicology results are available, leading to numerous instances of inadvertent beta blocker use in cocaine-induced ACS without frequent reports of adverse events of unopposed alpha-1 constriction.

Cocaine inhibits the presynaptic reuptake of norepinephrine, dopamine, and serotonin, resulting in a rapid increase in sympathetic activity [43]. The net vascular effect is a combination of alpha-1 mediated vasoconstriction and beta-2 mediated vasodilation; conversely, beta-1 stimulation increases HR and contractility, as well as myocardial oxygen demand. In theory, administering a nonselective beta blocker can inhibit beta-2 mediated vasodilation, resulting in an “unopposed” state of alpha mediated vasoconstriction [9]. A classic indication of harm was observed in a catheterization laboratory experiment. Following intranasal cocaine administration, intracoronary propranolol further decreased coronary sinus flow and exacerbated vasoconstriction. This unphysiological route and setting maximize local beta-2 blockade, and they do not accurately reflect routine systemic use [12]. By contrast, beta-1 selective drugs theoretically preserve beta-2 tone, and mixed alpha/beta agents, such as labetalol and carvedilol, provide simultaneous alpha-1 antagonism, effectively counteracting vasoconstriction [9], 44]. In humans, labetalol decreased mean arterial pressure following cocaine administration without exacerbating (or reversing) epicardial coronary narrowing – consistent with alpha/beta counterbalancing rather than catastrophic vasospasm [13].

Indeed, it is important to recognize the inherent biases of particular study designs. Eight of the 26 studies reviewed were case studies, which can result in publication bias if certain case reports, especially negative reports, were not published. Given the heterogeneity of the analyses done in this systematic review, it was not possible to do a meta-analysis, which is a limitation of the data landscape. An in-depth CASP analysis was conducted on the 18 studies that were not case reports (Table 2). Seven of the studies were concluded by the authors to be high risk of bias. This was based on several factors. Four of the studies determined to be high risk were retrospective, single-center observational studies, which are inherently more susceptible to selection bias and confounding compared to prospective randomized trials. Furthermore, three of the studies did not have a control cohort, which limits the ability to draw causal conclusions. There was also selection and survivorship bias risk in that there were large exclusions from loss of patients to follow-up or incomplete follow-up. Three studies had small sample sizes, with only 12–38 patients. The majority of the studies labeled high-risk did not have CIs reported, raising uncertainty in the stability of the observed effects. In addition to the higher risk of bias with several of the studies, it must be noted that several of the retrospective studies include confounding factors such as polysubstance use, variability in cocaine dosing, and frequency and purity and racial/socioeconomic disparities in prescribing practices; although urine drug screens provide a simple positive or negative result, clinicians may have judged beta blocker use to be safe based on bedside evaluation. Thus, it is difficult to define the population of people utilizing cocaine at risk of beta blocker–induced unopposed alpha-1 constriction and whether this includes just patients who present acutely intoxicated with cocaine or those with ACS and any recent history of cocaine use. Rather, the results were interpreted and discussed on the basis of each treatment’s reported benefits and adverse effects. Finally, it must be acknowledged that there is a lack of randomized controlled studies specifically focusing on beta-selective blockers in the context of acute massive cocaine overdose; although the existing evidence is limited, weak but persistent concerns have been reported regarding negative outcomes associated with their use. Therefore, the safety conclusions drawn from this study should be interpreted cautiously. These limitations highlight the need for future prospective and randomized studies to better stratify the risk and safety profile in these patients.

Table 2:

The results of critical appraisal skills programme analysis (CASP).

