Skip to main content

ORIGINAL RESEARCH article

Front. Psychiatry, 18 May 2022
Sec. Mood Disorders
This article is part of the Research Topic Comorbidity in Bipolar Disorder, volume II View all 10 articles

The Toxicity Potential of Antidepressants and Antipsychotics in Relation to Other Medication and Alcohol: A Naturalistic and Retrospective Study

\r\nMarleen M. M. Swoboda&#x;Marleen M. M. Swoboda1†Lucie Bartova*&#x;Lucie Bartova1*†Marlene DremelMarlene Dremel1Ulrich RablUlrich Rabl1Anton LaggnerAnton Laggner2Richard Frey*\r\nRichard Frey1*
  • 1Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
  • 2Department of Emergency Medicine, Medical University of Vienna, Vienna, Austria

QT interval prolongation and ventricular tachyarrhythmia are potential adverse effects of antidepressant (AD) and antipsychotic- (AP) agents, especially when overdosed. Since AD and AP agents are often prescribed to patients suffering from suicidal intentions, it is essential to estimate these risks in the context of intoxications. This retrospective and naturalistic one-year registry study included 105 patients treated for oral intoxication at the University Department of Emergency Medicine in Vienna, Austria. AD/AP intoxications were present in 26 patients, while in the control group (n = 79) non-AD/AP drugs (n = 54) and exclusively alcohol (n = 25) were the toxic agents. QT intervals, the necessity of intubation, the extent of conscious state, and the subsequent discharge management were compared. The mean age was 34.94 ± 14.6 years, 62 patients (59%) were female. There were no significant between-group differences regarding QT prolongation >470 ms using Bazett’s correction (p = 0.178), or >440 ms using Fridericia’s correction (p = 0.760). No significant group differences concerning the need for intubation were observed (p = 0.747). The AD/AP and the control group did not significantly differ regarding Glasgow Coma Scale scores (p = 0.439). Patients with AD/AP intoxication were significantly more often transferred to the psychiatric department, while discharge to home was more likely in the control group (p = 0.002). These results suggest that the risk of a potentially life-threatening outcome in cases of intoxication with AD/AP is not substantially higher than in other easily available toxic agents, in line with the advantageous risk/benefit ratio of newer ADs and APs.

Introduction

Antidepressants (AD) and antipsychotics (AP) administered as monotherapy or in the course of combinations/augmentations are recommended as first-line treatments for psychiatric disorders with a high risk of suicidality according to the current international treatment guidelines (14). In this context, it is necessary to mention that adequate psychopharmacotherapy was repeatedly shown to decrease the risk of suicidal behavior (513). On the other hand, the risk of suicidality as an adverse effect of psychopharmacotherapy was discussed thoroughly, especially regarding ADs (14) but could not be ultimately confirmed (1517). Intoxication as a method of committing suicide is often realized with accessible agents such as prescribed medications or alcohol (18). Notably, self-poisoning with psychopharmacotherapy accounted for 25% of completed suicides in men and 45% in women (19).

Although the general toxicity of ADs is expected to be relatively low (20), there is evidence for cases of fatal toxicity with risk varying substantially between the particular AD substance classes (21, 22). In this context, it is essential to systematically estimate the related risk potentials of such frequently prescribed substances. In terms of ADs and APs, cardiovascular effects seem to be most relevant (23, 24), with QT interval prolongation present in approximately 8% of patients undergoing psychopharmacotherapy (25). Increasing the risk for torsades des pointes, QT interval prolongation represents a significant risk factor for sudden cardiac death (26). Although optimal adjustments for heart rate and exact thresholds to correlate with arrhythmic risk have not been established yet (27, 28), internationally accepted formulas to measure the QT interval exist (29), whereby the Bazett (30) and Fridericia (31) QT correction formulas represent the currently recommended measures (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1. Comparison between the QT prolongation corrected for heart rate (HR; QT-HR correlation) via (A) Bazett’s correction QTc=QT(ms)RR-distance(s) and (B) Fridericia’s correction QTc=QT(ms)RR3-distance(s). While the QTc intervals are given in milliseconds (ms) and the RR-distances in seconds (s), the heart rate is expressed as beats per minute (bpm).

The present study aims to compare intoxications with ADs, APs, or both with those of other medications and alcohol to illustrate the toxicity potential of these substances in a general population treated for intoxication.

Materials and Methods

Study Design

The naturalistic retrospective register study was approved by the Ethics Committee (EC) of the Medical University of Vienna (MUV) (EC number: 1626/2013) and conducted between 09/2013 and 09/2014. Based on the documented medical history during inpatient care at the Department of Emergency Medicine of the MUV, patients suffering from intoxications with ADs, APs, or other substances were consecutively registered.

Patients

Both male and female patients above 17 years diagnosed with and treated for oral intoxication were included. Furthermore, available electrocardiography (ECG) reports at admission were mandatory for enrollment in the present study. Exclusion criteria comprised parenteral intoxications (intravenous-, gas poisoning), acute intoxications with opioids, non-medical substances such as fungal toxins, or chronic intoxications, e.g., long-term overdosing with coumarin-type drugs.

