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SYSTEMATIC REVIEW article

Front. Pharmacol., 17 December 2020
Sec. Drugs Outcomes Research and Policies

Key Clinical Interest Outcomes of Pharmaceutical Administration for Veterans With Post-Traumatic Stress Disorder Based on Pooled Evidences of 36 Randomised Controlled Trials With 2,331 Adults

Yi-Fan Zhao&#x;Yi-Fan Zhao1Zhen-Dong Huang&#x;Zhen-Dong Huang2Hui-Yun Gu&#x;Hui-Yun Gu3Guang-Ling Guo
Guang-Ling Guo4*Rui-Xia Yuan
Rui-Xia Yuan5*Chao Zhang
Chao Zhang1*
  • 1Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China
  • 2Southern Medical University, Guangzhou, China
  • 3Department of Spine and Orthopedic Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
  • 4Center of Women’s Health Sciences, Taihe Hospital, Hubei University of Medicine, Shiyan, China
  • 5Clinical Big Data Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

Background: The effects of drug treatment on veterans, who have a high risk of post-traumatic stress disorder (PTSD), are not clear, and the guidelines are different from the recommendations of the recent meta-analysis. Our goal was to find the efficacy and frequencies of complications of drugs that can treat PTSD in veterans.

Method: We searched Ovid MEDLINE, Ovid Embase, The Cochrane Library and Web of Science until January 1, 2020. The outcomes were designed as the change of PTSD total scale, subsymptom score, response rate, frequencies of complications outcomes, and acceptability.

Results: We included a total of 36 randomised controlled trials with a total of 2,331 adults. In terms of overall effect, drug treatment is more effective than placebo in change in total PTSD symptoms scale (SMD = −0.24, 95% CI [−0.42, −0.06]) and response (RR = 1.66, 95% CI [1.01, 2.72]). However, in terms of frequencies of complications, drugs generally had a higher withdrawal rate (RR = 1.02, 95% CI [0.86, 1.20]) and a higher frequencies of complications (RR = 1.72, 95% CI [1.20, 2.47]) than placebo. Risperidone showed a good curative effect in change in total PTSD symptoms scale (SMD = −0.22, 95% CI [−0.43, 0.00]) and acceptability (RR = 1.31, 95% CI [0.82, 2.59]). The drugs acting on 5−HT receptors, our results showed that symptoms of hyper−arousal (SMD = −0.54, 95% CI [−0.86, −0.21]), symptoms of re−experiencing (SMD = −0.62, 95% CI [−0.86, −0.39]) and symptoms of avoidance (SMD = −0.53, 95% CI [− 0.77,−0.3]), The drugs acting on dopamine receptors, our results showed that symptoms of re−experiencing (SMD = −0.35, 95% CI [−0.55, −0.16]) and the drugs acting on α2 receptor has a significant effect on reducing total PTSD symptoms scale (SMD = −0.34, 95% CI [−0.62, −0.06]).

Conclusion: Drug therapy can effectively treat PTSD, but its frequencies of complications should be considered. Different from the guidelines for adult PTSD, this study supports atypical antipsychotics, selective serotonin reuptake inhibitors and receptors that act on 5-HT and dopamine for the treatment of PTSD in veterans. Based on evidence among these drugs, the risperidone is the most effective for veterans, otherwise, sertraline is used as an alternative.

Introduction

Post-traumatic stress disorder (PTSD) is a type of the mental disorder that is difficult to treat at present. This is a common mental health consequence of exposure to extreme, life-threatening stress/serious injury, it is characterized by the presence of the following 4 clusters of symptoms according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria: re-experiencing symptoms, persistent avoidance, negative alterations in cognition and mood and hyperarousal (APA, 2013). It may lead to severe depression or other mental illness, and may even lead to physiological complications, such as diabetes and cardiovascular disease (Koenen et al., 2017; Scherrer et al., 2020). The sick population’s years of life lost (YLLs) and disability-adjusted life-years (DALYs) have a great influence (Murray et al., 2013). However, studies had shown that the cost of treating PTSD may be as high as tens of thousands of dollars (Ivanova et al., 2011). More than 500,000 American veterans spend billions of dollars seeking treatment (IOM, 2014), and the treatment cycle is long. Therefore, as a kind of disease that does great harm to people and is expensive to treat, an effective treatment method for PTSD has been a topic of concern for many scholars.

The treatment of PTSD mainly includes drug therapy, psychotherapy and adjuvant therapy. Related studies (Charney et al., 1993) had showed that PTSD has long been associated with monoamine neurotransmitters. Therefore, drug treatment is possible. American Psychological Association (APA) and National Institute for Health and Care Excellence (NICE) guidelines (Wynn, 2015; Association, 2017) and some studies have indicated that psychotherapy is effective (Gerger et al., 2014; Belsher et al., 2019), but the effect of drug treatment is not satisfactory. The Food and Drug Administration (FDA) of the United States currently only approves sertraline and paroxetine for the treatment of PTSD, while APA guidelines recommend fluoxetine, paroxetine, sertraline and venlafaxine (Association, 2017). According to the NICE guidelines, only paroxetine, mirtazapine, amitriptyline and phenylethyl were significantly superior to placebo (Health, 2005). However, a study on drugs in the treatment of PTSD suggest that drugs, such as selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs), can be used as first-line treatment (Koirala et al., 2017). Research is developing new drugs, such as oxytocin (Flanagan et al., 2019). Another study also suggested that the current results of drug treatment are uncertain because the results of clinical studies are contradictory (Petrakis & Simpson, 2017). At present, drug treatment is very controversial, and in terms of the prevalence of PTSD, the prevalence of PTSD among civilians is 5.7%, while that of veterans is estimated at 30.9% (Dohrenwend et al., 2006). Related studies (Richardson et al., 2010) had showed that the prevalence of PTSD in veterans can be as high as 17% in the first year of deployment. PTSD symptoms caused by combat-related events in veterans are typically more severe than those experienced by non-veterans, and treatment efficacy was less than that in non-veterans (Goodson et al., 2011). At present, there are no relevant studies focusing on veterans, we carried out meta-analysis for veterans, who are susceptible to PTSD. In this meta-analysis, we not only evaluated the effectiveness and frequencies of complications of various drug interventions for veterans, but also analyzed the gender differences and co-disease differences among veterans, providing the latest evidence for people in urgent need of effective treatment.

Method

Search Strategy

All studies had obtained by searching the Ovid Medline, EMBase, The Cochrane Library and ISI Web of Science for articles that were published until January 1, 2020. Two reviewers (YFZ and ZDH) independently assessed the abstracts and potentially eligible articles identified during literature selection. Discrepancies were resolved in discussions. If necessary, a final reviewer (CZ) was involved when faced with a disagreement. Detailed search strategies are shown in Supplementary Method 1. The guideline from the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement (McInnes et al., 2018) was employed for this meta-analysis.

Study Selection

Two reviewers (YFZ and ZDH) independently assessed abstracts and potentially eligible articles identified during literature selection. Discrepancies were resolved by discussion. If necessary, a final reviewer (CZ) was involved when faced with disagreement.

The following inclusion criteria were used: 1) Patients: the patients were diagnosed as PTSD by DSM-IV, DSM-III and DSM-IV-TR (APA, 2013); all patients had combat-related PTSD, and more than 95% of the total population in the study were veterans. Patients with comorbid psychosis were not excluded (including alcohol use disorder, material dependence, etc.); 2) Intervention: the main research intervention includes drugs, regardless of the mode of administration; 3) Control: single active control drug or placebo; 4) Outcome: contains at least one interesting outcome, including change in total PTSD symptoms scale, response, frequencies of complications, acceptability, avoidance, hyper-arousal and re-experiencing. Change in total PTSD symptoms scale, response, frequencies of complications and acceptability were chosen as the primary outcomes. Subsymptoms, including avoidance, hyper-arousal and re-experiencing, were chosen as the secondary outcomes; 5) Study design: randomised controlled trial (RCT).

The following exclusion criteria were used: 1) There is no data in the original research or the data cannot be converted. 2) Trials involving recurrent population studies or interventions to prevent PTSD in advance. 3) Duplicate publication. 4) Intervention differs from control by two or more drugs (excluding premedication that had no effect on outcome). 5) Psychotherapy is included in the intervention.