Study Study type Yes No Cannot tell Primary reasons for bias concern High risk/low risk of bias
Banerji et al. (2019) [34] Retrospective 10 0 1 Observational, single-center; exposure based on prescription (adherence/dose not confirmed). Readmissions outside network not captured, baseline imbalances (e.g., more CAD, lower LVEF in the carvedilol group) may reflect treatment selection. Low
Boehrer et al. (1993) [13] Prospective controlled 10 1 2 The study demonstrated sound statistical analysis, including CIs and p values. However, its small sample size limited generalizability. Uncertainties remain about the effects of higher labetalol doses, differences in timing, and the study’s relevance to acute chest pain or emergency department settings. Low
Cediel et al. (2018) [22] Prospective observational cohort 6 3 3 Small sample size, single-center design, limited multivariate analysis, Precise timing of cocaine use not measured. Amount of cocaine consumed is not quantified. Different beta blockers utilized, not specified. Unclear whether the cohort is representative of the general ACS-ACC population. Unsure about the precision of the results (MACE rate, mortality) because no CIs were reported. Unclear about the number of subjects lost to follow-up during the median 4.0-year period. Low
Dattilo et al. (2008) [26] Retrospective 9 0 2 It is a retrospective, single-center observational study; therefore, it is susceptible to residual and unmeasured confounding despite the statistical adjustments. The protective finding for MI is based on a very low event count in the exposed group (only n=2 patients received a beta blocker before developing an MI), which significantly limits confidence in the finding. Low
Egbuche et al. (2018) [33] Retrospective 6 0 5 Retrospective, single-center; selection and information biases possible. Exposure ascertainment limited for fills outside the hospital pharmacy; adherence uncertain. Outcomes only from the index institution (missed external readmissions/deaths). No data on HF severity changes (e.g., LVEF trajectory) due to variable echo timing. High
Fanari et al. (2014) [21] Retrospective 12 0 0 The study was large with strong statistical analysis. It was retrospective and limited to short hospital stays. Long-term cardiac outcomes were not reported. Low
Garry et al. (2022) [35] Retrospective 9 0 2 Single center. Exposure defined by ICD/urine tox without intensity/route/dose. Readmissions only at index hospital. Beta blocker subgroup small with prescription data available only from 2015. Adherence not ensured. Low
Hoskins et al. (2010) [28] Prospective cohort 8 1 5 Negative/relatively poor methodology: Nonrandomized, open-label, sequential allocation – risk of selection/confounding bias. No multivariable adjustment; small single-center sample. No CIs reported. Follow-up only 48 h. Unknowns: Representativeness (consecutive vs. convenience) and screening log not described. Blinding of outcome assessors/lab personnel not reported. Long-term safety/clinical outcomes not assessed. Study not powered to show a mortality benefit. High
Ibrahim et al. (2013) [20] Retrospective 12 0 0 This was a large cohort with solid adjustment for confounders. Being retrospective, it was prone to documentation bias. The difference between selective and mixed beta blockers is unclear, and the outcomes were only short-term. Low
Lange et al. (1990) [12] Prospective randomized, double-blind, controlled 9 2 2 The study showed clear design and blinding with detailed quantitative reporting, including CIs and p values. Limitations included a small sample size and the use of intracoronary propranolol, which limits generalizability to systemic beta blockers. Uncertainties remain about effects at higher cocaine doses, with oral or systemic beta blockers, and the balance of alpha and beta blockade at different labetalol doses. Low
Lopez et al. (2019) [32] Retrospective 7 1 3 Retrospective, single-center design with a small sample size. Massive precohort attrition (nearly 50 % of eligible patients “discontinued care”), creating a very high risk of selection/survivorship bias. Inability to measure adherence to therapy. Significant unmeasured confounding (e.g., amount of cocaine use, confounding by indication). Limited generalizability due to a highly specific demographic and geographic patient population. High
Lopez et al. (2018) [31] Retrospective 5 2 5 Retrospective, single-arm (no unexposed/control cohort); no adjustment for confounding. Large exclusions due to incomplete follow-up → risk of selection/attrition bias. Exposure misclassification possible (self-report vs. urine tox; intensity/route not captured). Limited precision reporting (no CIs or effect size estimates). High
Mohamad et al. (2008) [14] Retrospective 2 3 9 Retrospective, single-center design; potential selection bias. Exposure ascertainment vulnerable to misclassification; beta blocker type/dose/timing not detailed. Exposure measurement via self-report. No adjustment for confounding (especially confounding by indication), no sensitivity analyses. Lack of multivariable analysis to control for major confounding factors (e.g., CAD history, age). Precision not reported (no CIs), small number of events (n=27). Unknowns: Whether all eligible patients were consecutively included, completeness of serial troponin testing across settings, completeness of follow-up for discharged patients, blinding of outcome assessment (likely not done, but objective labs mitigate some bias), the cohort’s representativeness of the broader population, compliance accuracy of home beta-blocker use, type and dose of beta blockers utilized. High
Rangel et al. (2010) [27] Retrospective 11 0 3 Negative/relatively poor methodology: Retrospective design. Potential for unmeasured confounding. Single-center study. No randomization. Unknowns: Exact timing and dose of cocaine use. Interim behaviors postdischarge. Subgroup effects. Low
Sand et al. (1991) [15] Prospective cohort 7 1 3 The study was prospective with a clear objective and transparent reporting of adverse effects. However, it had a small sample size and lacked a control or comparison group. It remains unclear whether the outcomes would differ in chronic cocaine users or with other dosing regimens. Low
Sofuoglu et al. (2000) [23] Prospective randomized, double-blind, controlled 6 1 6 Randomization: Labetalol doses were given in ascending order (100 mg then 200 mg for safety), limiting full randomization and potentially confounding results. Precision of Estimate: CIs were not reported. Subjective Effect Conclusion: The lack of effect on subjective response might be due to labetalol’s limited crossing of the blood-brain barrier, a study limitation acknowledged by the authors. Power: The study may have lacked sufficient power to detect effects on subjective response, because the sample size was based on expected cardiovascular effects, Blinding: Not explicitly stated if the data analysts were blinded. Accountability: Not explicitly stated if all 12 participants completed all three sessions (loss to follow-up/exclusions not accounted for). Harms/Costs: Harms or unintended effects and cost-effectiveness analysis were not reported. Applicability to broader populations unclear. High
Sofuoglu et al. (2000) [24] Prospective randomized, double-blind, controlled 8 1 4 Small sample size (n=12) limits generalizability. Nonrandom sequence for carvedilol doses. Limited subjective effect differentiation. CI not reported. Randomization method not described. Cost-effectiveness not studied Low
Vongpatanasin et al. (1999) [25] Prospective, randomized, double-blind, controlled 9 1 2 Small sample size. The study did not report the precision of the treatment effect utilizing CIs; only the SEM was utilized. A formal power calculation was not reported. The intervention (cocaine) does not have a clinical therapeutic benefit, meaning Question 9 about whether benefits outweighed harms/costs cannot be satisfied in the traditional sense. Low
  1. ACC, American College of Cardiology; ACS, acute coronary syndrome; CAD, coronary artery disease; CI, confidence interval; HF, heart failure; ICD, International Classification of Diseases; LVEF, left ventricular ejection fraction; MACE, major adverse cardiovascular event; SEM, standard error of the mean.

