Introduction
The global opioid epidemic is one of the top public health issues of the 21st century. According to the United Nations Office on Drugs and Crime, there are an estimated 60 million opioid users worldwide [1]. The rise in overdose deaths due to synthetic opioids has been staggering [1]. The Middle East is a major area with an increase in opioid abuse; for example, in Iran, the drug pattern is dominated by traditional opium along with an increasing amount of methadone that is usually diverted for recreation [2, 3]. Methadone has been the gold standard for treating people suffering from opioid dependence since the 1960s, and it has been shown to be effective in reducing withdrawal symptoms, curbing illicit drug use, and decreasing the transmission of blood-borne pathogens [4-8]. However, it has disadvantages, such as high lipophilicity and a long, unpredictable half-life ranging from 8 to 60 hours.
Methadone is most notably linked to prolonged QT intervals, reflecting the duration of ventricular repolarization on electrocardiography (ECG). A long QT interval increases the risk of untreated (irregularities in heart rhythm) and may occur as a result of two conditions: 1) After depolarization, ventricular recovery resulting in electric shock; and 2) when a premature ventricular contraction (PVC) occurs on top of the prolonged QT. The PVC can result in a potentially fatal arrhythmia called torsades de pointes (TdP) – a form of polymorphic ventricular tachycardia – which can lead to ventricular fibrillation and sudden cardiac death [9]. Unlike many other opioids, methadone acts as a potent inhibitor of the IKr potassium current, which is mediated by the human ether-à-go-go-related gene (hERG) [10]. By blocking these channels, methadone delays potassium efflux during phase 3 of the cardiac action potential, thereby lengthening repolarization time.
The effect of QT interval prolongation by methadone is primarily dose-dependent but can also be affected by many intrinsic patient-specific factors. Examples of factors or conditions that decrease the repolarization reserve include advanced age, being female, underlying structural heart disease, and a genetic predisposition to congenital QT syndrome [11]. Methadone is also metabolized via the cytochrome P450 (CYP450) liver enzyme system. The main CYP450 enzymes involved are CYP3A4, CYP2B6, and CYP2C19. As a result, methadone combined with any CYP450 enzyme inhibitor (for example, erythromycin, a common antibiotic, or some antiretroviral agents) may increase methadone levels in the bloodstream, even when dosages seem reasonable [12].
Systemic physiological disturbances compound acute poisoning or overdose. Opioid toxicity produces a significant decrease in respiratory drive, leading to hypoxia and severe acidosis. These changes affect the electrical stability of the myocardial membranes. Electrolytes are often not retained by chronic users of certain substances because of inadequate nutrition or other medical conditions. Electrolyte abnormalities are critical because hypokalemia and hypomagnesemia can independently increase QT interval length and lower the threshold for TdP [13]. Previous studies have shown that a QT interval exceeding 500 ms is a critical threshold for heightened arrhythmic risk, but significant prolongation can occur even at therapeutic dosages [14].
According to the article, there is a lack of information regarding the frequency of dangerous QT prolongation resulting from methadone overdose in Yazd, Iran. To fill this gap, the researchers will examine 1,000 cases of poisoning from two referral hospitals from 2014-2023 by measuring the QT interval (QT≥450 ms) on the ECG and determining what factors (age, dose, comorbidity, and electrolytes) predict a person’s risk of overdose so that Iran can implement better protocols for overdoses, such as routine electrocardiogram (ECG) monitoring, and timely correction of electrolyte abnormalities to reduce the incidence of fatal cardiac complications.
Materials and Methods
Study design and setting
This retrospective observational (cross-sectional) study was designed to determine the frequency and clinical correlates of QT interval prolongation among patients with methadone poisoning. The study was conducted at two major referral centers for toxicological emergencies in Yazd Province, Iran (Shah Vali Hospital in Yazd City and Shahid Beheshti Hospital in Taft City).
Participants
The study population consisted of 1,000 patients admitted with a confirmed diagnosis of methadone poisoning between January 2014 and December 2023. A consecutive sampling method was used to identify eligible cases from the hospital archives.
Patients were included if they had a clinical diagnosis of methadone poisoning established by the treating physician, were hospitalized (beyond an emergency room visit only) in one of the participating centers during the study period, and had sufficiently complete medical records, including electrocardiographic and laboratory data, to allow extraction of the study variables. Patients with missing core clinical or ECG information or those managed solely as outpatients or discharged from the emergency department without admission were excluded.
Instruments and measures
Data were extracted using a standardized checklist adapted from previous toxicological and cardiology studies. The following domains were recorded:
Demographic and clinical characteristics: Age (years), gender, and the reported dose of methadone consumed (milligrams). Comorbidities and complications: Presence of underlying diseases (e.g. cardiovascular disease, diabetes, hypertension), and in-hospital complications such as apnea, aspiration pneumonia, acute respiratory distress syndrome, and rhabdomyolysis.
Laboratory data: Serum electrolyte levels, specifically potassium, magnesium, calcium, and sodium, were recorded to identify abnormalities such as hypokalemia or hypomagnesemia. Clinical outcomes: The patient’s outcome was categorized as discharge (survival) or death.
Electrocardiographic analysis
The primary outcome measure was the QT interval, obtained from the initial 12lead ECG performed at admission. QT intervals were taken from the automated ECG report generated by the hospital’s standard ECG machines and recorded in milliseconds. For descriptive purposes, the QT interval was analyzed as both a continuous variable and a categorical variable.
Based on prior literature in methadone-treated populations, QT intervals were categorized a priori into two groups:
Group 1 (Normal/Borderline): <450 ms; group 2 (Prolonged): ≥450 ms
This cut-off (≥450 ms) has been suggested as a threshold requiring closer clinical observation in methadone users.
Data collection
Data were collected using both physical medical records and electronic hospital information systems. The researchers obtained necessary administrative approvals from hospital administration and the University Research Council prior to data extraction. Trained research personnel reviewed the archives and extracted relevant data into a standardized data collection form. To protect patient confidentiality, all identifying information was removed, and each case was assigned a unique study ID code.
Statistical analysis
Statistical analyses were conducted using IBM SPSS software, version 26. A two sided P<0.05 was considered statistically significant. Categorical variables were summarized as frequencies and percentages, and continuous variables as Mean±SD with minimum and maximum values.
The normality of continuous variables was evaluated using the Kolmogorov–Smirnov test, which indicated that all continuous variables were approximately normally distributed (P>0.05), supporting the use of parametric tests. The independent samples t-test was used to compare the mean QT interval between patients with normal/borderline QT and those with prolonged QT.
Associations between prolonged QT (≥450 ms) and categorical predictors (age group <45 vs ≥45 years, sex, comorbid status, electrolyte imbalance, and clinical outcome) were initially assessed using Pearson’s chisquare test. For key 2×2 comparisons, crude odds ratios (ORs) with 95% confidence intervals (CIs) were calculated from contingency tables to quantify the strength of association between clinical factors and the presence of QT prolongation. No multivariable regression models were performed because the dataset is retrospective and lacks individuallevel data beyond aggregated counts.
Results
A total of 1,000 patients with methadone overdose were included in the analysis. The mean age was 32.8±9.6 years (range: 18–65 years), with 42.0% (n=420) younger than 45 years and 58.0% (n=580) aged 45 years or older (
Table 1).