Data Extraction and Quality Assessment

Information and data were extracted by two independent authors (YFZ and ZDH), proofreading and conflict resolution was handled by a final investigator (CZ). With regard to the selection of scales for symptom relief in PTSD, the priority scale evaluated by clinicians is a self-rated scale. The Clinically Administered PTSD Scale (CAPS) score is the gold standard scale evaluated by clinicians (Weathers et al., 2018). For self-rated PTSD, the Davidson Trauma Scale was used as the gold standard (Zuromski et al., 2019). If the gold standard scale is not used in the study, other scales are used. We chose the difference before and after change in value for comparison; if not, we used the final measured value (Higgins & Green, 2011). If a study does not report the data at the end of the study, then we will choose the most recent data after the end of the study. All the outcome data were analyzed by intention-to-treat (ITT) analysis as far as possible (Gupta, 2011), to ensure the accuracy of the data.

On the quality evaluation of included studies, two reviewers (YFZ and ZDH) independently assessed the quality of the included studies based on the risk of bias of Cochrane’s handbook (Higgins & Green, 2011).

Statistical Analysis

When analyzing the difference of the binary data, risk ratios (RR) with 95% confidence interval (CI) is used as the effect amount. When analyzing differences in continuous data, we used standardized mean difference (SMD) with 95% CI (Friedrich et al., 2011). If the SD value was not reported directly in the study, we will make appropriate statistical conversion according to the Cochrane’s manual to obtain the value (Higgins & Green, 2011).

With regard to the heterogeneity of the study, we used I2 to measure it (Higgins et al., 2003). The random effect model was used when I2 > 40% (Lipsey, 2001), and the fixed effect model was used when I2 ≤ 40%. The guidelines (Wynn, 2015; Association, 2017) and various studies (Koirala et al., 2017; Flanagan et al., 2019) have different views on drugs to treat PTSD. This may be because there are many differences in PTSD patients, including gender differences. To assessed the potential differences from confounding factors, we divided participants into the following subgroups, including the previous medication, gender (Broidy et al., 2015), acting receptor, service battlefield (Kang et al., 2003; Hoge et al., 2006) and whether they had comorbid psychosis other than PTSD. To evaluate the effectiveness of specific drugs, we analyzed the use of drugs recommended (risperidone and sertraline) in the previous guidelines. Funnel plots were used to determine publication bias, and at least 10 studies were involved in each outcome to ensure accuracy (Duval & Tweedie, 2000). The R 3.5.1 software was employed for all data statistics.

Result

Search Results

Ovid Medline, Ovid EMBASE, The Cochrane Library and Web of Science were systematically searched until January 1, 2020. The search resulted in 6,719 articles. After initial evaluation, 1,036 studies were removed for being duplicates, 5,633 for being irrelevant (as determined by reading the title and abstracts) and 36 studies for reasons determined by reading the full text.ccc Figure 1 shows the work flow for the selection of studies.

FIGURE 1
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FIGURE 1. Search strategy.

Study Characteristics

Characteristics of 2,331 adult patients from published double-blind, parallel 36 RCTs (Frank et al., 1988; Davidson et al., 1990; Kosten et al., 1991; Hertzberg et al., 2000; Stein et al., 2002; Zohar et al., 2002; Hamner et al., 2003; Monnelly et al., 2003; Akuchekian & Amanat, 2004; Chung et al., 2004; Davis et al., 2004; Bartzokis et al., 2005; Neylan et al., 2006; Friedman et al., 2007; Lindley et al., 2007; Raskind et al., 2007; Davis et al., 2008a; Davis et al., 2008b; Hamner et al., 2009; Krystal et al., 2011; Panahi et al., 2011; Germain et al., 2012; Litz et al., 2012; Baniasadi et al., 2014; Batki et al., 2014; Manteghi et al., 2014; Rothbaum et al., 2014; Naylor et al., 2015; Back et al., 2016; Petrakis et al., 2016; Rodgman et al., 2016; Villarreal et al., 2016; Ramaswamy et al., 2017; Rezaei Ardani et al., 2017; Surís et al., 2017; Raskind et al., 2018) were described in the study. Among them, three studies (Frank et al., 1988; Kosten et al., 1991; Rothbaum et al., 2014) reported active-comparator experiments. Our research involves a variety of drug types, including atypical antipsychotics (AASs) (Stein et al., 2002; Monnelly et al., 2003; Bartzokis et al., 2005; Hamner et al., 2009; Krystal et al., 2011; Naylor et al., 2015; Villarreal et al., 2016), corticosteroids (Surís et al., 2017), alpha blockers (Raskind et al., 2007; Germain et al., 2012; Petrakis et al., 2016; Rodgman et al., 2016; Raskind et al., 2018), anticonvulsants (Hamner et al., 2003; Akuchekian & Amanat, 2004; Lindley et al., 2007; Davis et al., 2008a; Batki et al., 2014), central muscle relaxants (Manteghi et al., 2014), D-cycloserine (Litz et al., 2012; Rothbaum et al., 2014), N-acetylcysteine (Back et al., 2016), γ-aminobutyric acid (Baniasadi et al., 2014), reversible cholinesterase inhibitor (Rezaei Ardani et al., 2017), serotonin antagonist and reuptake inhibitors (SARIs) (Davis et al., 2004); SSRIs (Hertzberg et al., 2000; Zohar et al., 2002; Friedman et al., 2007; Panahi et al., 2011; Ramaswamy et al., 2017), tricyclic antidepressants (TCAs) (Frank et al., 1988; Davidson et al., 1990; Kosten et al., 1991), α2 receptor agonist (Chung et al., 2004; Neylan et al., 2006; Davis et al., 2008b), pregabalin (Baniasadi et al., 2014) and monoamine oxidase inhibitors (MAOIs) (Frank et al., 1988; Kosten et al., 1991). All patients were diagnosed as PTSD by different versions of the DSM scale. Only one study (Davis et al., 2004) included one civilian, and the other studies exclusively included veterans. In 15 studies, there was more than one intervention drug, or patients were likely to use other drugs. The population included in 15 studies was entirely comprised of males. Thirty studies used the clinician-assessed scale as the main outcome, and 26 of them used the CAPS scale. Summary estimates from the meta-analyses are presented in Table 1.

TABLE 1
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TABLE 1. Study Characteristics of including studies.

Quality Assessment

Thirteen studies showed that the risk of random bias was low, and nine studies indicated that opaque envelopes or placebos with the same appearance as drugs were used in distribution. All studies indicated the use of double blind to carry out the experiment. Thirty-four studies have specific descriptions of patients who drop out. The details and overall risks of bias in the study are shown in Supplementary Figure 1.

Outcome for comparison with placebo.

Efficacy

Change in Total Post-Traumatic Stress Disorder Symptom Scale

In comparison with placebo, drug therapy showed a certain therapeutic effect (SMD = −0.24, 95% CI [−0.42, −0.06], I2 = 74%) (Figure 2). Among them, the types of drugs, including AASs (SMD = −0.29, 95% CI [−0.48, −0.11], I2 = 15%) and central muscle relaxants (SMD = −0.81, 95% CI [−1.45, −0.16], I2 = NA), had significant therapeutic effects, but other types of drugs, including alpha blockers, anticonvulsants, corticosteroids, D-Cycloserine, γ-aminobutyric acid (GABA) agonists, MAOIs, N-acetylcysteine, reversible cholinesterase inhibitor, SARIS, serotonin modulators and stimulators (SMSs), SSRIs, TCAs and α2A receptor agonists, had not statistically significant (Table 2).

FIGURE 2
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FIGURE 2. Comparison of active drug compared with placebo for the change in total PTSD symptoms scale.

TABLE 2
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TABLE 2. Comparison of active drug compared with placebo for primary outcomes.

Subsymptoms

Avoidance

In comparison with placebo, drug therapy has a significant effect on the improvement of avoidance (SMD = −0.26, 95% CI [−0.45, −0.07], I2 = 52%). Among them, the types of drugs, including: MAOIs (SMD = −0.67, 95% CI [−1.13, −0.22], I2 = 0%) and SSRIs (SMD = −0.67, 95% CI [−1.00, −0.34], I2 = NA) had significant therapeutic effects. Other types of drugs, including: AASs, alpha blockers, anticonvulsants, N-acetylcysteine, reversible cholinesterase inhibitor, SARIs, α2A receptor agonists and TCAs had no statistical significance (Supplementary Table 1).

Hyper-Arousal

In comparison with placebo, drug therapy has a significant effect on the improvement of hyper−arousal (SMD = −0.31, 95% CI [−0.46, −0.16], I2 = 35%). Among them, SSRIs (SMD = −0.72, 95% CI [−1.05, −0.39], I2 = 0%) had significant therapeutic effects. Other types of drugs, including AASs, alpha blockers, anticonvulsants, N-acetylcysteine, reversible cholinesterase inhibitor, SARIs and α2A receptor agonists had no statistically significant results (Supplementary Table 1).

