Skip to main content

MINI REVIEW article

Front. Psychiatry, 29 March 2022
Sec. Psychopharmacology
This article is part of the Research Topic Advances in Therapeutic Drug Monitoring of Psychiatric Subjects: Analytical Strategies and Clinical Approaches View all 8 articles

Therapeutic Drug Monitoring of Antidepressants: An Underused but Potentially Valuable Tool in Primary Care

\nDaria Piacentino
&#x;Daria Piacentino*Esperia Bianchi&#x;Esperia BianchiDomenico De Donatis&#x;Domenico De DonatisVincenzo Florio&#x;Vincenzo FlorioAndreas Conca&#x;Andreas Conca
  • Psychiatric Service of the Health District of Bozen, Bozen-Bolzano, Italy

Depressive disorders are among the most burdensome diseases globally in terms of prevalence, as well as in terms of quality of life, morbidity, and mortality. Hence, it is becoming increasingly common for primary care physicians to administer and monitor the treatment of individuals affected by depressive disorders. In this framework, Therapeutic Drug Monitoring (TDM) comes to the forefront. TDM is the measurement of specific drugs in the blood or plasma/serum, and its usefulness lies in the fact that it allows physicians to assess drug levels to personalize and optimize treatments. TDM has been used for decades to measure several classes of psychotropic drugs, such as antiepileptics and antipsychotics, but the use of this tool is still in its infancy in regard to antidepressants. In the context of primary care, TDM of antidepressant drug treatment shows promise, as it can enable primary care physicians to monitor the safety and efficacy of the treatment, leaving to secondary care, i.e., psychiatrists, the management of the more complex clinical cases.

Introduction

Depressive disorders are highly prevalent worldwide, involving individuals of all ages and significantly impairing the quality of life of the affected individuals. A 2020 systematic review reported the lifetime prevalence of major depressive disorder (MDD) to range worldwide from 2 to 21%, reaching the highest rate in Europe (1). Similar numbers were observed by a 2018 study on the prevalence of MDD in 36,309 US adults, which found that the 12-month and lifetime prevalence of DSM-5 MDD was 10.4 and 20.6%, respectively (2). In addition to the high incidence and prevalence of MDD, it is also important to underline the cumbersome burden of this disease on several aspects of life, such as morbidity and mortality (3, 4), employment, familial stability, and education (5). Remarkably, in 2017, the World Health Organization (WHO) assessment of the global burden of disease, showed depression to be among the top three leading causes of years of life lost due to disability (6).

Depressive Disorders in Primary Care

Ideally, all patients suffering from depressive symptoms should be treated via a multidisciplinary approach by their primary care physician together with a psychiatrist (7). However, mainly due to the stigma still associated with the consultation of a psychiatrist, it is estimated that up to 60% of mental health care delivery takes place in the setting of primary care services (8). A 2009 study by Mark and colleagues showed that, in the U.S., 62% of antidepressant prescriptions are given by primary care physicians (9). Indeed, primary care physicians are those in direct contact with individuals affected by MDD and other depressive disorders and play a key role not only in screening these disorders, but also in diagnosing and treating them, with the latter aspect including therapeutic monitoring. As concerns screening, the U.S. Preventive Services Task Force (USPSTF) has recently recommended that all adults, regardless of risk factors, should be screened for depression in primary care settings, given that early recognition and prompt treatment are known to decrease morbidity (10). Following diagnosis and initiation of treatment, the role of the primary care physician is to monitor the patient's clinical status and its possible changes. Nowadays, this process mainly occurs via an interview taking place at a primary care facility (11, 12). Closely related to the role of the primary care physician in monitoring the course of the disorder, is the monitoring of both treatment effectiveness and compliance. It is estimated that, in the U.S., rates of non-compliance to antidepressant drug treatment among older adults range from 29 to 40% (13). For all these reasons, it is important for primary care physicians to be able to optimize antidepressant drug treatment, as they often find themselves administering these drugs and adjusting drug dose.