Although the safety of beta-selective blocker use in people who utilize cocaine remains uncertain, several observational studies have reported favorable hemodynamic findings with mixed alpha/beta blockers, with no adverse events identified in the included studies. Due to their mixed blockade of alpha-1, beta-1, and beta-2 receptors, these types of blockers should theoretically be less likely to cause manifestations of unopposed alpha-1 constriction.

Conclusions

Current evidence suggests that the concern for unopposed alpha-1 constriction with beta blockers in cocaine-associated cardiovascular events may be overstated. Available studies have reported favorable hemodynamic findings associated with mixed alpha/beta blockers and beta-1 selective agents, with adverse effects infrequently reported. However, nonselective beta blockers remain the most relevant to study in the context of unopposed alpha constriction, because their additional blockade of beta-2 mediated vasodilation can theoretically intensify the underlying vasoconstrictive response, and thus warrant more cautious use. Although the historical caution surrounding beta blocker use in people who utilize cocaine persists, contemporary data support a more nuanced approach. These findings are particularly relevant for osteopathic and allopathic physicians managing patients with concurrent heart failure and cocaine use. Incorporating beta blockers may optimize care and improve outcomes in this patient population. However, further studies are needed to refine the current guidelines. This review highlights the potential for improved patient-centered care in primary settings through evidence-based prescribing.


Corresponding author: Christina Kinnevey Greig, MD, Touro University California, 1310 Club Drive, Vallejo, CA 94592-1187, USA, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: Different artificial intelligence (AI) bots (Gemini, Microsoft Copilot, and ChatGPT) were utilized in helping with the completion of the checklists, with comparison across the three different platforms, and they were cross-referenced with the article texts. The final risk-of-bias assessment was performed by the authors without the use of AI.

  5. Conflict of interest: None declared.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

References

1. Cano, M, Oh, S, Salas-Wright, CP, Vaughn, MG. Cocaine use and overdose mortality in the United States: evidence from two national data sources, 2002–2018. Drug Alcohol Depend 2020;214:108148. https://doi.org/10.1016/j.drugalcdep.2020.108148.Search in Google Scholar

2. Substance Abuse and Mental Health Services Administration (SAMHSA). Key substance use and mental health indicators in the United States: results from the 2022 national survey on drug use and health. Available from: https://www.samhsa.gov/data/report/2022-nsduh-annual-national-report [Accessed 9 Jan 2025].Search in Google Scholar