Re-experiencing

In comparison with placebo, drug therapy has a significant effect on the improvement of re−experiencing (SMD = −0.30, 95% CI [−0.42, −0.18], I2 = 39%). Among them, AASs (SMD = −0.38, 95% CI [−0.57, −0.19], I2 = 0%) and MAOIs (SMD = −0.83, 95% CI [−1.37, −0.37], I2 = 0%) had significant therapeutic effects. Other types of drugs, including alpha blockers, anticonvulsants, N-Acetylcysteine, reversible cholinesterase inhibitors, SARIs, SSRIs, TCAs and α2A receptor agonists had no statistically significant results (Supplementary Table 1).

Response

Patients who received drug treatment had higher response rates than placebo (RR = 1.66, 95% CI [1.01, 2.72], I2 = 59%) (Figure 3). Alpha blockers (RR = 6.00, 95% CI [1.54, 23.44], I2 = NA), MAOI (RR = 2.46, 95% CI [1.10, 5.51], I2 = NA) and TCAs (RR = 2.59, 95% CI [1.35, 4.98], I2 = 0%) showed a higher response rate. Other types of drugs, including AASs, SARIs and SSRIs, had no statistical significance in Table 2.

FIGURE 3
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FIGURE 3. Comparison of active drug compared with placebo for the response.

Outcomes for Active Drug Compared with Active Comparators

In comparison with other drugs, α2 receptor agonist (mirtazapine) contrast SSRIs (sertraline) from (Chung et al., 2004) change in total PTSD symptoms scale: (SMD = −0.57, 95% CI [−0.97, 0.17], I2 = NA), acceptability: (RR = 1.12, 95% CI [0.41, 3.10], I2 = NA), response: (RR = 1.04, 95% CI [0.82, 1.32], I2 = NA), frequencies of complications: (RR = 1.25, 95% CI [0.60, 2.58], I2 = NA). D−Cycloserine contrast GABA agonists change in total PTSD symptoms scale: (alprazolam) from (Rothbaum et al., 2014) (SMD = −0.17, 95% CI [−0.56, 0.21], I2 = NA), acceptability: (RR = 0.94, 95% CI [0.02, 46.68], I2 = NA). TCAs (imipramine) contrast MAOIs (phenelzine) from (Frank et al., 1988; Kosten et al., 1991) change in total PTSD symptoms scale: (SMD = 0.17, 95% CI [−0.33, 0.66], I2 = 0%), frequencies of complications: (RR = 0.30, 95% CI [0.04, 2.48], I2 = NA), acceptability: (RR = 0.45, 95% CI [0.19, 1.09], I2 = 0%) in Table 3.

TABLE 3
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TABLE 3. Comparison between active drugs for primary outcomes.

Frequencies of Complications

In comparison with placebo, there are more complications caused by drug treatment. (RR = 1.83, 95% CI [1.29, 2.60], I2 = 0%) in Figure 4. All types of drugs showed no positive effect compared to placebo. Among them, anticonvulsants (RR = 2.62, 95% CI [1.13, 6.09], I2 = 0%) showed a higher risk of complications. Other types of drugs, including AASs, alpha blockers, MAOI, N-acetylcysteine, reversible cholinesterase inhibitor, SARIs, SMSs, SSRIs, TCAs and α2A receptor agonists showed no statistical significance compared with placebo in Table 2.

FIGURE 4
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FIGURE 4. Comparison of active drug compared with placebo for the frequencies of complications.

Acceptability

In comparison with placebo, more people were withdrawn from the study due to drug treatment, but it was not statistically significant (RR = 1.04, 95% CI [0.89, 1.23], I2 = 0%) in Figure 5. Only one drug type showed a lower withdrawal rate than a placebo: MAOIs (RR = 0.36, 95% CI [0.16, 0.85], I2 = 0%), and other types of drugs, including AASs, alpha blockers, anticonvulsant, central muscle relaxants, corticosteroid, D-Cycloserine, GABA agonists, N-acetylcysteine, reversible cholinesterase inhibitors, SMSs, SARIs, SSRIs, TCAs and α2A receptor agonists had no statistical significance in Table 2.

FIGURE 5
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FIGURE 5. Comparison of active drug compared with placebo for the acceptability.

Stratified Analyses

The Efficacy of Drugs in the Treatment of Patients with Comorbidities

For stratified analyses with comorbidity in comparison with placebo, the outcomes, including change in total PTSD symptom scale with comorbidity (SMD = −0.16, 95% CI [−0.29, −0.04], I2 = 29%) and symptoms of re−experiencing (SMD = −0.25, 95% CI [−0.43, −0.07], I2 = 27%), had a statistical significance, but other outcomes, including symptoms of hyper-arousal, symptoms of avoidance, acceptability, response and frequencies of complications, had not statistical significance in Supplementary Table 2.

For the patients without comorbidity in comparison with placebo, symptoms of avoidance (SMD = −0.31, 95% CI [−0.54, −0.08], I2 = 53%), symptoms of hyper−arousal (SMD = −0.31, 95% CI [−0.49, −0.14], I2 = 39%), symptoms of re−experiencing (SMD = −0.36, 95% CI [−0.52, −0.20], I2 = 39%) and frequencies of complications (RR = 1.68, 95% CI [1.11, 2.56], I2 = 0%), had a statistical significance, other outcomes, including change in total PTSD symptom scale, acceptability and response, had no statistical significance in Supplementary Table 2.

Effect of Previous Treatment on Drug Treatment

Aim at patients with previous medication in comparison with placebo, Supplementary Table 3 showed these outcomes, including change in total PTSD symptom scale (SMD = −0.05, 95% CI [−0.35, 0.25], I2 = 74%), response (RR = 4.86, 95% CI [1.58, 14.99], I2 = 0%) and frequencies of complications (RR = 2.59, 95% CI [1.26, 5.33], I2 = 0%), were statistically different, but other outcomes, including symptoms of avoidance, symptoms of hyper-arousal, symptoms of re-experiencing and acceptability, had no statistical significance in Supplementary Table 3.

Aim at patients without previous medication in comparison with placebo, Supplementary Table 3 showed these outcomes, including change in total PTSD symptom scale (SMD = −0.32, 95% CI [−0.53, −0.12], I2 = 72%), symptoms of avoidance (SMD = −0.34, 95% CI [−0.54, −0.13], I2 = 45%), symptoms of hyper−arousal (SMD = −0.46, 95% CI [−0.68, −0.25], I2 = 23%), symptoms of re−experiencing (SMD = −0.39, 95% CI [−0.53, −0.25], I2 = 34%) and frequencies of complications (RR = 1.48, 95% CI [1.03, 2.13], I2 = 0%), were statistically different, but other outcomes, including acceptability and response, had no statistical significance.

Gender

For males veterans, Supplementary Table 4 demonstrated that the outcomes, including symptoms of avoidance (SMD = −0.52, 95% CI [−0.78, −0.25], I2 = 0%), symptoms of hyper−arousal (SMD = −0.76, 95% CI [−1.06, −0.46], I2 = 0%) and symptoms of re−experiencing (SMD = −0.53, 95% CI [−0.77, −0.28], I2 = 0%), had a statistically different. However, the other outcomes, including change in total PTSD symptom scale, acceptability, response and frequencies of complications, had no statistically different. No studies had been specialized reported on female veterans.

Battlefield

In Operation Enduring Freedom and Operation Iraqi Freedom (OEF&OIF), our result in Supplementary Table 5 showed that the outcomes, including symptoms of avoidance (SMD = −0.76, 95% CI [−1.15, −0.37], I2 = 0%), symptoms of hyper−arousal (SMD = −0.83, 95% CI [−1.22, −0.44], I2 = 0%) and symptoms of re−experiencing (SMD = −0.56, 95% CI [−1.02, −0.10], I2 = 0%), were statistically different, but other outcomes, including change in total PTSD symptoms scale, acceptability and frequencies of complications had not.

In vietnam war, our result in Supplementary Table 5 showed that the outcomes, including symptoms of avoidance (SMD = −0.31, 95% CI [−0.59, −0.04], I2 = 30%) and symptoms of re−experiencing (SMD = −0.48, 95%CI [−0.77, −0.20], I2 = 18%), were statistically different, but other outcomes, including change in total PTSD symptoms scale, symptoms of hyper-arousal, acceptability, response and frequencies of complications, had no statistically different.