Data Collection

QT intervals were extracted from the available ECG reports and subsequently corrected for individual heart rate using the Bazett (QTc-B) and Fridericia (QTc-F) formulas (Figure 1). A QTc-B above 470 ms and a QTc-F above 440 ms were considered pathologic. All ECG reports were derived from 12-lead ECGs with a 25 mm/sec feed rate.

The necessity of intubation was evaluated to estimate the severity of intoxication in a clinically pragmatic way. We differentiated between endotracheal and pharyngeal intubation employing Guedel and Wendl tubes, respectively (32, 33). Moreover, scores of the Glasgow Coma Scale (GCS) were obtained for each patient at the time of admission at the Department of Emergency Medicine. Discharge management was represented either by transfer to the Department of Psychiatry and Psychotherapy or the Department of Internal Medicine (general ward or intensive care unit) or by discharges to home corresponding with or against medical advice.

Statistical Analyses

In total, 105 patients could be included in the study and were grouped accordingly: intoxication with (1) ADs/APs, and (2) non-AD/AP substances, which were further subdivided into intoxications with non-AD/AP drugs and exclusively alcohol.

The socio-demographic (age, sex), clinical [QTc interval, intubation, and Glasgow Coma Scale (GCS)], and discharge management were displayed using descriptive statistics (means ± standard deviation, percentages). Between-group differences in categorical variables (sex, QTc-B >470 ms, QTc-F >440/470 ms, intubation, discharge management) were assessed using chi-squared tests and Fisher’s/Fisher-Freeman-Halton exact tests in the case of small subsamples. Metric data were tested for Gaussian distribution via the Kolmogorov Smirnov test. To test for between-group differences in continuous variables (heart rate, QTc-B, QTc-F, and GCS), t-tests (for comparison of two groups), and analyses of variance (ANOVA) (for comparison of more than two groups) were used. Mann–Whitney-U tests (i.e., Wilcoxon signed-rank tests for comparison of two groups and Kruskal-Wallis tests for comparison of more than two groups) were performed in case of continuous non-normally distributed or ordinally scaled data. All data analyses were conducted two-sided, and p-values ≤0.05 were identified as statistically significant. IBM SPSS Statistics software (version 22.0, IBM Corp., Armonk, NY, United States) was employed for all statistical analyses. To better understand the comparison of QTc values between the AD/AP and control group, we conducted a post-hoc power analysis for a t-test of means of two samples with different sizes, based on the sample sizes and standard deviations found in our cohort. This analysis was performed in R (version 4.1.11), using the R packages “pwr” and “ggplot2” for calculation and visualization, respectively.

Results

Descriptive Data

Out of the 105 patients, 62 (59%) were female. There were no duplicates in the assessed sample. The age ranged from 17 to 87 years, with a mean age of 34.9 ± 14.6 years at intoxication. 26 patients (24.8 %) were intoxicated with ADs/APs, comprising sole intoxications with ADs/APs and those mixed with other substances. 13 and 16 intoxications included ADs and APs, respectively. In three cases, both ADs and APs were involved. Table 1 shows these individual cases. Nine patients ingested selective serotonin reuptake inhibitors (SSRIs) or trazodone. In the control group (n = 79), 54 cases consisted of drug intoxications without AD/AP involvement, and 25 patients exclusively experienced mono-intoxications with alcohol. Within the non-AD/AP group, benzodiazepines (n = 30), Z-drugs (n = 7), anticonvulsants (n = 6), non-steroidal anti-inflammatory drugs (n = 18, predominantly mefenamine), antihistamines (n = 5), antiarrhythmic drugs (n = 3), and others (n = 13) including antidiabetics, amphetamines, and muscle relaxants were involved (Figure 2).

TABLE 1
www.frontiersin.org

Table 1. Individual cases of the AD/AP group.

FIGURE 2
www.frontiersin.org

Figure 2. Categories and shares of all substances utilized for overdosing. (AD/AP = antidepressants/antipsychotics).

Single substance intoxications were present in seven patients (26.9%) in the AD/AP group (Table 1: 3x trazodone, 1x bupropion, 1x olanzapine, 1x chlorprothixene, 1x quetiapine) and 21 patients (38.9%) in the non-AD/AP subgroup. Co-ingestion of alcohol was observed in 6 patients (23.1%) of the AD/AP group and in 17 patients (31.5%) of the control group with other medication.

Heart Rate

The mean heart rate amounted to 91.7 ± 15.1 bpm in the AD/AP group and 88.3 ± 18.8 bpm in the control group, with no significant between-group differences [t(102) = −0.851, p = 0.397]. Comparing AD/AP with the control subgroups, there were also no significant differences (non-AD/AP group: 86.8 ± 19.3 bpm, t(77) = 1.147, p = 0.255; alcohol group: 91.4 ± 17.6 bpm, t(49) = 0.063, p = 0.950).

