OBJECTIVE: Periodontal disease is a chronic condition caused by microbial infection and mediated by the host\'s immune response. Phytotherapy is a therapeutic approach that utilizes a renewable resource capable of supplying less expensive medicines for the world\'s growing population. This review aimed to present clinical evidence on the use of complementary medicinal herbs in the treatment of periodontal diseases.
METHODS: Different databases were searched using the terms \"herbal\" and \"periodontitis.\" All included studies were examined with a focus on herbal indications, type, and prescription length. Dentists\' therapeutic and prophylactic herbal prescribing habits were also assessed.
RESULTS: Various herbs such as turmeric, neem, aloe-vera, pomegranate, catechu, tulsi, cloves, lemon grass, green tea, tea tree oil, peppermint, garlic, pineapple, oak bark, babul, bakul, sage, coriander, moringa, amla, guava, and grape seed extract have been used in the treatment of periodontitis. These herbs have been reported to exhibit a range of therapeutic effects, including anti-inflammatory, antiplaque, antihalitosis, antiresorptive, antioxidant, antibacterial, antifungal, antiviral, and antimicrobial properties. These components can be utilized in various forms such as mouth rinse, gel, oil, toothpaste, aqueous extract, mouthwash, or tooth powder.
CONCLUSIONS: Several readily available herbal formulations are now available on the market and have been shown to be effective as supplemental periodontal phytotherapy. However, these should be used under the supervision of a dental professional to ensure optimal benefits and effectiveness. Therefore, it is necessary to improve the understanding of suggested herbal prescription practices among dental professionals.

BACKGROUND: Approximately 27% of individuals seeking Korean medicine (KM) services in South Korea are prescribed herbal decoctions. The South Korean government has considered the validity of providing National Health Insurance coverage for herbal decoctions. Therefore, it is important to investigate their safety.
OBJECTIVE: To investigate the safety of herbal decoctions commonly prescribed by KM doctors and to assess their effects on liver and kidney function by comprehensively analyzing Korean clinical studies in a scoping review.
METHODS: The Arksey and O\'Malley framework and modified methods were applied in this scoping review. A comprehensive search of seven electronic health databases was conducted, and relevant clinical studies published between 2000 and 2022 were identified. Subsequently, only clinical studies reporting the results of liver and/or renal function tests in patient prescribed herbal decoctions by KM doctors were included. The characteristics of the included clinical studies and the reported proportion of each liver and/or renal function indicator were analyzed. Meta-analyses of the effects of herbal decoction on liver and/or renal function reported in prospective cohort studies were also performed.
RESULTS: Fifty-nine clinical studies were included in this review. The proportion of prospective cohort studies markedly decreased in the 2010s compared to the 2000s, while there was no noticeable change in the number of relevant clinical studies. Herbal decoctions were prescribed for less than one month in most included studies. Abnormal changes in liver or renal function indicators were identified in a small number of studies (3.70% and 7.69%, respectively). In a meta-analysis of 15 prospective cohort studies, no statistically significant changes in four liver function indices and two renal function indices were observed before and after the prescription of herbal decoctions.
CONCLUSIONS: Qualitative and quantitative analyses demonstrated favorable safety profiles for herbal decoctions. This scoping review includes the gaps noted between clinical application and research regarding the safety profiles of herbal decoctions. These findings could be used as evidence to support the inclusion of herbal decoction prescriptions in the National Health Insurance coverage in South Korea.

Antibiotic resistance is growing globally. The practice of health professionals when prescribing antibiotics in primary health care settings significantly impacts antibiotic resistance. Antibiotic prescription is a complex process influenced by various internal and external factors. This systematic review aims to summarize the available evidence regarding factors contributing to the variation in antibiotic prescribing among physicians in primary healthcare settings.
This systematic review was conducted based on PRISMA guidelines. We included qualitative, quantitative and mixed methods studies that examined factors influencing prescription practice and variability among primary healthcare physicians. We excluded editorials, opinions, systematic reviews and studies published in languages other than English. We searched studies from electronic databases: PubMed, ProQuest Health and Medicine, Web Science, and Scopus. The quality of the included studies was appraised using the Mixed Methods Appraisal Tool (Version 2018). Narrative synthesis was employed to synthesize the result and incorporate quantitative studies.
Of the 1816 identified studies, 49 studies spanning 2000-2023 were eligible for review. The factors influencing antibiotic prescription practice and variability were grouped into physician-related, patient-related, and healthcare system-related factors. Clinical guidelines, previous patient experience, physician experience, colleagues\' prescribing practice, pharmaceutical pressure, time pressure, and financial considerations were found to be influencing factors of antibiotic prescribing practice. In addition, individual practice patterns, practice volume, and relationship with patients were also other factors for the variability of antibiotic prescription, especially for intra-physician prescription variability.
Antibiotic prescription practice in primary health care is a complex practice, influenced by a combination of different factors and this may account for the variation. To address the factors that influence the variability of antibiotic prescription (intra- and inter-physician), interventions should aim to reduce diagnostic uncertainty and provide continuous medical education and training to promote patient-centred care.