Different Receptor

Among the drugs acting on 5-HT receptors, our results showed that symptoms of hyper-arousal (SMD = −0.54, 95% CI [−0.86, −0.21], I2 = 0%), symptoms of re−experiencing (SMD = −0.62, 95% CI [−0.86, −0.39], I2 = 24%) and symptoms of avoidance (SMD = −0.53, 95% CI [− 0.77, −0.3], I2 = 0%), were statistically different, but other outcomes, including change in total PTSD symptoms scale, response, acceptability and frequencies of complications, had no statistically different.

The drugs acting on GABA receptor showed higher complication rate than placebo (RR = 2.64, 95% CI [1.05, 6.65], I2 = 0%). The drugs acting on dopamine receptors, our results showed that symptoms of re−experiencing (SMD = −0.35, 95% CI [−0.55, −0.16], I2 = 30%) was statistically different. The drugs acting on α1 receptor showed higher response rate than placebo (RR = 6, 95% CI [1.54, 23.44], I2 = NA). The drugs acting on α2 receptor has a significant effect on reducing total PTSD symptoms scale (SMD = −0.34, 95% CI [−0.62, −0.06], I2 = 31%). All the results of drugs acting on other receptors were not statistically significant in Supplementary Tables 6,7.

Publication Bias

To analyze whether there is publication bias, we made a funnel chart of the outcomes of more than 10 studies (Supplementary Figure 2A-G).

Discussion

A total of 36 RCT patients with 2,331 patients were included in this study to evaluate the efficacy of drugs as a whole and various types of drugs in the treatment of veterans. This result showed that three major categories of drugs, including AAS, central muscle relaxant, phenelzine, were effective for veterans with PTSD symptoms in which the risperidone and sertraline showed more effective.

In terms of the comparative efficacy of drugs and placebo, the overall scale effect showed that drug treatment was more effective. This is similar to the recent meta-analysis of adult PTSD (Hoskins et al., 2015; Puetz et al., 2015). Among the many drugs, only AAS, central muscle relaxant and phenelzine are effective. There was no significant difference between other kinds of drugs, and there was only one study on relaxants (Manteghi et al., 2014) or phenelzine (Kosten et al., 1991) for overall scale effect. Unlike other adult PTSD studies that suggest SSRIs are more effective (Stein et al., 2006; Koirala et al., 2017; Huang et al., 2020), in this study, AASs are the only effective drug with a relatively good reputation. The drugs acting on α2 receptor showed a better effect on the overall PTSD score. Psychophysiological studies hadshown that the sympathetic system of PTSD patients in veterans is enhanced (Park et al., 2017), The other study had confirmed the effect of norepinephrine on PTSD (Kosten et al., 1987). However, the drugs acting on α1 receptor do not had a beneficial effect, which may be due to the fact that α1 receptor has little effect on the release of synapses and transmitters. In terms of scale effect values, men had a more positive response to medication, but not statistically significant in terms of response rate. PTSD is usually accompanied by comorbid psychosis, such as alcohol use disorder (AUD) and depression, which may lead to higher frequencies of psychological problems (Blanco et al., 2013). However, the APA guidelines did not find that there were difference in the significant efficacy of active drug for the patient with comorbid (Association, 2017). In our study, the efficacy of drugs in the treatment of patients with comorbid psychosis was better than that of patients with single PTSD. This may indicate that in the case of comorbid mental illness, the use of medication is indispensable.

In the three symptom assessments, drug treatment also showed a better therapeutic effect. However, there are few types of drugs that work. Among them, phenelzine and sertraline had a good effect on the two symptoms, which was similar to the conclusion of the previous meta-analysis (Huang et al., 2020). On the other hand, AASs only had good effects on re-experiencing. Three of these studies (Bartzokis et al., 2005; Hamner et al., 2009; Krystal et al., 2011) used risperidone as an intervention drug, which is sufficient to demonstrate the effectiveness of risperidone. On the other hand, drug therapy is more effective in patients without comorbid psychosis, in which sertraline has a good effect. Moreover, the curative effect of a single drug is better than that of mixed therapy. In the effect of subsymptoms, both 5-HT receptors and dopamine receptors showed better effects. Recent studies had shown that 5-HT has a therapeutic effect on subsymptoms of PTSD, but it is similar to placebo in terms of overall symptoms (Spangler et al., 2020). On the other hand, the drugs acting on dopamine receptors had a relatively good prospect (Scheggia et al., 2018), it is hoped that there will be more drugs to study dopamine receptors in the future.

In terms of the overall response rate, drug therapy is effective, which is the same conclusion reached by the previous meta-analysis (Gu et al., 2016). The effective drugs are MAOIs, alpha blockers and TCAs. There was only one study with small samples on phenelzine (Kosten et al., 1991) or prazosin (Raskind et al., 2007), and two studies (Davidson et al., 1990; Kosten et al., 1991) on TCAs, including imipramine and amitriptyline. Drugs acting on α1 receptor have better response rates, but the number and sample of each type of research is very small. Therefore, we had reservations about effective drugs with response rates, and this result may need to be confirmed by more research.

Although the overall effect of drug treatment is better than that of placebo, in terms of the frequencies of complications, the frequencies of drugs was significantly higher than that of placebo. Among them, all drugs except SARIs and SSRIs showed a higher frequencie of complications, and anticonvulsant drugs have the most obvious increase in frequencies. Our research shows that topiramate and divalproex significantly increase the frequencies of complications in veterans, and also show drugs that act on GABA receptors may lead to a higher frequencies of complications but different opinions had been put forward from the APA guidelines (Association, 2017). The reason for the increase in the frequencies of complications may be that most of the studies using anticonvulsants drugs are treated with mixed drugs. Mechanistically, the action of topiramate on GABA receptors may aid in suppressing the fear response, which is helpful to relieve the symptoms of PTSD (Sofuoglu et al., 2014). Comorbid psychosis is not excluded, drugs conflict with each other, or the right medicine is not prescribed.

There have certain advantages in the withdrawal rate of overall drug therapy, but no advantage was observed in the terms of gender difference, co-disease difference, different receptors and intervention difference. It may prevent us from making effective and accurate assessments.

From the point of view between active comparators, a study (Chung et al., 2004) showed that the scale reduction score and response rate of mirtazapine are better than those of sertraline, but the withdrawal rate and the response were also higher in mirtazapine. Relevant study (McGuire et al., 2017) has promptted that D-Cycloserine can enhance the therapeutic effect and respond to and remission. In this study, we tried to compare D-Cycloserine with alprazolam. From the reduced score of the scale, D-Cycloserine is better, and in terms of frequencies of complications, alprazolam is better, but there is no statistical significance between the two groups. The final comparison is that imipramine compares with phenelzine. In terms of effectiveness, phenelzine is better, and in terms of security, imipramine is more dominant, there is no statistical significance in the comparison between the two groups. There is less evidence of direct comparison between drugs in our study, it is difficult to prove that a drug has a more positive effect, and more evidence needs to be collected in the future to come to a conclusion.

Implications for Practice

The APA guidelines from 2017 (Association, 2017) indicate that, fluoxetine, paroxetine, sertraline and venlafaxine are effective in adult PTSD patients and that there is insufficient evidence in the systematic review that a particular drug treatment can have a stronger or weaker effect on veterans. In our inclusion studies, paroxetine and venlafaxine is not involved, and there was only one study on fluoxetine (Hertzberg et al., 2000). Contrary to the guidelines, this study showed that venlafaxine performed worse in response rates and reducing scale scores and will result in higher frequencies of complications and withdrawal rate. With regard to sertraline, our further analysis showed that it was not much different from the effectiveness of placebo but increased the risk of complications. This may indicate that the difference between veterans' PTSD and adult PTSD cannot be ignored. In addition to venlafaxine and sertraline, the NICE guidelines also recommend the use of risperidone to manage PTSD symptoms. Four of our included studies used risperidone as an intervention, of which 2 studies were single drug therapy (Bartzokis et al., 2005; Krystal et al., 2011). From the stratified analysis, the therapeutic effect of single drug was better than that of combined drug, the drugs acting on 5-HT receptor and dopamine receptor have significant effect on PTSD subsymptoms. In our in-depth analysis, although no research has report the response rate of risperidone, but the effective and tolerance of risperidone were proved by this study. Therefore, our results recommended that risperidone should be regarded as the first choice for drug treatment in veterans. Different from the effect of SSRIs on 5-HT receptor (Loonen & Ivanova, 2016), AAS is mainly concentrated in dopamine-2 (D) (Nakamura & Nagamine, 2019), therefore, dopamine-2 (D) may develop as an important research direction.