What is Therapeutic Drug Monitoring (TDM)?

Therapeutic drug monitoring (TDM) is the measurement of a drug in the blood or plasma/serum of the patient, taken at regular intervals to optimally tailor the treatment to such patient, thus keeping the blood levels of the drug within a given therapeutical window (14). In research, TDM has been used since the 1960s, and its first foray into clinical practice took place in the 1970s, when TDM was used to monitor the administration of those drugs that are known to have a very narrow therapeutic window, i.e., their minimal effective concentration is very close to their minimal toxic dose. Drugs in which TDM played, and continue to play, a crucial role are, among others, digoxin (15), phenytoin, and lithium, for which the use of TDM is widespread (16). Currently, however, the usefulness of TDM is not limited to preventing drug toxicity while maintaining efficacy, but it includes other aspects of pharmacological monitoring in clinical practice, including a better understanding of the possible drug-drug interactions in patients with polytherapy (17), as well as monitoring treatment compliance (18).

Despite TDM being a useful tool available to physicians, it has some limitations. First, the timing of drug measurement must be taken into account. There are usually two acceptable timings of measurement, i.e., the peak concentration time (or zenith), which presents major intra- and inter-individual variations in the rate of absorption, and the trough concentration time (or nadir), which precedes closely the following dose (19). This makes it more complex to plan and carry out the sampling in an outpatient setting. A second issue that could play a role in the attainability of TDM in a wider clinical setting outside of research is the cost of the procedure. Assays such as ELISA, which is commonly used to measure TDM, are not inexpensive, and these costs must be considered and weighted against the clinical benefits that would be obtained by a more widespread use of TDM (20). Last, despite the usefulness of TDM, not all drugs warrant its use in clinical practice. A 1991 study by Aronson and colleagues (21) describes the main criteria that make a drug a good candidate for TDM, and these criteria are still valid nowadays:

1) difficulty in interpreting clinical evidence of therapeutic or toxic effects;

2) a good relationship between plasma drug concentration and therapeutic or toxic effect, or both;

3) a low toxic to therapeutic ratio;

4) dose does not metabolize to important active metabolites.

So far, there are several classes of drugs that are recognized as fulfilling these criteria, such as antiepileptics (22), some antibiotics and antimycotics (23), antiretrovirals (24), immunosuppressants (25), antipsychotics (26, 27) and, more recently, antidepressants (28, 29).

TDM of Antidepressants Drug Treatment in Primary Care

Antidepressant drug treatment aims to induce remission without causing adverse effects during the acute phase of the disorder, and prevent relapse or recurrence during continuation or maintenance therapy. To reach these goals, drug choice and dose must be optimized for each individual patient. TDM of antidepressant drug treatment, which assumes that clinical effects correlate better with drug blood levels than drug doses, can be helpful. Specifically, it can be helpful in primary care settings for:

1) Compliance monitoring. Due to the long course and chronic nature of antidepressant drug treatment, self-discontinuation or non-regular intake of the drug is common (30). This is partly attributable to the delayed onset of action of antidepressants, which can take weeks to months to reach their full effects, with patients initially perceiving the treatment as ineffective (31). Non-compliance may lead to suboptimal treatment outcomes. TDM provides an objective means to monitor compliance;

2) Treatment optimization. By collecting data regarding both drug dose and drug blood levels, decision-making related to antidepressant drug treatment can be optimized (32). This translates into both the reduction of side effects (33) and the avoidance of subtherapeutic concentrations, which would lead to little or no effectiveness of the drug itself (34);

3) Toxicity avoidance. Any antidepressant drug treatment should be safe. Different individuals, despite receiving the same drug dose, can achieve substantially different blood levels of the drug. For those drugs with a small therapeutic window and in presence of comorbid diseases and/or polytherapy, TDM can be useful in identifying those patients at risk of toxicity within “therapeutic doses”(35).