Green spaces play a crucial role in promoting sustainable and healthy lives. Recent evidence shows that green space also may reduce the need for healthcare, prescription medications, and associated costs. This systematic review provides the first comprehensive assessment of the available literature examining green space exposure and its associations with healthcare prescriptions and expenditures. We applied Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines to search MEDLINE, Scopus, and Web of Science for observational studies published in English through May 6, 2023. A quality assessment of the included studies was conducted using the Office of Health Assessment and Translation (OHAT) tool, and the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) assessment was used to evaluate the overall quality of evidence. Our search retrieved 26 studies that met the inclusion criteria and were included in our review. Among these, 20 studies (77 % of the total) showed beneficial associations of green space exposure with healthcare prescriptions or expenditures. However, most studies had risks of bias, and the overall strength of evidence for both outcomes was limited. Based on our findings and related bodies of literature, we present a conceptual framework to explain the possible associations and complex mechanisms underlying green space and healthcare outcomes. The framework differs from existing green space and health models by including upstream factors related to healthcare access (i.e., rurality and socioeconomic status), which may flip the direction of associations. Additional research with lower risks of bias is necessary to validate this framework and better understand the potential for green space to reduce healthcare prescriptions and expenditures.

RESUMEN Objective. The misuse of prescription psychotropic drugs is a major health problem.

OBJECTIVE: To evaluate and summarize the available scientific evidence regarding antibiotic prescription protocols in periodontal and dental implant procedures.
METHODS: A bibliographic search was conducted in PubMed, ScienceDirect, Scielo, Cochrane Library, EBSCOhost and Google Scholar up to February 2023. Manual and electronic searches were conducted, including publications in English. Medical Subject Headings (MeSH), free text terms and Boolean operators were used.
RESULTS: Antibiotic prescription protocols have been restricted due to antimicrobial resistance. While for certain clinical circumstances there are guidelines with clear and unanimous criteria for appropriate antibiotic use, for other conditions evidence showed an insufficiency of available literature and the persistence of crucial issues where no consensus has been reached.
CONCLUSIONS: This mini-review summarizes the most up-to-date recommendations regarding the prescription of antibiotics in periodontal and dental implant procedures in order to guide evidence-based decision-making.

BACKGROUND: To describe pediatric Produce Prescription (PRx) interventions and their study designs, outcomes, and opportunities for future research.
METHODS: A scoping review framework was used to describe PRx interventions published between January 2000 and September 2023. Articles from online databases were uploaded into Covidence. Data on study characteristics, outcomes of interest (health, food insecurity (FI), nutritional and culinary efficacy, and fruit and vegetable (F/V) consumption), and feasibility were extracted. The Mixed Methods Appraisal Tool (MMAT) was used for quality assessment.
RESULTS: 19 articles met inclusion criteria. Ten studies were quantitative, five were qualitative, and four used mixed-methods. Interventions included food vouchers (n = 14) or food box/pantries (n = 5). Four studies allowed food items in addition to F/Vs. Six studies measured changes in FI and five reported a statistically significant decrease. Seven studies measured changes in F/V consumption and five reported a statistically significant increase. One study reported a statistically significant reduction in child BMI z-score. Most studies reported high feasibility. Few studies used high-quality methods.
CONCLUSIONS: Pediatric PRx interventions show promising potential to reduce FI and improve diet quality and health-related outcomes. Future studies should utilize rigorous study designs and validated assessment tools to understand the impact of pediatric PRx on health.
CONCLUSIONS: This work offers a summary of programmatic outcomes including retention, redemption, incentives, nutrition education, study design and quality limitations to help inform future work. We found positive impacts of pediatric produce prescriptions (PRx) on FI, F/V consumption, and nutritional knowledge and culinary skills. More high-quality, rigorous studies are needed to understand the best delivery and design of PRx and their impact on child behavior and health outcomes. This work provides support for the need for rigorous studies and the potential for PRx to play a role in multi-pronged strategies that address pediatric FI and diet-related disease.