Unlike fluoxetine, paroxetine, sertraline and venlafaxine recommended in APA and NICE guidelines (Health, 2005; Association, 2017) or previous study (Berger et al., 2007), this study recommended that the risperidone is used as the first-line treatment for veterans. The AAS not only has excellent therapeutic effect, but also has few side effects. Only study (Cheng et al., 2019) showed that AAS can also reduce the risk of hearing problems. When the effect of AAS is not obvious, SSRIs are recommended. In the future, clinical researchers can conduct more studies on MAOIs or phenelzine to prove their effectiveness. In terms of drug receptors, α2 receptor, dopamine receptor and 5-HT receptors has certain curative effect. It's worth noting that the drugs acting on α2 receptor with small sample size need more research. 5-HT receptors are mainly receptors of SSRI, SARI drugs, and its efficacy has also been confirmed by other studies (Kosten et al., 1991; Zohar et al., 2002; Panahi et al., 2011). The drugs of dopamine receptors are mainly risperidone, recent studies had shown that the interaction between antipsychotic drugs and abnormal binding proteins in patients is mediated by dopamine receptors. This newly discovered pharmacodynamic mechanism suggests ways to improve the use of antipsychotic drugs (Scheggia et al., 2018). The other study had shown that genetic information may affect dopamine, and individual differences may also be the cause of unstable drug efficacy (Leggio et al., 2019). At the genetic level, studies have shown that ANKRD55 on chromosome five and ZNF626 on chromosome 19 may be effective in the treatment of PTSD in veterans (Stein et al., 2016), In the future, it may be possible to carry out personalized therapy based on genes. It has been proved by studies (Kang et al., 2003; Hoge et al., 2006), different battlefields may lead to different symptoms of PTSD. However, our analysis includes only two battlefields of OEF & OIF and Vietnam War, and there is no statistically significant difference in each primary outcome between the two battlefields. Therefore, drug therapy may not be effective for soldiers who have served in Vietnam and OEF & OIF, It is hoped that there will be more research on different battlefields in the future. Even if the drug treatment is effective, but according to the standard, the moderate effect size is an SMD range of 0.5–0.8, so the drugs effect is very small (Cohen, 2013), and no drugs show statistically significant high efficacy. Therefore, compared with psychotherapy (Belsher et al., 2019; Rasmussen et al., 2019), drug therapy is more suitable as an adjuvant therapy. It is hoped that future studies can further confirm the results of this study and analyze the differences among different groups in more detail. We also hope to be able to compare the performance-to-price ratio of drug therapy and psychotherapy so as to find the most suitable treatment for patients.

Advantages and Limitations

The study updated the latest and most comprehensive evidence of drug treatment for veterans and pointed out the positive effects of some drugs, which provided ideas and directions for future clinical trial research and made it possible to improve various guidelines. However, this study also has some limitations. First, there are too few studies on various types of drugs in the subsymptomatic outcomes, which may lead to unstable results, so more research is needed to prove it in the future. Secondly, there lacked direct comparison evidences, such as the special drugs and doses, leading that the corresponding dosages failed recommended for the veterans based on the available evidence. It is expected that there will be more high-quality evidence with large sample in the future.

Conclusion

This study demonstrated that AASs including risperidone, and SSRIs including sertraline, can effectively reduce the veteran’s score of PTSD scale and its subsymptoms, and the combination of drugs will not improve the therapeutic effect. For veterans with comorbid mental illness, the effect of AASs is more significant, and the effects of anticonvulsants are better for male veterans. However, it is noteworthy that anticonvulsant drugs can lead to more complications. The effect of central muscle relaxants and phenelzine exceeds the medium standard, but more researches are needed to confirm it. Drugs acting on 5-HT receptors and dopamine can significantly improve subsymptoms, while drugs acting on α2 receptors need to be confirmed by more studies. Meanwhile, other drugs including TCAs, SARIs, SMSs, α2 receptor agonist, reversible cholinesterase inhibitor, N-acetylcysteine, MAOI, GABA agonists, D-cycloserine, corticosteroid, alpha blockers may have lower priority.

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 authors.

Author Contributions

Conceptualization: CZ, R-XY; Data curation: Y-FZ, Z-DH; Formal analysis: Y-FZ, Z-DH, H-YG, Funding acquisition: G-LG; Investigation: G-LG, R-XY, CZ; Methodology: YFZ, Z-DH, R-XY, CZ; Project administration: Z-DH, R-XY, CZ; Resources: Z-DH, CZ; Software: Y-FZ, Z-DH; Supervision: G-LG, R-XY, CZ; Validation: R-XY, CZ; Visualization: G-LG, R-XY, CZ; Roles/Writing–original draft: Y-FZ, Z-DH; Writing–review & editing: G-LG, R-XY, CZ.

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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2020.602447/full#supplementary-material.

References

Akuchekian, S., and Amanat, S. (2004). The comparison of topiramate and placebo in the treatment of posttraumatic stress disorder: a randomized, double- blind study. J. Res. Med. Sci. 5, 240–244.

Google Scholar

APA (2013). Diagnostic and statistical manual of mental disorders: DSM-IV-TR®, 4th edn. Washington (DC): American Psychiatric Association.

Google Scholar

Association, A. P. (2017). Clinical practice guideline for the treatment of posttraumatic stress disorder (PTSD). Washington (DC): American Psychiatric Association.

Google Scholar

Back, S. E., McCauley, J. L., Korte, K. J., Gros, D. F., Leavitt, V., Gray, K. M., et al. (2016). A double-blind, randomized, controlled pilot trial of N-acetylcysteine in veterans with posttraumatic stress disorder and substance use disorders. J. Clin. Psychiatr. 77, e1439–e46. doi:10.4088/JCP.15m10239

CrossRef Full Text | Google Scholar

Baniasadi, M., Hosseini, G., Fayyazi Bordbar, M. R., Rezaei Ardani, A., and Mostafavi Toroghi, H. (2014). Effect of pregabalin augmentation in treatment of patients with combat-related chronic posttraumatic stress disorder: a randomized controlled trial. J. Psychiatr. Pract. 20, 419–427. doi:10.1097/01.pra.0000456590.12998.41

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartzokis, G., Lu, P. H., Turner, J., Mintz, J., and Saunders, C. S. (2005). Adjunctive risperidone in the treatment of chronic combat-related posttraumatic stress disorder. Biol. Psychiatr. 57, 474–479. doi:10.1016/j.biopsych.2004.11.039

CrossRef Full Text | Google Scholar

Batki, S. L., Pennington, D. L., Lasher, B., Neylan, T. C., Metzler, T., Waldrop, A., et al. (2014). Topiramate treatment of alcohol use disorder in veterans with posttraumatic stress disorder: a randomized controlled pilot trial. Alcohol Clin. Exp. Res. 38, 2169–2177. doi:10.1111/acer.12496

PubMed Abstract | CrossRef Full Text | Google Scholar

Belsher, B., Beech, E., Evatt, D., Smolenski, D., Shea, M., Otto, J., et al. (2019). Present-centered therapy (PCT) for post-traumatic stress disorder (PTSD) in adults. Cochrane Database Syst. Rev. 2019 (11), CD012898. doi:10.1002/14651858.CD012898.pub2

CrossRef Full Text | Google Scholar

Berger, W., Portella, C. M., Fontenelle, L. F., Kinrys, G., and Mendlowicz, M. V. (2007). Antipsicóticos, anticonvulsivantes, antiadrenérgicos e outras drogas: o que fazer quando o transtorno do estresse pós-traumático não responde aos inibidores seletivos da recaptação da serotonina?. Brazilian Journal of Psychiatry 29, S61–S5. doi:10.1590/S1516-44462007000600005

PubMed Abstract | CrossRef Full Text | Google Scholar

Blanco, C., Xu, Y., Brady, K., Pérez-Fuentes, G., Okuda, M., and Wang, S. (2013). Comorbidity of posttraumatic stress disorder with alcohol dependence among US adults: results from National Epidemiological Survey on Alcohol and Related Conditions. Drug Alcohol Depend. 132, 630–638. doi:10.1016/j.drugalcdep.2013.04.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Broidy, L. M., Stewart, A. L., Thompson, C. M., Chrzanowski, A., Allard, T., and Dennison, S. M. (2015). Life course offending pathways across gender and race/ethnicity. Journal of developmental and life-course criminology, 1 (2), 118–149. doi:10.1007/s40865-015-0008-z

CrossRef Full Text | Google Scholar

Charney, D. S., Deutch, A. Y., Krystal, J. H., Southwick, S. M., and Davis, M. (1993). Psychobiologic mechanisms of posttraumatic stress disorder. Arch. Gen. Psychiatr. 50, 295–305. doi:10.1001/archpsyc.1993.01820160064008

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, L., Zhu, J., Ji, F., Lin, X., Zheng, L., Chen, C., et al. (2019). Add-on atypical anti-psychotic treatment alleviates auditory verbal hallucinations in patients with chronic post-traumatic stress disorder. Neurosci. Lett. 701, 202–207. doi:10.1016/j.neulet.2019.02.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Chung, M. Y., Min, K. H., Jun, Y. J., Kim, S. S., Kim, W. C., and Jun, E. M. (2004). Efficacy and tolerability of mirtazapine and sertraline in Korean veterans with posttraumatic stress disorder: a randomized open label trial. Hum. Psychopharmacol. 19, 489–494. doi:10.1002/hup.615

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, J. (2013). Statistical power analysis for the behavioral sciences 2nd edn, Hillsdale, NJ: Lawrence Erlbaum Associates.