4) Idiosyncratic reactions documentation. In patients who experience idiosyncratic drug reactions, i.e., drug reactions that occur rarely and unpredictably, TDM can play a relevant role in measuring the blood levels of the antidepressant drug that caused the reaction and reveal whether the patient reached unusually high levels of the drug for the given dose (36).

The above-mentioned problem of cost-effectiveness of TDM in clinical practice can be even more relevant in primary care settings compared to hospital settings. In fact, the high costs of this tool may prevent its implementation. Unfortunately, this also applies to antidepressants, despite them being, as previously stated, among the most commonly prescribed psychotropic drugs in the general population (37). However, as a consensus of experts on the topic aptly put in 2005: “TDM should be limited to situations where it may be expected that the result will help to solve a therapeutic problem” (38). This argument is particularly valid in the analysis of cost-benefits. It is important to take into account not only the cost of TDM itself, but also how monitoring the drug concentration could help optimize resources, avoiding the extra costs (both time- and in money-wise) related to a prolonged process of dose titration based only on clinical response, as well as the costs of treatment due to concentration-dependent adverse effects (35). Additionally, TDM would allow for fast switching of drug class in non-responders, who, in the context of depressive disorders, make up to 40% of patients (29).

Below we briefly describe seven clinical cases of individuals with MDD who were treated with escitalopram at our hospital's outpatient clinic and monitored with TDM (28).

A Case Series Showing the Usefulness of TDM of Escitalopram at the Department of Psychiatry of Bozen, Bozen-Bolzano, Italy

Seven outpatients with DSM-5 MDD were evaluated at baseline (t0) and after 4 weeks (t1). These patients had a mean age ± standard deviation of 46.4 ± 18.1 years and 4/7 (57.1%) were women. After validation of MDD diagnosis, these patients were treated with escitalopram. At steady-state, we collected blood samples from these patients and measured plasma concentrations of escitalopram. Escitalopram is the (S)-enantiomer of the racemic selective serotonin reuptake inhibitor (SSRI) antidepressant citalopram. It is an effective and well-tolerated drug used in the treatment of MDD. In the dose range of 10–30 mg/day, it shows linear and dose-proportional pharmacokinetics. The molecule shows a high affinity for the serotonin transporter and binds to an allosteric site that increases the drug's efficacy. After oral administration, steady-state concentrations are achieved within 7–10 days. Despite intra- and inter-individual and overall pharmacokinetic variability, the therapeutic index, according to the TDM group of the Arbeitsgemeinschaft fur Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP), ranges between 15 and 80 ng/ml (26, 39).

As reported in Figure 1, three patients of our sample showed therapeutic plasma levels of escitalopram, i.e., levels within the optimal range (15–80 ng/ml). Patient 1 (female, 38 years old) had lower plasma levels than the therapeutic ones, but we did not modify the dose of escitalopram, since the clinical status was satisfactory. Patient 2 (male, 55 years old) was not compliant with the treatment and stopped taking escitalopram altogether. This explains why the plasma levels of the drug are equal to zero. Patient 3 (male, 57 years old), though having plasma levels of escitalopram within range, initially reported mild side effects (restlessness). The latter disappeared after few days of taking the drug and we did not modify the drug dose. Patient 4 (male, 79 years old) had plasma levels of escitalopram significantly above the therapeutic ones and reported severe side effects (palpitations, restlessness, and drowsiness), thus we rapidly decreased the drug dose. Patient 5 (female, 46 years old) had therapeutic plasma levels of escitalopram, showed a stable clinical status, and did not report side effects. The same applied to patient 6 (female, 30 years old). Patient 7 (female, 20 years old) had slightly lower plasma levels than the therapeutic ones and her clinical status was unsatisfactory, thus, in agreement with her, we increased the dose of escitalopram. In all seven patients, it was possible to optimize clinical status by simultaneously considering the plasma concentrations of escitalopram and the clinical data. In five of the seven patients, the dose of escitalopram was modified based on TDM, by monitoring the plasma concentrations of the drug.