3. Arenas, DJ, Beltran, S, Zhou, S, Goldberg, LR. Cocaine, cardiomyopathy, and heart failure: a systematic review and meta-analysis. Sci Rep 2020;10:19795. https://doi.org/10.1038/s41598-020-76273-1.Search in Google Scholar

4. Drug Abuse Warning Network (DAWN). Findings from drug-related emergency department visits, 2022 | CBHSQ data. Available from: https://www.samhsa.gov/data/report/2022-findings-drug-related-emergency-department-visits [Accessed 9 Jan 2025].Search in Google Scholar

5. Ezra, AA, Nanette, KW, Ralph, GB, Donald, ECJr, Theodore, GG, David, RH, et al.. 2014 AHA/ACC guideline for the management of patients with non–ST-elevation acute coronary syndromes. Circulation 2014;140. https://doi.org/10.1161/CIR.0000000000000134.Search in Google Scholar

6. Chen, ZM, Pan, HC, Chen, YP, Peto, R, Collins, R, Jiang, LX, et al.. Early intravenous then oral metoprolol in 45,852 patients with acute myocardial infarction: randomised placebo-controlled trial. Lancet Lond Engl 2005;366:1622–32. https://doi.org/10.1016/S0140-6736(05)67661-1.Search in Google Scholar

7. Anderson, JL, Adams, CD, Antman, EM, Bridges, CR, Califf, RM, Casey, DE Jr, et al.. ACC/AHA 2007 guidelines for the management of patients with unstable angina/non–ST-elevation myocardial infarction. Circulation 2007;116:e148–304. https://doi.org/10.1161/CIRCULATIONAHA.107.181940.Search in Google Scholar

8. Clyde, WY, Mariell, J, Biykem, B, Javed, B, Donald, ECJr, Mark, HD, et al.. 2013 ACCF/AHA guideline for the management of heart failure. Circulation 2013;128. https://doi.org/10.1161/CIR.0b013e31829e8776.Search in Google Scholar

9. Richards, JR, Hollander, JE, Ramoska, EA, Fareed, FN, Sand, IC, Izquierdo Gómez, MM, et al.. β-Blockers, cocaine, and the unopposed α-Stimulation phenomenon. J Cardiovasc Pharmacol Ther 2017;22:239–49. https://doi.org/10.1177/1074248416681644.Search in Google Scholar

10. Havakuk, O, Rezkalla, SH, Kloner, RA. The cardiovascular effects of cocaine. J Am Coll Cardiol 2017;70:101–13. https://doi.org/10.1016/j.jacc.2017.05.014.Search in Google Scholar

11. Ramoska, E, Sacchetti, AD. Propranolol-induced hypertension in treatment of cocaine intoxication. Ann Emerg Med 1985;14:1112–13. https://doi.org/10.1016/s0196-0644(85)80934-3.Search in Google Scholar

12. Lange, RA, Cigarroa, RG, Flores, ED, McBride, W, Kim, AS, Wells, PJ, et al.. Potentiation of cocaine-induced coronary vasoconstriction by beta-adrenergic blockade. Ann Intern Med 1990;112:897–903. https://doi.org/10.7326/0003-4819-112-12-897.Search in Google Scholar

13. Boehrer, JD, Moliterno, DJ, Willard, JE, Hillis, LD, Lange, RA. Influence of labetalol on cocaine-induced coronary vasoconstriction in humans. Am J Med 1993;94:608–10. https://doi.org/10.1016/0002-9343(93)90212-8.Search in Google Scholar

14. Mohamad, T, Kondur, A, Vaitkevicius, P, Bachour, K, Thatai, D, Afonso, L. Cocaine-induced chest pain and beta-blockade: an inner city experience. Am J Therapeut 2008;15:531–5. https://doi.org/10.1097/MJT.0b013e3181758cfc.Search in Google Scholar

15. Sand, IC, Brody, SL, Wrenn, KD, Slovis, CM. Experience with esmolol for the treatment of cocaine-associated cardiovascular complications. Am J Emerg Med 1991;9:161–3. https://doi.org/10.1016/0735-6757(91)90182-J.Search in Google Scholar

16. Fareed, FN, Chan, GM, Hoffman, RS. Death temporally related to the use of a beta adrenergic receptor antagonist in cocaine associated myocardial infarction. J Med Toxicol 2007;3:169–72. https://doi.org/10.1007/BF03160934.Search in Google Scholar

17. Gay, GR, Loper, KA. The use of labetalol in the management of cocaine crisis. Ann Emerg Med 1988;17:282–3. https://doi.org/10.1016/S0196-0644(88)80124-0.Search in Google Scholar