Google Scholar

Davidson, J., Kudler, H., Smith, R., Mahorney, S. L., Lipper, S., Hammett, E., et al. (1990). Treatment of posttraumatic stress disorder with amitriptyline and placebo. Arch. Gen. Psychiatr. 47, 259–266. doi:10.1001/archpsyc.1990.01810150059010

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, L. L., Davidson, J. R., Ward, L. C., Bartolucci, A., Bowden, C. L., and Petty, F. (2008a). Divalproex in the treatment of posttraumatic stress disorder: a randomized, double-blind, placebo-controlled trial in a veteran population. J. Clin. Psychopharmacol. 28, 84–88. doi:10.1097/JCP.0b013e318160f83b

CrossRef Full Text | Google Scholar

Davis, L. L., Jewell, M. E., Ambrose, S., Farley, J., English, B., Bartolucci, A., et al. (2004). A placebo-controlled study of nefazodone for the treatment of chronic posttraumatic stress disorder: a preliminary study. J. Clin. Psychopharmacol. 24, 291–297. doi:10.1097/01.jcp.0000125685.82219.1a

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, L. L., Ward, C., Rasmusson, A., Newell, J. M., Frazier, E., and Southwick, S. M. (2008b). A placebo-controlled trial of guanfacine for the treatment of posttraumatic stress disorder in veterans. Psychopharmacol. Bull. 41, 8–18.

Google Scholar

Dohrenwend, B. P., Turner, J. B., Turse, N. A., Adams, B. G., Koenen, K. C., and Marshall, R. (2006). The psychological risks of Vietnam for U.S. veterans: a revisit with new data and methods. Science 313, 979–982. doi:10.1126/science.1128944

PubMed Abstract | CrossRef Full Text | Google Scholar

Duval, S., and Tweedie, R. (2000). Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56, 455–463. doi:10.1111/j.0006-341x.2000.00455.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Flanagan, J. C., Allan, N. P., Calhoun, C. D., Badour, C. L., Moran-Santa Maria, M., Brady, K. T., and et al. Back, S. E. (2019). Effects of oxytocin on stress reactivity and craving in veterans with co-occurring PTSD and alcohol use disorder. Exp. Clin. Psychopharmacol 27, 45–54. doi:10.1037/pha0000232

PubMed Abstract | CrossRef Full Text | Google Scholar

Frank, J. B., Kosten, T. R., Giller, E. L., and Dan, E. (1988). A randomized clinical trial of phenelzine and imipramine for posttraumatic stress disorder. Am. J. Psychiatr. 145, 1289–1291. doi:10.1176/ajp.145.10.1289

PubMed Abstract | CrossRef Full Text | Google Scholar

Friedman, M. J., Marmar, C. R., Baker, D. G., Sikes, C. R., and Farfel, G. M. (2007). Randomized, double-blind comparison of sertraline and placebo for posttraumatic stress disorder in a Department of Veterans Affairs setting. J. Clin. Psychiatr. 68, 711–720. doi:10.4088/jcp.v68n0508

CrossRef Full Text | Google Scholar

Friedrich, J. O., Adhikari, N. K., and Beyene, J. (2011). Ratio of means for analyzing continuous outcomes in meta-analysis performed as well as mean difference methods. J. Clin. Epidemiol. 64, 556–564. doi:10.1016/j.jclinepi.2010.09.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Gerger, H., Munder, T., Gemperli, A., Nüesch, E., Trelle, S., Jüni, P., and et al. Barth, J. (2014). Integrating fragmented evidence by network meta-analysis: relative effectiveness of psychological interventions for adults with post-traumatic stress disorder. Psychol. Med. 44, 3151–3164. doi:10.1017/S0033291714000853

PubMed Abstract | CrossRef Full Text | Google Scholar

Germain, A., Richardson, R., Moul, D. E., Mammen, O., Haas, G., Forman, S. D., et al. (2012). Placebo-controlled comparison of prazosin and cognitive-behavioral treatments for sleep disturbances in US Military Veterans. J. Psychosom. Res. 72, 89–96. doi:10.1016/j.jpsychores.2011.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Goodson, J., Helstrom, A., Halpern, J. M., Ferenschak, M. P., Gillihan, S. J., and Powers, M. B. (2011). Treatment of posttraumatic stress disorder in U.S. combat veterans: a meta-analytic review. Psychol. Rep. 109, 573–599. doi:10.2466/02.09.15.16.PR0.109.5.573-599

PubMed Abstract | CrossRef Full Text | Google Scholar

Gu, W., Wang, C., Li, Z., Wang, Z., and Zhang, X. (2016). Pharmacotherapies for posttraumatic stress disorder: a meta-analysis. J. Nerv. Ment. Dis. 204, 331–338. doi:10.1097/NMD.0000000000000478

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, S. K. (2011). Intention-to-treat concept: a review. Perspect Clin Res 2, 109–112. doi:10.4103/2229-3485.83221

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamner, M. B., Faldowski, R. A., Robert, S., Ulmer, H. G., Horner, M. D., and Lorberbaum, J. P. (2009). A preliminary controlled trial of divalproex in posttraumatic stress disorder. Ann. Clin. Psychiatr. 21, 89–94.

Google Scholar

Hamner, M. B., Faldowski, R. A., Ulmer, H. G., Frueh, B. C., Huber, M. G., and Arana, G. W. (2003). Adjunctive risperidone treatment in post-traumatic stress disorder: a preliminary controlled trial of effects on comorbid psychotic symptoms. Int. Clin. Psychopharmacol. 18, 1–8. doi:10.1097/01.yic.0000050744.67514.6d

PubMed Abstract | CrossRef Full Text | Google Scholar

Health, N. C. Cf. M. (2005). Post-traumatic stress disorder: the management of PTSD in adults and children in primary and secondary Care London, UK: British Psychological Society/Royal College of Psychiatrists.

Google Scholar

Hertzberg, M. A., Feldman, M. E., Beckham, J. C., Kudler, H. S., and Davidson, J. R. (2000). Lack of efficacy for fluoxetine in PTSD: a placebo controlled trial in combat veterans. Ann. Clin. Psychiatr. 12, 101–105. doi:10.1023/a:1009076231175

CrossRef Full Text | Google Scholar

Higgins, J. P., and Green, S. (2011). Cochrane handbook for systematic reviews of interventions, Vol. 4. Hoboken, NJ: John Wiley & Sons.

Google Scholar

Higgins, J. P., Thompson, S. G., Deeks, J. J., and Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ 327, 557–560. doi:10.1136/bmj.327.7414.557

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoge, C. W., Auchterlonie, J. L., and Milliken, C. S. (2006). Mental health problems, use of mental health services, and attrition from military service after returning from deployment to Iraq or Afghanistan. J. Am. Med. Assoc. 295, 1023–1032. doi:10.1001/jama.295.9.1023

CrossRef Full Text | Google Scholar

Hoskins, M., Pearce, J., Bethell, A., Dankova, L., Barbui, C., Tol, W. A., et al. (2015). Pharmacotherapy for post-traumatic stress disorder: systematic review and meta-analysis. Br. J. Psychiatry 206, 93–100. doi:10.1192/bjp.bp.114.148551

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, Z. D., Zhao, Y. F., Li, S., Gu, H. Y., Lin, L. L., Yang, Z. Y., et al. (2020). Comparative efficacy and acceptability of pharmaceutical management for adults with post-traumatic stress disorder: a systematic review and meta-analysis. Front. Pharmacol. 11, 559. doi:10.3389/fphar.2020.00559

PubMed Abstract | CrossRef Full Text | Google Scholar

IoM, (2014). Treatment for posttraumatic stress disorder in military and veteran populations: final assessment. Available at: http://iomnationalacademiesorg/∼/media/Files/Report%20Files/2014/PTSD-II/PTSD-II-RBpdf:

Google Scholar

Ivanova, J. I., Birnbaum, H. G., Chen, L., Duhig, A. M., Dayoub, E. J., Kantor, E. S., et al. (2011). Cost of post-traumatic stress disorder vs major depressive disorder among patients covered by medicaid or private insurance. Am. J. Manag. Care 17, e314–23.