FIGURE 1
www.frontiersin.org

Figure 1. Plasma levels of escitalopram in our seven patients.

Conclusions

TDM of antidepressant drug treatment is an underused tool, given its ability to optimize treatment of individuals affected by major depressive disorder or other depressive disorders, as well as its usefulness to monitor and potentially improve treatment effectiveness and compliance. This is especially true in primary care, where prescription, monitoring, and adjustment of antidepressant drug treatment often take place. It is our belief that the use of a laboratory tool such as TDM, together with the assessment of the overall clinical status of the patient being administered the antidepressant drug treatment, would facilitate decision-making in primary care settings.

Author Contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Conflict of Interest

The 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.

References

1. Gutiérrez-Rojas L, Porras-Segovia A, Dunne H, Andrade-González N, Cervilla JA. Prevalence and correlates of major depressive disorder: a systematic review. Braz J Psychiatry. (2020) 42:657–72. doi: 10.1590/1516-4446-2020-0650

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Hasin DS, Sarvet AL, Meyers JL, Saha TD, Ruan WJ, Stohl M, et al. Epidemiology of adult DSM-5 major depressive disorder and its specifiers in the United States. JAMA Psychiatry. (2018) 75:336–46. doi: 10.1001/jamapsychiatry.2017.4602

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Teply RM, Packard KA, White ND, Hilleman DE, DiNicolantonio JJ. Treatment of depression in patients with concomitant cardiac disease. Prog Cardiovasc Dis. (2016) 58:514–28. doi: 10.1016/j.pcad.2015.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Ouellette DR, Lavoie KL. Recognition, diagnosis, and treatment of cognitive and psychiatric disorders in patients with COPD. Int J Chron Obstruct Pulmon Dis. (2017) 12:639–50. doi: 10.2147/COPD.S123994

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Kessler RC. The costs of depression. Psychiatr Clin North Am. (2012) 35:1–14. doi: 10.1016/j.psc.2011.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

6. GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the global burden of disease study 2017. Lancet. (2018) 392:1789–858. doi: 10.1016/S0140-6736(18)32279-7

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Park LT, Zarate CA Jr. Depression in the primary care setting. N Engl J Med. (2019) 380:559–68. doi: 10.1056/NEJMcp1712493

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Frank RG, Huskamp HA, Pincus HA. Aligning incentives in the treatment of depression in primary care with evidence-based practice. Psychiatr Serv. (2003) 54:682–7. doi: 10.1176/appi.ps.54.5.682

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Mark TL, Levit KR, Buck JA. Datapoints: psychotropic drug prescriptions by medical specialty. Psychiatr Serv. (2009) 60:1167. doi: 10.1176/ps.2009.60.9.1167

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Siu AL; US Preventive Services Task Force (USPSTF), Bibbins-Domingo K, Grossman DC, Baumann LC, Davidson KW, Ebell M, et al. Screening for depression in adults: US preventive services task force recommendation statement. JAMA. (2016) 315:380–7. doi: 10.1001/jama.2015.18392

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Davidson JR. Major depressive disorder treatment guidelines in America and Europe. J Clin Psychiatry. (2010) 71 (Suppl. E1):e04. doi: 10.4088/JCP.9058se1c.04gry

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Hetrick S, Simmons M, Sanci LA, Gunn J. Primary care monitoring of depressive symptoms in young people. Aust Fam Physician. (2014) 43:147–50.