There was no significant difference in heart rate between male and female cases (male: 89.0 ± 18.4 bpm; female: 89.3 ± 17.7 bpm, t(102) = −0.086, p = 0.932).

QT Interval Corrected for Heart Rate (QTc)

Mean QTc-B did not significantly differ between the AD/AP (456.19 ± 28.21 ms) and the control group (446.79 ± 31.18 ms; t(102) = −1.362, p = 0.176), nor between the subgroups (non-AD/AP: 442.91 ± 28.48 ms; alcohol: 455.04 ± 35.46 ms; F(2, 101) = 2.312, p = 0.104), and between males and females (females: 450.21 ± 24.47 ms; males: 447.63 ± 24.41 ms; t(102) = −0.423, p = 0.674). 21 patients (20%) showed a pathological QTc-B >470 ms, with no significant differences between the AD/AP (seven cases, 26.9%) and the control group (14 cases, 17.7%; X2 (1, 105) = 1.04, p = 0.309). Similarly, there were no significant differences between the three subgroups, as well as between mono- and poly-intoxications in QTc-B values >470 ms (all p > 0.05). High QTc-B prolongations of >500 ms were detected in 3 patients (1 case in the AD/AP group, 2 cases in the control group).

Regarding QTc-F, the mean QTc-F in the AD/AP group was 426.65 ± 22.08 ms and 420.57 ± 24.63 ms in the control group (non-AD/AP subgroup: 418.42 ± 23.10 ms; alcohol subgroup: 425.88 ± 27.39 ms). Analogous to QTc-B, there were no significant differences between the AD/AP and the control group (t (103) = −1.120, p = 0.266), respectively the subgroups (F(2, 102) = 1.531, p = 0.221), as well as between males and females (females: 422.56 ± 26.53 ms; males: 421.4 ± 20.27 ms; t(103) = −0.249, p = 0.804). Figure 3 shows median values and percentiles (box plots) of the QTc-B and QTc-F data set in the AD/AP group and both control groups. Post-hoc power analysis suggested that the available sample would have been sufficiently powered (power = 0.8) to detect an effect of around 20 ms mean difference (Supplementary Figure 1).

FIGURE 3
www.frontiersin.org

Figure 3. Median values and percentiles (box plots) of the QTc-B and QTc-F data set in the AD/AP group and both control groups.

A prolonged QTc-F >440 ms was measured in nine patients (34.6%) in the AD/AP group and 15 patients (19%) in the control group, without reaching significance (Exact Test, p = 0.113). Also, subgroup analysis did not reach significance (X2 (2, 105) = 4.394, p = 0.111). However, a more stringent cut-off at QTc-F >470 ms was only present in two patients (1.9%) in the alcohol subgroup (Exact Test, p = 0.055).

Intubation

Intubation was necessary in 10 (9.5%) of 105 cases. While an oropharyngeal airway was applied in four patients, all from the control group, an endotracheal tube was necessary for six patients (5.7%). No significant differences in terms of the rate of endotracheal intubation were detected between the AD/AP group (1 case) and the control group (5 cases; Exact Test, p = 1), respectively both subgroups (non-AD/AP subgroup: 3 cases; alcohol subgroup: 2 cases; X2 (2, 105) = 0.413, p = 0.813). Patients who received an endotracheal tube were not more likely to suffer from poly- versus mono-intoxication (Exact Test, p = 0.437).

No significant association was identified between the necessity of endotracheal intubation and QTc-B >470 ms (Exact Test, p = 0.093). However, the mean QTc-B of patients who received endotracheal intubation was significantly higher than that of non-intubated patients (488.20 ± 41.11 ms vs. 447.17 ± 28.87 ms; t(102) = −3.040, p = 0.003). Regarding QTc-F, the mean QTc-value of endotracheal intubated patients was also higher than that of non-intubated patients, though not significantly (439.00 ± 36.12 ms vs. 421.05 ± 23.01 ms; t(103) = −1.793, p = 0.076). The two patients in the alcohol group with QTc-F >470 ms were not intubated.

Glasgow Coma Scale

The mean score of the GCS assessed in the AD/AP group was 12.73 ± 3.69 and 12.14 ± 3.80 in the control group. However, the GCS data were not normally distributed (D(105) = 0.253, p < 0.001). The median CGS was 15 in the AD/AP group and 14 in the control group. 48.6% (N = 51) of all patients reached a GCS maximum score of 15. That was achieved in 57.7% (N = 15) in the AD/AP group and in 45.6% (N = 36) in the control group (non-AD/AP: N = 28, 51.9%; alcohol: N = 8, 32%).

Nine patients (8.6%) showed very low vigilance, represented by a GCS total score of 3. Out of those patients, three cases were found in the AD/AP group, five in the non-AD/AP subgroup, and one in the alcohol subgroup. No significant differences were found between the distributions of GCS scores, neither in the AD/AP group and the control group (Mann-Whitney U = 1125.00, p = 0.439) nor between the AD/AP group and the two subgroups (Kruskal-Wallis H(2) = 2.876, p = 0.237). Similarly, GCS scores did not significantly differ between mono- and poly-intoxications (Mann-Whitney U = 1266.500, p = 0.447).