PubMed Abstract | Google Scholar

Kang, H. K., Natelson, B. H., Mahan, C. M., Lee, K. Y., and Murphy, F. M. (2003). Post-traumatic stress disorder and chronic fatigue syndrome-like illness among Gulf War veterans: a population-based survey of 30,000 veterans. Am. J. Epidemiol. 157, 141–148. doi:10.1093/aje/kwf187

PubMed Abstract | CrossRef Full Text | Google Scholar

Koenen, K. C., Sumner, J. A., Gilsanz, P., Glymour, M. M., Ratanatharathorn, A., Rimm, E. B., et al. (2017). Post-traumatic stress disorder and cardiometabolic disease: improving causal inference to inform practice. Psychol. Med. 47, 209–225. doi:10.1017/S0033291716002294

PubMed Abstract | CrossRef Full Text | Google Scholar

Koirala, R., Søegaard, E. G. I., and Thapa, S. B. (2017). Updates on pharmacological treatment of post-traumatic stress disorder. JNMA J Nepal Med Assoc 56, 274–280.

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosten, T. R., Frank, J. B., Dan, E., McDougle, C. J., and Giller, E. L. (1991). Pharmacotherapy for posttraumatic stress disorder using phenelzine or imipramine. J. Nerv. Ment. Dis. 179, 366–370. doi:10.1097/00005053-199106000-00011

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosten, T. R., Mason, J. W., Giller, E. L., Ostroff, R. B., and Harkness, L. (1987). Sustained urinary norepinephrine and epinephrine elevation in post-traumatic stress disorder. Psychoneuroendocrinology 12, 13–20. doi:10.1016/0306-4530(87)90017-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Krystal, J. H., Rosenheck, R. A., Cramer, J. A., Vessicchio, J. C., Jones, K. M., Vertrees, J. E., et al. (2011). Adjunctive risperidone treatment for antidepressant-resistant symptoms of chronic military service-related PTSD: a randomized trial. J. Am. Med. Assoc. 306, 493–502. doi:10.1001/jama.2011.1080

CrossRef Full Text | Google Scholar

Leggio, G., Torrisi, S., Mastrogiacomo, R., Mauro, D., Chisari, M., Devroye, C., et al. (2019). The epistatic interaction between the dopamine D3 receptor and dysbindin-1 modulates higher-order cognitive functions in mice and humans Mol. Psychiatr. doi:10.1038/s41380-019-0511-4

CrossRef Full Text | Google Scholar

Lindley, S. E., Carlson, E. B., and Hill, K. (2007). A randomized, double-blind, placebo-controlled trial of augmentation topiramate for chronic combat-related posttraumatic stress disorder. J. Clin. Psychopharmacol. 27, 677–681. doi:10.1097/jcp.0b013e31815a43ee

PubMed Abstract | CrossRef Full Text | Google Scholar

Lipsey, M. W. W. D. (2001). Practical meta-analysis. Newbury Park, CA: SAGE Publications.

Google Scholar

Litz, B. T., Salters-Pedneault, K., Steenkamp, M. M., Hermos, J. A., Bryant, R. A., Otto, M. W., et al. (2012). A randomized placebo-controlled trial of D-cycloserine and exposure therapy for posttraumatic stress disorder. J. Psychiatr. Res. 46, 1184–1190. doi:10.1016/j.jpsychires.2012.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Loonen, A. J., and Ivanova, S. A. (2016). Circuits regulating pleasure and happiness-mechanisms of depression. Front. Hum. Neurosci. 10, 571. doi:10.3389/fnhum.2016.00571

PubMed Abstract | CrossRef Full Text | Google Scholar

Manteghi, A. A., Hebrani, P., Mortezania, M., Haghighi, M. B., and Javanbakht, A. (2014). Baclofen add-on to citalopram in treatment of posttraumatic stress disorder. J. Clin. Psychopharmacol. 34, 240–243. doi:10.1097/JCP.0000000000000089

PubMed Abstract | CrossRef Full Text | Google Scholar

McGuire, J. F., Wu, M. S., Piacentini, J., McCracken, J. T., and Storch, E. A. (2017). A meta-analysis of D-cycloserine in exposure-based treatment: moderators of treatment efficacy, response, and diagnostic remission. J. Clin. Psychiatr. 78, 196–206. doi:10.4088/JCP.15r10334

CrossRef Full Text | Google Scholar

McInnes, M. D. F., Moher, D., Thombs, B. D., McGrath, T. A., et al. (2018). Preferred reporting Items for a systematic review and meta-analysis of diagnostic test accuracy studies: the PRISMA-DTA statement. J. Am. Med. Assoc. 319 (4), 388–396. doi:10.1001/jama.2017.19163

CrossRef Full Text | Google Scholar

Monnelly, E. P., Ciraulo, D. A., Knapp, C., and Keane, T. (2003). Low-dose risperidone as adjunctive therapy for irritable aggression in posttraumatic stress disorder. J. Clin. Psychopharmacol. 23, 193–196. doi:10.1097/00004714-200304000-00012

PubMed Abstract | CrossRef Full Text | Google Scholar

Murray, C. J., Richards, M. A., Newton, J. N., Fenton, K. A., Anderson, H. R., Atkinson, C., et al. (2013). UK health performance: findings of the global burden of disease study 2010. Lancet 381, 997–1020. doi:10.1016/S0140-6736(13)60355-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakamura, M., and Nagamine, T. (2019). Brexpiprazole as a new serotonin-dopamine receptor modulator: considering the clinical relevance for metabolic parameters and prolactin levels. Innov Clin Neurosci 16, 30–32.

PubMed Abstract | Google Scholar

Naylor, J. C., Kilts, J. D., Bradford, D. W., Strauss, J. L., Capehart, B. P., Szabo, S. T., et al. (2015). A pilot randomized placebo-controlled trial of adjunctive aripiprazole for chronic PTSD in US military Veterans resistant to antidepressant treatment. Int. Clin. Psychopharmacol. 30, 167–174. doi:10.1097/YIC.0000000000000061

PubMed Abstract | CrossRef Full Text | Google Scholar

Neylan, T. C., Lenoci, M., Samuelson, K. W., Metzler, T. J., Henn-Haase, C., Hierholzer, R. W., et al. (2006). No improvement of posttraumatic stress disorder symptoms with guanfacine treatment. Am. J. Psychiatr. 163, 2186–2188. doi:10.1176/appi.ajp.163.12.2186

PubMed Abstract | CrossRef Full Text | Google Scholar

Panahi, Y., Moghaddam, B. R., Sahebkar, A., Nazari, M. A., Beiraghdar, F., Karami, G., et al. (2011). A randomized, double-blind, placebo-controlled trial on the efficacy and tolerability of sertraline in Iranian veterans with post-traumatic stress disorder. Psychol. Med. 41, 2159–2166. doi:10.1017/S0033291711000201

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, J., Marvar, P. J., Liao, P., Kankam, M. L., Norrholm, S. D., Downey, R. M., et al. (2017). Baroreflex dysfunction and augmented sympathetic nerve responses during mental stress in veterans with post-traumatic stress disorder. J. Physiol. (Lond.) 595, 4893–4908. doi:10.1113/JP274269

CrossRef Full Text | Google Scholar

Petrakis, I. L., Desai, N., Gueorguieva, R., Arias, A., O'Brien, E., Jane, J. S., et al. (2016). Prazosin for veterans with posttraumatic stress disorder and comorbid alcohol dependence: a clinical trial. Alcohol Clin. Exp. Res. 40, 178–186. doi:10.1111/acer.12926

PubMed Abstract | CrossRef Full Text | Google Scholar

Petrakis, I. L., and Simpson, T. L. (2017). Posttraumatic stress disorder and alcohol use disorder: a critical review of pharmacologic treatments. Alcohol Clin. Exp. Res. 41, 226–237. doi:10.1111/acer.13297

PubMed Abstract | CrossRef Full Text | Google Scholar

Puetz, T. W., Youngstedt, S. D., and Herring, M. P. (2015). Effects of pharmacotherapy on combat-related PTSD, anxiety, and depression: a systematic review and meta-regression analysis. PloS One 10, e0126529, doi:10.1371/journal.pone.0126529