PubMed Abstract | Google Scholar

13. Sirey JA, Banerjee S, Marino P, Bruce ML, Halkett A, Turnwald M, et al. Adherence to depression treatment in primary care: a randomized clinical trial. JAMA Psychiatry. (2017) 74:1129–35. doi: 10.1001/jamapsychiatry.2017.3047

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Kang JS, Lee MH. Overview of therapeutic drug monitoring. Korean J Intern Med. (2009) 24:1–10. doi: 10.3904/kjim.2009.24.1.1

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Duhme DW, Greenblatt DJ, Koch-Weser J. Reduction of digoxin toxicity associated with measurement of serum levels. A report from the Boston collaborative drug surveillance program. Ann Intern Med. (1974) 80:516–9. doi: 10.7326/0003-4819-80-4-516

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ooba N, Tsutsumi D, Kobayashi N, Hidaka S, Hayashi H, Obara T, et al. Prevalence of therapeutic drug monitoring for lithium and the impact of regulatory warnings: analysis using japanese claims database. Ther Drug Monit. (2018) 40:252–6. doi: 10.1097/FTD.0000000000000483

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Wilting I, Movig KL, Moolenaar M, Hekster YA, Brouwers JR, Heerdink ER, et al. Drug-drug interactions as a determinant of elevated lithium serum levels in daily clinical practice. Bipolar Disord. (2005) 7:274–80. doi: 10.1111/j.1399-5618.2005.00199.x

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Otero MJ, Martin A, Barrueco M, Garcia MJ, Dominguez-Gil A. TDM of theophylline–compliance evaluation. J Clin Pharm Ther. (1988) 13:273–80. doi: 10.1111/j.1365-2710.1988.tb00193.x

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Fiaturi N, Greenblatt DJ. Therapeutic drug monitoring of antidepressants. Handb Exp Pharmacol. (2019) 250:115–33. doi: 10.1007/164_2018_161

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Schumacher GE, Barr JT. Economic and outcome issues for therapeutic drug monitoring in medicine. Ther Drug Monit. (1998) 20:539–42. doi: 10.1097/00007691-199810000-00016

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Aronson JK, Hardman M. ABC of monitoring drug therapy. Measuring plasma drug concentrations. BMJ. (1992) 305:1078–80. doi: 10.1136/bmj.305.6861.1078

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Patsalos PN, Spencer EP, Berry DJ. Therapeutic drug monitoring of antiepileptic drugs in epilepsy: a 2018 update. Ther Drug Monit. (2018) 40:526–48. doi: 10.1097/FTD.0000000000000546

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Abdul-Aziz MH, Alffenaar JC, Bassetti M, Bracht H, Dimopoulos G, Marriott D, et al. Antimicrobial therapeutic drug monitoring in critically ill adult patients: a position paper. Intensive Care Med. (2020) 46:1127–53. doi: 10.1007/s00134-020-06050-1

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Punyawudho B, Singkham N, Thammajaruk N, Dalodom T, Kerr SJ, Burger DM, et al. Therapeutic drug monitoring of antiretroviral drugs in HIV-infected patients. Expert Rev Clin Pharmacol. (2016) 9:1583–95. doi: 10.1080/17512433.2016.1235972

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Zhang Y, Zhang R. Recent advances in analytical methods for the therapeutic drug monitoring of immunosuppressive drugs. Drug Test Anal. (2018) 10:81–94. doi: 10.1002/dta.2290

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Schoretsanitis G, Kane JM, Correll CU, Marder SR, Citrome L, Newcomer JW, et al. Blood levels to optimize antipsychotic treatment in clinical practice: a joint consensus statement of the American society of clinical psychopharmacology and the therapeutic drug monitoring task force of the arbeitsgemeinschaft für neuropsychopharmakologie und pharmakopsychiatrie. J Clin Psychiatry. (2020) 81:19cs13169. doi: 10.4088/JCP.19cs13169

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Schoretsanitis G, Baumann P, Conca A, Dietmaier O, Giupponi G, Gründer G, et al. Therapeutic drug monitoring of long-acting injectable antipsychotic drugs. Ther Drug Monit. (2021) 43:79–102. doi: 10.1097/FTD.0000000000000830