Discharge Management

Of all 105 patients, 55 (52.4%) could be discharged after immediate care, six (5.7%) left the emergency room unplanned (two patients against medical advice and four patients without any notice of departure), five (4.8%) were transferred to a general care unit and three (2.9%) to an internal medicine intensive care unit. 36 patients were transferred to the department of psychiatry and psychotherapy. Non-psychiatric transfers were not significantly overrepresented in one of the groups (X2 (2, 105) = 2.425, p = 0.297). However, significantly more patients from the AD/AP group, but no patients from the alcohol subgroup, were transferred to the psychiatric department (AD/AP: 15/26 cases, 57.7%; non-AD/AP: 21/54 cases, 38.9%; alcohol: 0/25 cases; X2 (2, 105) = 19.874, p < 0.001). Similarly, more patients in the non-AD/AP group (27/54 cases, 50%) and alcohol group (20/25 cases, 80%) than in the AD/AP group (8/26 cases, 30.8%) were discharged after the initial emergency care (X2 (2, 105) = 12.637, p = 0.002).

Discussion

The present study retrospectively examined the toxicity potential of AD and AP agents compared to other medication and alcohol in a sample of 105 patients with rather heterogeneous clinical profiles, who were consecutively treated for oral intoxication at the emergency unit of the MUV within 1 year.

The majority of our sample was female, in line with previous studies that reported a predominance of female suicide attempters (34, 35), especially in the case of intoxication or poisoning (36, 37). Interestingly, the available evidence reported a drop in suicide rates in recent years, though this effect may be partly attributable to misclassifications and underreporting (38, 39). According to available autopsy data, suicides due to self-poisoning may be frequently interpreted as unintended or undetermined due to insufficient proof, resulting in biased suicide rates (40, 41).

We have no valid information about the severity of the patients’ suicidal intent within our sample. High GCS scores and a low intubation rate in most patients may indicate an irresolute death wish. It is not unlikely that several patients, e.g., those with alcohol intoxication alone, suffered from accidental overdoses rather than from suicide attempts. Only in those patients transferred to the psychiatric department (n = 36) the suicide attempt and further suicidal ideation were explicitly documented. The AD/AP target group was, as expected, significantly overrepresented within this group.

We did not divide our target group into antidepressant and antipsychotic subgroups, given the small sample size and the clinically and pharmacologically overlapping effects. ADs and APs are often used in combination to treat psychiatric illnesses linked to suicidal behavior. For instance, several APs are indicated for augmentation therapy in severe or treatment-resistant depression (1, 2). Similarly, QTc prolongation has been a specific concern in developing safer drugs in both drug classes. Regarding the control group, too many different medications were used to allow for a meaningful analysis of subgroups or specific substances.

Considering that acute alcohol intoxication is quite extensively found in emergency departments, it is noteworthy that associated ECG changes are not well defined in the medical literature. A recent systematic review (42) suggests an incidence of about 50% for QTc prolongation. While we found only two patients with QTc-F values higher than 470 ms in our sample of 105 patients, both suffered from alcohol intoxication. These cases may be outliers, or the sample size might be too small since there was no significant group effect. None of the 25 patients with alcohol intoxication were transferred to the psychiatric ward, even though alcohol use disorders constitute an important challenge in psychiatry. It can be speculated that the rather stressful emergency unit setting may not be appropriate to initiate treatment of alcohol use disorders, suggesting the development of tailored interventions for this group.

A comparison between mono- and poly-intoxications did not reveal any significant findings regarding QTc intervals, rates of intubation, or GCS scores in our study. Given the relatively low number of life-threatening overdoses, a lack of power could primarily explain this counterintuitive finding. In addition, the comparison of single and multiple substance intoxications is a methodological problem due to the limited availability of chemical analyses, the overlap in different classification algorithms, and the almost unlimited number of combinations in real-world conditions. It is noteworthy in this context that no patient investigated in our study suffered from intoxication with tricyclic ADs (TCAs). This might be explained by the fact that the prescriptions of TCAs generally decreased due to the increasing use of modern ADs such as SSRIs, which are equally effective, much better tolerated, and recommended as first-line treatment (2, 43, 44).

As the present results did not reveal any significant group differences in heart rate, QTc-B, QTc-F, rate of intubation, and GCS scores, we postulate that ADs and APs generally do not show higher toxicity potential than non-AD/AP medications and alcohol. These results are in contrast to reports of overdoses of APs that, in some circumstances, were associated with a higher risk for intubation compared to other psychiatric and nonpsychiatric medications (45, 46). Post-hoc power analysis suggested that our sample would likely have been sufficiently powered to observe a mean difference of around 20 ms between the AD/AP and the control group. Our data, therefore, is too small to conclude that there is no clinically significant effect of ADs/APs on QTc values. Still, the data suggests that it is smaller than commonly anticipated.