18. Richards, JR, Lange, RA, Arnold, TC, Horowitz, BZ. Dual cocaine and methamphetamine cardiovascular toxicity: rapid resolution with labetalol. Am J Emerg Med 2017;35:519.e1–4. https://doi.org/10.1016/j.ajem.2016.09.040.Search in Google Scholar

19. Richards, JR, Laurin, EG, Tabish, N, Lange, RA. Acute toxicity from topical cocaine for epistaxis: treatment with labetalol. J Emerg Med 2017;52:311–13. https://doi.org/10.1016/j.jemermed.2016.08.006.Search in Google Scholar

20. Ibrahim, M, Maselli, DJ, Hasan, R, Hamilton, A. Safety of β-blockers in the acute management of cocaine-associated chest pain. Am J Emerg Med 2013;31:613–16. https://doi.org/10.1016/j.ajem.2012.09.027.Search in Google Scholar

21. Fanari, Z, Kennedy, KK, Lim, MJ, Laddu, AA, Stolker, JM. Comparison of in-Hospital outcomes for beta-blocker use versus non–beta blocker use in patients presenting with cocaine-associated chest pain. Am J Cardiol 2014;113:1802–6. https://doi.org/10.1016/j.amjcard.2014.03.010.Search in Google Scholar

22. Cediel, G, Carrillo, X, García-García, C, Rueda, F, Oliveras, T, Labata, C, et al.. β-Blocker treatment and prognosis in acute coronary syndrome associated with cocaine consumption: the RUTI-Cocaine Study. Int J Cardiol 2018;260:7–10. https://doi.org/10.1016/j.ijcard.2018.02.013.Search in Google Scholar

23. Sofuoglu, M, Brown, S, Babb, DA, Pentel, PR, Hatsukami, DK. Carvedilol affects the physiological and behavioral response to smoked cocaine in humans. Drug Alcohol Depend 2000;60:69–76. https://doi.org/10.1016/s0376-8716(99)00143-x.Search in Google Scholar

24. Sofuoglu, M, Brown, S, Babb, DA, Pentel, PR, Hatsukami, DK. Effects of labetalol treatment on the physiological and subjective response to smoked cocaine. Pharmacol Biochem Behav 2000;65:255–9. https://doi.org/10.1016/s0091-3057(99)00201-4.Search in Google Scholar

25. Vongpatanasin, W, Mansour, Y, Chavoshan, B, Arbique, D, Victor, RG. Cocaine stimulates the human cardiovascular system via a central mechanism of action. Circulation 1999;100:497–502. https://doi.org/10.1161/01.cir.100.5.497.Search in Google Scholar

26. Dattilo, PB, Hailpern, SM, Fearon, K, Sohal, D, Nordin, C. β-Blockers are associated with reduced risk of myocardial infarction after cocaine use. Ann Emerg Med 2008;51:117–25. https://doi.org/10.1016/j.annemergmed.2007.04.015.Search in Google Scholar

27. Rangel, C, Shu, RG, Lazar, LD, Vittinghoff, E, Hsue, PY, Marcus, GM. β-Blockers for chest pain associated with recent cocaine use. Arch Intern Med 2010;170:874–9. https://doi.org/10.1001/archinternmed.2010.115.Search in Google Scholar

28. Hoskins, MH, Leleiko, RM, Ramos, JJ, Sola, S, Caneer, PM, Khan, BV. Effects of labetalol on hemodynamic parameters and soluble biomarkers of inflammation in acute coronary syndrome in patients with active cocaine use. J Cardiovasc Pharmacol Ther 2010;15:47–52. https://doi.org/10.1177/1074248409358409.Search in Google Scholar

29. Öcal, L, Çakir, H, Tellice, M, İzci, S, Alizade, E, Esen, AM. Successful treatment of cocaine-induced cardiotoxicity with carvedilol therapy. Herz 2015;40:159–61. https://doi.org/10.1007/s00059-013-3976-y.Search in Google Scholar

30. Pollan, S, Tadjziechy, M. Esmolol in the management of epinephrine- and cocaine-induced cardiovascular toxicity. Anesth Analg 1989;69:663–4. https://doi.org/10.1213/00000539-198911000-00019.Search in Google Scholar