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Florio V, Porcelli S, Saria A, Serretti A, Conca A. Escitalopram plasma levels and antidepressant response. Eur Neuropsychopharmacol. (2017) 27:940–4. doi: 10.1016/j.euroneuro.2017.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Wyska E. Pharmacokinetic considerations for current state-of-the-art antidepressants. Expert Opin Drug Metab Toxicol. (2019) 15:831–47. doi: 10.1080/17425255.2019.1669560

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Cantrell CR, Eaddy MT, Shah MB, Regan TS, Sokol MC. Methods for evaluating patient adherence to antidepressant therapy: a real-world comparison of adherence and economic outcomes. Med Care. (2006) 44:300–3. doi: 10.1097/01.mlr.0000204287.82701.9b

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Mago R, Fagiolini A, Weiller E, Weiss C. Understanding the emotions of patients with inadequate response to antidepressant treatments: results of an international online survey in patients with major depressive disorder. BMC Psychiatry. (2018) 18:33. doi: 10.1186/s12888-018-1625-y

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Mandrioli R, Protti M, Mercolini L. New-Generation, Non-SSRI antidepressants: therapeutic drug monitoring and pharmacological interactions. Part 1: SNRIs, SMSs, SARIs. Curr Med Chem. (2018) 25:772–92. doi: 10.2174/0929867324666170712165042

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Wille SM, Cooreman SG, Neels HM, Lambert WE. Relevant issues in the monitoring and the toxicology of antidepressants. Crit Rev Clin Lab Sci. (2008) 45:25–89. doi: 10.1080/10408360701713112

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Stamm TJ, Becker D, Sondergeld LM, Wiethoff K, Hiemke C, O'Malley G, et al. Prediction of antidepressant response to venlafaxine by a combination of early response assessment and therapeutic drug monitoring. Pharmacopsychiatry. (2014) 47:174–9. doi: 10.1055/s-0034-1383565

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Burke MJ, Preskorn SH. Therapeutic drug monitoring of antidepressants: cost implications and relevance to clinical practice. Clin Pharmacokinet. (1999) 37:147–65. doi: 10.2165/00003088-199937020-00004

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Ostad Haji E, Hiemke C, Pfuhlmann B. Therapeutic drug monitoring for antidepressant drug treatment. Curr Pharm Des. (2012) 18:5818–27. doi: 10.2174/138161212803523699

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Iacobucci G. NHS prescribed record number of antidepressants last year. BMJ. (2019) 364:l1508. doi: 10.1136/bmj.l1508

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Baumann P, Ulrich S, Eckermann G, Gerlach M, Kuss HJ, Laux G, et al. The AGNP-TDM expert group consensus guidelines: focus on therapeutic monitoring of antidepressants. Dialogues Clin Neurosci. (2005) 7:231–47. doi: 10.1055/s-2003-825268

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Hiemke C, Bergemann N, Clement HW, Conca A, Deckert J, Domschke K, et al. Consensus guidelines for therapeutic drug monitoring in neuropsychopharmacology: update 2017. Pharmacopsychiatry. (2018) 51:9–62. doi: 10.1055/s-0043-116492

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: psychopharmacology, therapeutic drug monitoring, depression, antidepressants, primary care

Citation: Piacentino D, Bianchi E, De Donatis D, Florio V and Conca A (2022) Therapeutic Drug Monitoring of Antidepressants: An Underused but Potentially Valuable Tool in Primary Care. Front. Psychiatry 13:867840. doi: 10.3389/fpsyt.2022.867840

Received: 01 February 2022; Accepted: 07 March 2022;
Published: 29 March 2022.

Edited by:

Laura Mercolini, University of Bologna, Italy

Reviewed by:

Lucie Bartova, Medical University of Vienna, Austria

Copyright © 2022 Piacentino, Bianchi, De Donatis, Florio and Conca. 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: Daria Piacentino, ZGFyaWEucGlhY2VudGlubyYjeDAwMDQwO25paC5nb3Y=

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.