Interestingly, patients receiving intubation showed a significantly higher QTc-B, a tendency that was also trend-wise present for mean QTc-F. While mean QTc and the need for intubation are unlikely directly causally related, this result suggests that prolonged QTc and potentially higher cardiac risk are generally associated with the need for more intensive medical care, i.e., intubation. A tendency toward higher QTc-F in the alcohol subgroup further confirms previous findings (47).

Regarding the subsequent treatment, the discharge rate was the lowest, and the transfer rate to the department of psychiatry and psychotherapy was the highest within the AD/AP group. In contrast, the control group, especially the alcohol subgroup, showed an opposite pattern. Patients who already received psychopharmacotherapy were more often referred to subsequent psychiatric care. Correspondingly, international evidence shows that being diagnosed with a psychiatric disorder is associated with a higher risk for suicide attempts (1, 35). Furthermore, such associations, including rates for completed suicide, were prominent in patients treated with TCAs, representing older AD substances that were largely replaced by newer AD substances such as SSRIs and SNRIs (43, 48) due to their beneficial side effect profile (21, 49), especially in terms of QTc prolongation (25, 44). Although international treatment guidelines recommend the employment of SSRIs and SNRIs as first-line AD treatment (2), heterogeneous prescription and suicide rates identified in international samples may additionally reflect the varying quality and access of mental health care (50). Crucially, improvement of access to psychiatric care and the adequate use of ADs were repeatedly associated with a decrease in suicide rates in Austria (51) and in Europe in general (6), supporting the relevance of individualized suicide prevention strategies (52).

Several limitations need to be addressed. The retrospective cross-sectional study design does not justify causal conclusions. Furthermore, due to the applied naturalistic design that solely relied on the available case history, valid data about the included patients were not available, such as detailed socio-demographic characteristics, psychiatric and somatic diagnoses, the presence and severity of specific clinical indicators, including suicidality, and details related to the ongoing treatments. Moreover, plasma levels of the suspected toxic agents, breath-alcohol analysis, or blood electrolytes could not be analyzed due to limited availability. Additionally, sample characteristics such as the relatively low number of life-threatening overdoses, the sample size and the fact that we did not observe any significant differences between mono- and poly-intoxications in terms of mean QTc intervals, intubation rates, and GCS total scores might be critically considered. On the other hand, we are confident that these real-world data provide a valuable and generalizable perspective on oral intoxications and their management in clinical routine.

Although morbidity and mortality associated with ADs, APs, and other psychopharmacotherapeutics remain frequent subjects of scientific discourse (53), the present study corroborates the relative safety of AD/AP medication even in patients at increased risk for suicidality. It, therefore, supports the adequate use of these drugs in this vulnerable patient group, even more so since it was repeatedly shown to reduce suicidality (1, 2, 43). In emergency settings, the potential stigmatization of patients suffering from psychiatric disorders should be considered, focusing on potentially underdiagnosed psychiatric comorbidities.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author. The data were initially introduced in the course of a diploma thesis conducted in German language by MD in 2018 at the Medical University of Vienna in Austria (https://repositorium.meduniwien.ac.at/obvumwhs/content/titleinfo/2944560).

Ethics Statement

The studies involving human participants were reviewed and approved by the Ethics Committee (EC) of the Medical University of Vienna (EC number: 1626/2013). Written informed consent from the participants’ legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.

Author Contributions

MS: interpretation of data for the work, drafting the work, and approval of the final version of the manuscript. LB: drafting and revising the manuscript critically for important intellectual content and English language, and approval of the final version of the manuscript. MD: substantial contributions to the conception and design of the work, data acquisition, statistical analysis, diploma thesis in German language, and approval of the final version of the manuscript. UR: statistical analysis, revising the manuscript critically for important intellectual content and English language, and approval of the final version of the manuscript. AL: substantial contributions to the conception and design of the work, responsibility for data acquisition as head of the Department of Emergency Medicine at the Medical University of Vienna, and approval of the final version of the manuscript. RF: substantial contributions to the conception and design of the work, agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy and integrity of any part of the work are appropriately investigated and resolved, supervision of the diploma thesis conducted by MD, and approval of the final version of the manuscript. All authors contributed to designing the study, implementation of the research, and critically revised and approved the final manuscript.