31. Lopez, PD, Akinlonu, A, Mene‐Afejuku, TO, Dumancas, C, Saeed, M, Cativo, EH, et al.. Improvement in clinical outcomes of patients with heart failure and active cocaine use after β‐blocker therapy. Clin Cardiol 2018;41:465–9. https://doi.org/10.1002/clc.22897.Search in Google Scholar

32. Lopez, PD, Akinlonu, A, Mene-Afejuku, TO, Dumancas, C, Saeed, M, Cativo, EH, et al.. Clinical outcomes of Β-blocker therapy in cocaine-associated heart failure. Int J Cardiol 2019;277:153–8. https://doi.org/10.1016/j.ijcard.2018.08.058.Search in Google Scholar

33. Egbuche, O, Ekechukwu, I, Effoe, V, Maduabum, N, Millard, HR, Maihemuti, A, et al.. Effect of β-blocker therapy on hospital readmission and mortality in heart failure patients with concurrent cocaine use. J Cardiovasc Pharmacol Ther 2018;23:518–23. https://doi.org/10.1177/1074248418778550.Search in Google Scholar

34. Banerji, D, Alvi, RM, Afshar, M, Tariq, N, Rokicki, A, Mulligan, CP, et al.. Carvedilol among patients with heart failure with a cocaine-use disorder. JACC Heart Fail 2019;7:771–8. https://doi.org/10.1016/j.jchf.2019.06.010.Search in Google Scholar

35. Garry, JD, Thakkar, AB, Durstenfeld, MS, Ma, Y, Win, S, Hsue, PY. Outcomes in patients with heart failure using cocaine. Am J Cardiol 2022;176:66–72. https://doi.org/10.1016/j.amjcard.2022.04.028.Search in Google Scholar

36. Albertson, TE, Dawson, A, de Latorre, F, Hoffman, RS, Hollander, JE, Jaeger, A, et al.. TOX-ACLS: toxicologic-oriented advanced cardiac life support. Ann Emerg Med 2001;37:S78–90. https://doi.org/10.1067/mem.2001.114174.Search in Google Scholar

37. Intravenous esmolol for the treatment of supraventricular tachyarrhythmia: results of a multicenter, baseline-controlled safety and efficacy study in 160 patients. The Esmolol Research Group. Am Heart J 1986;112:498-505. https://doi.org/10.1016/0002-8703(86)90513-2.Search in Google Scholar

38. Rappolt, RT, Gay, G, Inaba, DS, Rappolt, NR. Propranolo in cocaine toxicity. Lancet Lond Engl 1976;2:640–1. https://doi.org/10.1016/s0140-6736(76)90718-2.Search in Google Scholar

39. Richards, JR, Gould, JB, Laurin, EG, Albertson, TE. Metoprolol treatment of dual cocaine and bupropion cardiovascular and central nervous system toxicity. Clin Exp Emerg Med 2019;6:84–8. https://doi.org/10.15441/ceem.17.247.Search in Google Scholar

40. MacCarthy, EP, Bloomfield, SS. Labetalol: a review of its pharmacology, pharmacokinetics, clinical uses and adverse effects. Pharmacotherapy 1983;3:193–219. https://doi.org/10.1002/j.1875-9114.1983.tb03252.x.Search in Google Scholar

41. Vongpatanasin, W, Taylor, JA, Victor, RG. Effects of cocaine on heart rate variability in healthy subjects. Am J Cardiol 2004;93:385–8. https://doi.org/10.1016/j.amjcard.2003.10.028.Search in Google Scholar

42. Heidenreich, PA, Bozkurt, B, Aguilar, D, Allen, LA, Byun, JJ, Colvin, MM, et al.. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2022;145:e895–1032. https://doi.org/10.1161/CIR.0000000000001063.Search in Google Scholar

43. Schwartz, BG, Rezkalla, S, Kloner, RA. Cardiovascular effects of cocaine. Circulation 2010;122:2558–69. https://doi.org/10.1161/CIRCULATIONAHA.110.940569.Search in Google Scholar

44. Richards, JR, Garber, D, Laurin, EG, Albertson, TE, Derlet, RW, Amsterdam, EA, et al.. Treatment of cocaine cardiovascular toxicity: a systematic review. Clin Toxicol 2016;54:345–64. https://doi.org/10.3109/15563650.2016.1142090.Search in Google Scholar


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/jom-2025-0117).


Received: 2025-06-17
Accepted: 2026-02-10
Published Online: 2026-04-24

© 2026 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Downloaded on 8.5.2026 from https://www.degruyterbrill.com/document/doi/10.1515/jom-2025-0117/html?lang=en
Scroll to top button