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramaswamy, S., Driscoll, D., Reist, C., Smith, L. M., Albers, L. J., Rose, J., et al. (2017). A double-blind, placebo-controlled randomized trial of vilazodone in the treatment of posttraumatic stress disorder and comorbid depression. Prim Care Companion CNS Disord 19. doi:10.4088/PCC.17m02138

CrossRef Full Text | Google Scholar

Raskind, M. A., Peskind, E. R., Chow, B., Harris, C., Davis-Karim, A., Holmes, H. A., et al. (2018). Trial of prazosin for post-traumatic stress disorder in military veterans. N. Engl. J. Med. 378, 507–517. doi:10.1056/NEJMoa1507598

PubMed Abstract | CrossRef Full Text | Google Scholar

Raskind, M. A., Peskind, E. R., Hoff, D. J., Hart, K. L., Holmes, H. A., Warren, D., et al. (2007). A parallel group placebo controlled study of prazosin for trauma nightmares and sleep disturbance in combat veterans with post-traumatic stress disorder. Biol. Psychiatr. 61, 928–934. doi:10.1016/j.biopsych.2006.06.032

CrossRef Full Text | Google Scholar

Rasmussen, K., Stackhouse, M., Boon, S., Comstock, K., and Ross, R. (2019). Meta-analytic connections between forgiveness and health: the moderating effects of forgiveness-related distinctions. Psychol. Health 34 (5), 515–534. doi:10.1080/08870446.2018.1545906

PubMed Abstract | CrossRef Full Text | Google Scholar

Rezaei Ardani, A., Hosseini, G., Fayyazi Bordbar, M. R., Talaei, A., and Mostafavi Toroghi, H. (2017). Effect of rivastigmine augmentation in treatment of male patients with combat-related chronic posttraumatic stress disorder: a randomized controlled trial. J. Clin. Psychopharmacol. 37, 54–60. doi:10.1097/JCP.0000000000000624

PubMed Abstract | CrossRef Full Text | Google Scholar

Richardson, L. K., Frueh, B. C., and Acierno, R. (2010). Prevalence estimates of combat-related post-traumatic stress disorder: critical review. Aust. N. Z. J. Psychiatr. 44, 4–19. doi:10.3109/00048670903393597

CrossRef Full Text | Google Scholar

Rodgman, C., Verrico, C. D., Holst, M., Thompson-Lake, D., Haile, C. N., De La Garza, R., et al. (2016). Doxazosin XL reduces symptoms of posttraumatic stress disorder in veterans with PTSD: a pilot clinical trial. J. Clin. Psychiatr. 77, e561–5. doi:10.4088/JCP.14m09681

CrossRef Full Text | Google Scholar

Rothbaum, B. O., Price, M., Jovanovic, T., Norrholm, S. D., Gerardi, M., Dunlop, B., et al. (2014). A randomized, double-blind evaluation of D-cycloserine or alprazolam combined with virtual reality exposure therapy for posttraumatic stress disorder in Iraq and Afghanistan War veterans. Am. J. Psychiatr. 171, 640–648. doi:10.1176/appi.ajp.2014.13121625

PubMed Abstract | CrossRef Full Text | Google Scholar

Scheggia, D., Mastrogiacomo, R., Mereu, M., Sannino, S., Straub, R. E., Armando, M., et al. (2018). Variations in Dysbindin-1 are associated with cognitive response to antipsychotic drug treatment. Nat. Commun. 9, 2265. doi:10.1038/s41467-018-04711-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Scherrer, J. F., Salas, J., Schneider, F. D., Friedman, M. J., van den Berk-Clark, C., Chard, K. M., et al. (2020). PTSD improvement and incident cardiovascular disease in more than 1000 veterans. J. Psychosom. Res. 134, 110128. doi:10.1016/j.jpsychores.2020.110128

PubMed Abstract | CrossRef Full Text | Google Scholar

Sofuoglu, M., Rosenheck, R., and Petrakis, I. (2014). Pharmacological treatment of comorbid PTSD and substance use disorder: recent progress. Addict. Behav. 39, 428–433. doi:10.1016/j.addbeh.2013.08.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Spangler, P. T., West, J. C., Dempsey, C. L., Possemato, K., Bartolanzo, D., Aliaga, P., et al. (2020). Randomized controlled trial of riluzole augmentation for posttraumatic stress disorder: efficacy of a glutamatergic modulator for antidepressant-resistant symptoms. J. Clin. Psychiatr. 81. doi:10.4088/JCP.20m13233

CrossRef Full Text | Google Scholar

Stein, D. J., Ipser, J. C., and Seedat, S. (2006). Pharmacotherapy for post traumatic stress disorder (PTSD). Cochrane Database Syst. Rev., CD002795. doi:10.1002/14651858.CD002795.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

Stein, M. B., Chen, C. Y., Ursano, R. J., Cai, T., Gelernter, J., Heeringa, S. G., et al. (2016). Genome-wide association studies of posttraumatic stress disorder in 2 cohorts of US army soldiers. JAMA psychiatry 73, 695–704. doi:10.1001/jamapsychiatry.2016.0350

PubMed Abstract | CrossRef Full Text | Google Scholar

Stein, M. B., Kline, N. A., and Matloff, J. L. (2002). Adjunctive olanzapine for SSRI-resistant combat-related PTSD: a double-blind, placebo-controlled study. Am. J. Psychiatr. 159, 1777–1779. doi:10.1176/appi.ajp.159.10.1777

PubMed Abstract | CrossRef Full Text | Google Scholar

Surís, A., Holliday, R., Adinoff, B., Holder, N., and North, C. S. (2017). Facilitating fear-based memory extinction with dexamethasone: a randomized controlled trial in male veterans with combat-related PTSD. Psychiatry 80, 399–410. doi:10.1080/00332747.2017.1286892

PubMed Abstract | CrossRef Full Text | Google Scholar

Villarreal, G., Hamner, M. B., Cañive, J. M., Robert, S., Calais, L. A., Durklaski, V., et al. (2016). Efficacy of quetiapine monotherapy in posttraumatic stress disorder: a randomized, placebo-controlled trial. Am. J. Psychiatr. 173, 1205–1212. doi:10.1176/appi.ajp.2016.15070967

PubMed Abstract | CrossRef Full Text | Google Scholar

Weathers, F. W., Bovin, M. J., Lee, D. J., Sloan, D. M., Schnurr, P. P., Kaloupek, D. G., et al. (2018). The Clinician-Administered PTSD Scale for DSM-5 (CAPS-5): development and initial psychometric evaluation in military veterans. Psychol. Assess. 30, 383–395. doi:10.1037/pas0000486

PubMed Abstract | CrossRef Full Text | Google Scholar

Wynn, G. (2015). Complementary and alternative medicine approaches in the treatment of PTSD. Curr. Psychiatr. Rep. 17, 600. doi:10.1007/s11920-015-0600-2

CrossRef Full Text | Google Scholar

Zohar, J., Amital, D., Miodownik, C., Kotler, M., Bleich, A., Lane, R. M., et al. (2002). Double-blind placebo-controlled pilot study of sertraline in military veterans with posttraumatic stress disorder. J. Clin. Psychopharmacol. 22, 190–195. doi:10.1097/00004714-200204000-00013

PubMed Abstract | CrossRef Full Text | Google Scholar

Zuromski, K. L., Ustun, B., Hwang, I., Keane, T. M., Marx, B. P., Stein, M. B., et al. (2019). Developing an optimal short-form of the PTSD Checklist for DSM-5 (PCL-5). Depress. Anxiety 36, 790–800. doi:10.1002/da.22942

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: post-traumatic stress disorder, Veteran, risperidone, sertraline, PTSD symptoms scale

Citation: Zhao Y-F, Huang Z-D, Gu H-Y, Guo G-L, Yuan R-X and Zhang C (2020) Key Clinical Interest Outcomes of Pharmaceutical Administration for Veterans With Post-Traumatic Stress Disorder Based on Pooled Evidences of 36 Randomised Controlled Trials With 2,331 Adults. Front. Pharmacol. 11:602447. doi: 10.3389/fphar.2020.602447

Received: 03 September 2020; Accepted: 26 November 2020;
Published: 17 December 2020.

Edited by:

Claudio Bucolo, University of Catania, Italy

Reviewed by:

Gian Marco Leggio, University of Catania, Italy
Hermann Prossinger, University of Vienna, Austria

Copyright © 2020 Zhao, Huang, Gu, Guo, Yuan and Zhang. 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: Guang-Ling Guo, guoguangling1208@163.com; Rui-Xia Yuan, yuanwhuer@126.com; Chao Zhang, zhangchao0803@126.com

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.