Conflict of Interest

LB has received travel grants and/or consultant/speaker honoraria from AOP Orphan, Medizin Medien Austria, Universimed, Vertretungsnetz, Schwabe, Janssen, Angelini, and Lundbeck. RF has received consulting fees from Janssen-Cilag and LivaNova as well as speaker honoraria from Janssen-Cilag and Lundbeck.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2022.825546/full#supplementary-material

Footnotes

  1. ^ http://cran-r-project.org/

References

1. Bartova L, Dold M, Kautzky A, Fabbri C, Spies M, Serretti A, et al. Results of the European group for the study of resistant depression (GSRD) – basis for further research and clinical practice. World J Biol Psychiatry. (2019) 20:427–48. doi: 10.1080/15622975.2019.1635270

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Bauer M, Severus E, Möller HJ, Young AH. Pharmacological treatment of unipolar depressive disorders: summary of WFSBP guidelines. Int J Psychiatry Clin Pract. (2017) 21:166–76. doi: 10.1080/13651501.2017.1306082

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Berardelli I, Rogante E, Sarubbi S, Erbuto D, Lester D, Pompili M. The importance of suicide risk formulation in schizophrenia. Front Psychiatry. (2021) 12:779684. doi: 10.3389/fpsyt.2021.779684

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Kraus C, Kadriu B, Lanzenberger R, Zarate CA Jr, Kasper S. Prognosis and improved outcomes in major depression: a review. Transl Psychiatry. (2019) 9:127. doi: 10.1038/s41398-019-0460-3

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Bachmann S. Epidemiology of suicide and the psychiatric perspective. Int J Environ Res Public Health. (2018) 15:1425. doi: 10.3390/ijerph15071425

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Gusmão R, Quintão S, McDaid D, Arensman E, Van Audenhove C, Coffey C, et al. Antidepressant utilization and suicide in Europe: an ecological multi-national study. PLoS One. (2013) 8:e66455. doi: 10.1371/journal.pone.0066455

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Hor K, Taylor M. Suicide and schizophrenia: a systematic review of rates and risk factors. J Psychopharmacol. (2010) 24(4 Suppl.):81–90. doi: 10.1177/1359786810385490

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Karvonen K, Sammela HL, Rahikkala H, Hakko H, Särkioja T, Meyer-Rochow VB, et al. Sex, timing, and depression among suicide victims with schizophrenia. Compr Psychiatry. (2007) 48:319–22. doi: 10.1016/j.comppsych.2007.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Morgan OW, Griffiths C, Majeed A. Association between mortality from suicide in England and antidepressant prescribing: an ecological study. BMC Public Health. (2004) 4:63. doi: 10.1186/1471-2458-4-63

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Nierenberg AA. Long-term management of chronic depression. J Clin Psychiatry. (2001) 62(Suppl. 6):17–21.

Google Scholar

11. Rihmer Z. Can better recognition and treatment of depression reduce suicide rates? A brief review. Eur Psychiatry. (2001) 16:406–9. doi: 10.1016/s0924-9338(01)00598-3

CrossRef Full Text | Google Scholar

12. Tiihonen J, Mittendorfer-Rutz E, Majak M, Mehtälä J, Hoti F, Jedenius E, et al. Real-world effectiveness of antipsychotic treatments in a nationwide cohort of 29–823 patients with schizophrenia. JAMA Psychiatry. (2017) 74:686–93. doi: 10.1001/jamapsychiatry.2017.1322

PubMed Abstract | CrossRef Full Text | Google Scholar

13. van Os J, Kapur S. Schizophrenia. Lancet. (2009) 374:635–45. doi: 10.1016/s0140-6736(09)60995-8

CrossRef Full Text | Google Scholar

14. Hall WD, Lucke J. How have the selective serotonin reuptake inhibitor antidepressants affected suicide mortality? Aust N Z J Psychiatry. (2006) 40:941–50. doi: 10.1080/j.1440-1614.2006.01917.x

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Khan A, Khan S, Kolts R, Brown WA. Suicide rates in clinical trials of SSRIs, other antidepressants, and placebo: analysis of FDA reports. Am J Psychiatry. (2003) 160:790–2. doi: 10.1176/appi.ajp.160.4.790

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Möller HJ. Is there evidence for negative effects of antidepressants on suicidality in depressive patients? A systematic review. Eur Arch Psychiatry Clin Neurosci. (2006) 256:476–96. doi: 10.1007/s00406-006-0689-8

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Rihmer Z. [Antidepressants, depression and suicide]. (Antidepresszívumok, depresszió és öngyilkosság.). Neuropsychopharmacol Hung. (2013) 15:157–64.

Google Scholar

18. Currie DW, Schwab-Reese LM, Runyan CW. Psychiatric diagnoses are associated with means selection in United States suicide deaths. Soc Psychiatry Psychiatr Epidemiol. (2021) 56:1791–9. doi: 10.1007/s00127-020-01999-2

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Flanagan RJ. Fatal toxicity of drugs used in psychiatry. Hum Psychopharmacol. (2008) 23(Suppl. 1):43–51. doi: 10.1002/hup.916

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Brett J, Wylie CE, Raubenheimer J, Isbister GK, Buckley NA. The relative lethal toxicity of pharmaceutical and illicit substances: a 16-year study of the greater Newcastle Hunter area, Australia. Br J Clin Pharmacol. (2019) 85:2098–107. doi: 10.1111/bcp.14019

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Frey R, Schreinzer D, Stimpfl T, Vycudilik W, Berzlanovich A, Kasper S. Suicide by antidepressant intoxication identified at autopsy in Vienna from 1991-1997: the favourable consequences of the increasing use of SSRIs. Eur Neuropsychopharmacol. (2000) 10:133–42. doi: 10.1016/s0924-977x(00)00055-9

CrossRef Full Text | Google Scholar

22. Mason J, Freemantle N, Eccles M. Fatal toxicity associated with antidepressant use in primary care. Br J Gen Pract. (2000) 50:366–70.