BACKGROUND: Physical activity referral schemes (PARS) are complex multicomponent interventions that represent a promising healthcare-based concept for physical activity (PA) promotion. This systematic review and narrative synthesis aimed to identify the constitutive components of PARS and provide an overview of their effectiveness.
METHODS: Following a published protocol, we conducted a systematic search of PubMed, Scopus, Web of Science, CINAHL, ScienceDirect, SpringerLink, HTA, Wiley Online Library, SAGE Journals, Taylor & Francis, Google Scholar, OpenGrey, and CORE from 1990 to January 2023. We included experimental, quasi-experimental, and observational studies that targeted adults participating in PARS and reported PA outcomes, scheme uptake, or adherence rates. We performed an intervention components analysis using the PARS taxonomy to identify scheme components and extracted data related to uptake, adherence, and PA behavior change. We combined these to provide a narrative summary of PARS effectiveness.
RESULTS: We included 57 studies reporting on 36 PARS models from twelve countries. We identified 19 PARS components: a patient-centered approach, individualized content, behavior change theory and techniques, screening, brief advice, written materials, a written prescription, referral, baseline and exit consultation, counselling support session(s), PA sessions, education session(s), action for non-attendance, structured follow-up, a PA network, feedback for the referrer, and exit strategies/routes. The PARS models contained a mean of 7 ± 2.9 components (range = 2-13). Forty-five studies reported PA outcome data, 28 reported uptake, and 34 reported adherence rates. Of these, approximately two-thirds of studies reported a positive effect on participant PA levels, with a wide range of uptake (5.7-100.0%) and adherence rates (8.5-95.0%).
CONCLUSIONS: Physical activity referral scheme components are an important source of complexity. Despite the heterogeneous nature of scheme designs, our synthesis was able to identify 19 components. Further research is required to determine the influence of these components on PARS uptake, adherence, and PA behavior change. To facilitate this, researchers and scheme providers must report PARS designs in more detail. Process evaluations are also needed to examine implementation and increase our understanding of what components lead to which outcomes. This will facilitate future comparisons between PARS and enable the development of models to maximize impact.

BACKGROUND: Medication prescription is a complex process that could benefit from current research and development in machine learning through decision support systems. Particularly pediatricians are forced to prescribe medications \"off-label\" as children are still underrepresented in clinical studies, which leads to a high risk of an incorrect dose and adverse drug effects.
METHODS: PubMed, IEEE Xplore and PROSPERO were searched for relevant studies that developed and evaluated well-performing machine learning algorithms following the PRISMA statement. Quality assessment was conducted in accordance with the IJMEDI checklist. Identified studies were reviewed in detail, including the required variables for predicting the correct dose, especially of pediatric medication prescription.
RESULTS: The search identified 656 studies, of which 64 were reviewed in detail and 36 met the inclusion criteria. According to the IJMEDI checklist, five studies were considered to be of high quality. 19 of the 36 studies dealt with the active substance warfarin. Overall, machine learning algorithms based on decision trees or regression methods performed superior regarding their predictive power than algorithms based on neural networks, support vector machines or other methods. The use of ensemble methods like bagging or boosting generally enhanced the accuracy of the dose predictions. The required input and output variables of the algorithms were considerably heterogeneous and differ strongly among the respective substance.
CONCLUSIONS: By using machine learning algorithms, the prescription process could be simplified and dosing correctness could be enhanced. Despite the heterogenous results among the different substances and cases and the lack of pediatric use cases, the identified approaches and required variables can serve as an excellent starting point for further development of algorithms predicting drug doses, particularly for children. Especially the combination of physiologically-based pharmacokinetic models with machine learning algorithms represents a great opportunity to enhance the predictive power and accuracy of the developed algorithms.

There is currently no standard of care for pharmacological treatment of amphetamine-type stimulant (ATS) use disorder (ATSUD). This systematic review with meta-analysis (PROSPERO CRD42022354492) aimed to pool results from randomized placebo-controlled trials (RCTs) to evaluate efficacy and safety of prescription psychostimulants (PPs) for ATSUD.
Major indexing sources and trial registries were searched to include records published before 29 August 2022. Eligible studies were RCTs evaluating efficacy and safety of PPs for ATSUD. Risk of bias (RoB) was assessed using the Cochrane RoB 2 tool. Risk ratio (RR) and risk difference were calculated for random-effect meta-analysis of dichotomous variables. Mean difference and standardized mean difference (SMD) were calculated for random-effect meta-analysis of continuous variables.
Ten RCTs (n = 561 participants) were included in the meta-analysis. Trials studied methylphenidate (n = 7), with daily doses of 54-180 mg, and dextroamphetamine (n = 3), with daily doses of 60-110 mg, for 2-24 weeks. PPs significantly decreased end-point craving [SMD  -0.29; 95% confidence interval (CI) = -0.55, -0.03], while such a decrease did not reach statistical significance for ATS use, as evaluated by urine analysis (UA) (RR = 0.93; 95% CI = 0.85-1.01). No effect was observed for self-reported ATS use, retention in treatment, dropout following adverse events, early-stage craving, withdrawal and depressive symptoms. In a sensitivity analysis, treatment was associated with a significant reduction in UA positive for ATS (RR = 0.89; 95% CI = 0.79-0.99) after removing studies with a high risk of bias. In subgroup analyses, methylphenidate and high doses of PPs were negatively associated with ATS use by UA, while higher doses of PPs and treatment duration (≥ 20 weeks) were positively associated with longer retention.
Among individuals with amphetamine-type stimulant use disorder, treatment with prescription psychostimulants may decrease ATS use and craving. While effect size is limited, it may increase with a higher dosage of medications.