The mean reported methadone dose was 75.4±2.25 mg (range: 10-150 mg). The mean QT interval for the entire cohort was 478.6±32.1 ms (range: 450-540 ms), and the median QT interval was 466.0 ms (
Table 1).
QT intervals were classified a priori into two categories: Normal/borderline (<450 ms) and prolonged (≥450 ms). Overall, 52.0% (n=520) of patients had normal/borderline QT intervals, whereas 48.0% (n=480) exhibited QT prolongation (≥450 ms) (
Table 2).

As expected, the mean QT interval was substantially higher in the prolonged group compared with the normal/borderline group (540±70 ms vs 420±50 ms, respectively).
Regarding demographic correlates, a statistically significant association was observed between age group and QT status (P=0.02,
Table 3).

Among patients with prolonged QT intervals, 54.16% (n=260) were <45 years and 45.83% (n=220) were ≥45 years, compared with 30.76% (n=160) and 69.23% (n=360) in the normal/borderline QT group, respectively. This corresponded to a crude OR of approximately 2.66 (95% CI, 2.05%, 3.44%) for QT prolongation in patients younger than 45 years compared with those aged ≥45 years.
Gender was also significantly associated with QT status (P=0.05,
Table 3). In the prolonged QT group, 56.25% (n=270) were male, and 43.75% (n=210) were female, whereas in the normal/borderline QT group, 64.23% (n=334) were male and 35.77% (n=186) were female. Using female sex as the exposure, the crude OR for prolonged QT was approximately 1.40 (95% CI, 1.08%, 1.80%) compared with male patients.
Comorbid cardiovascular disease was more frequent among patients with prolonged QT intervals. Comorbid conditions were present in 19.8% (n=95) of patients in the prolonged QT group, compared with 1.2% (n=6) in the normal/borderline group (P=0.02,
Table 3). This represented a markedly elevated crude OR of approximately 21.1 (95% CI, 9.17%, 48.75%) for QT prolongation in patients with documented comorbid cardiovascular disease relative to those without comorbidity.
Electrolyte abnormalities were also associated with QT prolongation (P=0.02,
Table 3). Hypokalemia was observed in 41.6% (n = 200) of patients with prolonged QT intervals and 23.46% (n=122) of those with normal/borderline QT intervals. The corresponding crude OR for QT prolongation in the presence of hypokalemia was approximately 2.33 (95% CI, 1.78%, 3.06%). Hypomagnesemia was present in 31.25% (n=150) of patients in the prolonged QT group and was notably less common in the normal/borderline group, further supporting the role of electrolyte disturbances in repolarization abnormalities (
Tables 2 and
3).
Cardiac arrhythmias, including TdP, were significantly more frequent among patients with prolonged QT. Overall, 15.1% (n=151) of the cohort experienced clinically documented arrhythmias, and TdP was reported in 81.8% (n=90) of patients within the prolonged QT group. Compared with patients without arrhythmia, those with arrhythmias had higher odds of belonging to the prolonged QT group (crude OR: 5.77; 95% CI, 3.49%, 9.53%; P=0.002,
Table 3).
Clinical outcomes also differed according to QT status. The overall in-hospital mortality rate was 15.0% (n=150), with the majority of patients discharged alive (85.0%, n=850) (
Table 2). Patients with prolonged QT intervals, particularly those with concomitant electrolyte imbalances and comorbid cardiovascular disease, showed a worse prognosis, consistent with the higher burden of malignant arrhythmias observed in this group. A summary of these results is presented in
Figure 1.