PubMed Abstract | Google Scholar

23. Abosi O, Lopes S, Schmitz S, Fiedorowicz JG. Cardiometabolic effects of psychotropic medications. Horm Mol Biol Clin Investig. (2018) 36. doi: 10.1515/hmbci-2017-0065

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Correll CU, Detraux J, De Lepeleire J, De Hert M. Effects of antipsychotics, antidepressants and mood stabilizers on risk for physical diseases in people with schizophrenia, depression and bipolar disorder. World Psychiatry. (2015) 14:119–36. doi: 10.1002/wps.20204

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Alvarez PA, Pahissa J. QT alterations in psychopharmacology: proven candidates and suspects. Curr Drug Saf. (2010) 5:97–104. doi: 10.2174/157488610789869265

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Mackin P. Cardiac side effects of psychiatric drugs. Hum Psychopharmacol. (2008) 23(Suppl. 1):3–14. doi: 10.1002/hup.915

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Al-Khatib SM, LaPointe NM, Kramer JM, Califf RM. What clinicians should know about the QT interval. JAMA. (2003) 289:2120–7. doi: 10.1001/jama.289.16.2120

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Glassman AH. Schizophrenia, antipsychotic drugs, and cardiovascular disease. J Clin Psychiatry. (2005) 66(Suppl. 6):5–10.

PubMed Abstract | Google Scholar

29. Indik JH, Pearson EC, Fried K, Woosley RL. Bazett and Fridericia QT correction formulas interfere with measurement of drug-induced changes in QT interval. Heart Rhythm. (2006) 3:1003–7. doi: 10.1016/j.hrthm.2006.05.023

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Bazett HC. An analysis of the time relations of electrocardiograms. Heart. (1920) 7:353–70.

Google Scholar

31. Fridericia LS. Die systolendauer im elektrokardiogramm bei normalen menschen und bei herzkranken. Acta Med Scand. (1920) 53:469–86. doi: 10.1111/j.0954-6820.1920.tb18266.x

CrossRef Full Text | Google Scholar

32. Enk D, Palmes AM, Van Aken H, Westphal M. Nasotracheal intubation: a simple and effective technique to reduce nasopharyngeal trauma and tube contamination. Anesth Analg. (2002) 95:1432–6, table of contents. doi: 10.1097/00000539-200211000-00061

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Robinson DH, Toledo AH. Historical development of modern anesthesia. J Invest Surg. (2012) 25:141–9. doi: 10.3109/08941939.2012.690328

PubMed Abstract | CrossRef Full Text | Google Scholar

34. de Araújo RM, Mazzochi L, Lara DR, Ottoni GL. Thinking about dying and trying and intending to die: results on suicidal behavior from a large web-based sample. J Clin Psychiatry. (2015) 76:e359–65. doi: 10.4088/JCP.13m08864

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Nock MK, Borges G, Bromet EJ, Alonso J, Angermeyer M, Beautrais A, et al. Cross-national prevalence and risk factors for suicidal ideation, plans and attempts. Br J Psychiatry. (2008) 192:98–105. doi: 10.1192/bjp.bp.107.040113

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Etzersdorfer E, Klein J, Baus N, Sonneck G, Kapusta ND. Epidemiology of suicide in Austria during 2000-2010: potential years of life lost: time for the national suicide prevention program. Wien Klin Wochenschr. (2015) 127:308–13. doi: 10.1007/s00508-015-0729-3

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Sulaj Z, Prifti E, Demiraj A, Strakosha A. Early clinical outcome of acute poisoning cases treated in intensive care unit. Med Arch. (2015) 69:400–4. doi: 10.5455/medarh.2015.69.400-404

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Bartova L, Dold M, Fugger G, Kautzky A, Mitschek MMM, Weidenauer A, et al. Sex-related effects in major depressive disorder: results of the European group for the study of resistant depression. Depress Anxiety. (2021) 38:896–906. doi: 10.1002/da.23165

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Rockett IR, Hobbs G, De Leo D, Stack S, Frost JL, Ducatman AM, et al. Suicide and unintentional poisoning mortality trends in the United States, 1987-2006: two unrelated phenomena? BMC Public Health. (2010) 10:705. doi: 10.1186/1471-2458-10-705

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Kapusta ND, Tran US, Rockett IR, De Leo D, Naylor CP, Niederkrotenthaler T, et al. Declining autopsy rates and suicide misclassification: a cross-national analysis of 35 countries. Arch Gen Psychiatry. (2011) 68:1050–7. doi: 10.1001/archgenpsychiatry.2011.66

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Rockett IRH, Caine ED, Stack S, Connery HS, Nolte KB, Lilly CL, et al. Method overtness, forensic autopsy, and the evidentiary suicide note: a multilevel national violent death reporting system analysis. PLoS One. (2018) 13:e0197805. doi: 10.1371/journal.pone.0197805

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Raheja H, Namana V, Chopra K, Sinha A, Gupta SS, Kamholz S, et al. Electrocardiogram changes with acute alcohol intoxication: a systematic review. Open Cardiovasc Med J. (2018) 12:1–6. doi: 10.2174/1874192401812010001

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Fugger G, Bartova L, Fabbri C, Fanelli G, Dold M, Swoboda MMM, et al. The sociodemographic and clinical profile of patients with major depressive disorder receiving SSRIs as first-line antidepressant treatment in European countries. Eur Arch Psychiatry Clin Neurosci. (2022). doi: 10.1007/s00406-021-01368-3 [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Spindelegger CJ, Papageorgiou K, Grohmann R, Engel R, Greil W, Konstantinidis A, et al. Cardiovascular adverse reactions during antidepressant treatment: a drug surveillance report of German-speaking countries between 1993 and 2010. Int J Neuropsychopharmacol. (2014) 18:yu080. doi: 10.1093/ijnp/pyu080

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Beauchamp GA, Giffin SL, Horowitz BZ, Laurie AL, Fu R, Hendrickson RG. Poisonings associated with intubation: US national poison data system exposures 2000-2013. J Med Toxicol. (2016) 12:157–64. doi: 10.1007/s13181-015-0528-2

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Schreinzer D, Frey R, Stimpfl T, Vycudilik W, Berzlanovich A, Kasper S. Different fatal toxicity of neuroleptics identified by autopsy. Eur Neuropsychopharmacol. (2001) 11:117–24.

Google Scholar

47. Lorsheyd A, de Lange DW, Hijmering ML, Cramer MJ, van de Wiel A. PR and OTc interval prolongation on the electrocardiogram after binge drinking in healthy individuals. Neth J Med. (2005) 63: 59–63.

PubMed Abstract | Google Scholar

48. Winkler D, Kaltenboeck A, Frey R, Kasper S, Pjrek E. Changes over time of the diagnostic and therapeutic characteristics of patients of a psychiatric intensive care unit in Austria. Compr Psychiatry. (2019) 93:20–6. doi: 10.1016/j.comppsych.2019.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Frey R, Kindler J, Naderi-Heiden A. Klinische Toxikologie der trizyklischen antidepressiva. moderne antidepressiva verringern suizidgefahr. Pharmazie in unserer Zeit. (2008) 37:250–5. doi: 10.1002/pauz.200800269

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Gibbons RD, Hur K, Bhaumik DK, Mann JJ. The relationship between antidepressant medication use and rate of suicide. Arch Gen Psychiatry. (2005) 62:165–72. doi: 10.1001/archpsyc.62.2.165

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Kapusta ND, Niederkrotenthaler T, Etzersdorfer E, Voracek M, Dervic K, Jandl-Jager E, et al. Influence of psychotherapist density and antidepressant sales on suicide rates. Acta Psychiatr Scand. (2009) 119:236–42. doi: 10.1111/j.1600-0447.2008.01314.x

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Blüml V, Helbich M, Mayr M, Turnwald R, Vyssoki B, Lewitzka U, et al. Antidepressant sales and regional variations of suicide mortality in Germany. J Psychiatr Res. (2017) 87:88–94. doi: 10.1016/j.jpsychires.2016.12.013

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Nelson JC, Spyker DA. Morbidity and mortality associated with medications used in the treatment of depression: an analysis of cases reported to U.S. poison control centers, 2000-2014. Am J Psychiatry. (2017) 174:438–50. doi: 10.1176/appi.ajp.2016.16050523

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: toxicity, electrocardiography, antidepressants, antipsychotics, alcohol, emergency psychiatry

Citation: Swoboda MMM, Bartova L, Dremel M, Rabl U, Laggner A and Frey R (2022) The Toxicity Potential of Antidepressants and Antipsychotics in Relation to Other Medication and Alcohol: A Naturalistic and Retrospective Study. Front. Psychiatry 13:825546. doi: 10.3389/fpsyt.2022.825546

Received: 30 November 2021; Accepted: 11 April 2022;
Published: 18 May 2022.

Edited by:

Domenico De Berardis, Mental Health Center (CSM) and Psychiatric Service of Diagnosis and Treatment (SPDC), Italy

Reviewed by:

Alessandro Cuomo, University of Siena, Italy
Carmine Tomasetti, SPDC di Giulianova, Italy

Copyright © 2022 Swoboda, Bartova, Dremel, Rabl, Laggner and Frey. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lucie Bartova, lucie.bartova@meduniwien.ac.at; Richard Frey, richard.frey@meduniwien.ac.at

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.