Clinical and pharmacokinetics overview of intranasal administration of fentanyl.

Due to the presence of large surfaces and high blood supply, drug delivery through the nasal route of administration is the appropriate route to administrate drugs with rapid onsets of action. Bypassing first-pass metabolism can increase drug bioavailability. The physicochemical properties of fentanyl led to a need to develop formulations for delivery by multiple routes. Several approved inter-nasal fentanyl products in Europe and the USA have been used in prehospital and emergency departments to treat chronic cancer pain and used to treat severe acute abdominal and flank pain. Analgesia durations and onsets were not significantly different between intranasal and intravenous fentanyl in patients with cancer breakthrough pain and were well-tolerated in the long term. Intranasal Fentanyl (INF) at a 50 µg/ml concentration decreased renal colic pain to the lowest level in 30 min. Possible adverse effects specific to INF are epistaxis, nasal wall ulcer, rhinorrhea, throat irritation, dysgeusia, nausea, and vomiting. However, there is limited available literature about the serious adverse effects of INF in adults and children. Intranasal Fentanyl Spray (INFS) results in significantly higher plasma concentrations and has a lower Tmax than oral transmucosal formulation, and the bioavailability of fentanyl in intranasal formulations is very high (89 %), particularly in pectin-containing formulations such as PecFent and Lazanda.

The role of decision tree and machine learning models for outcome prediction of bupropion exposure: A nationwide analysis of more than 14 000 patients in the United States.

Bupropion is widely used for the treatment of major depressive disorder and for smoking cessation assistance. Unfortunately, there are no practical systems to assist clinicians or poison centres in predicting outcomes based on clinical features. Hence, the purpose of this study was to use a decision tree approach to inform early diagnosis of outcomes secondary to bupropion overdose. This study utilized a dataset from the National Poison Data System, a 6-year retrospective cohort study on toxic exposures and patient outcomes. A machine learning algorithm (decision tree) was applied to the dataset using the sci-kit-learn library in Python. Shapley Additive exPlanations (SHAP) were used as an explainable method. Comparative analysis was performed using random forest (RF), Gradient Boosting classification, eXtreme Gradient Boosting, Light Gradient Boosting (LGM) and voting ensembling. ROC curve and precision-recall curve were used to analyse the performance of each model. LGM and RF demonstrated the highest performance to predict outcome of bupropion exposure. Multiple seizures, conduction disturbance, intentional exposure, and confusion were the most influential factors to predict the outcome of bupropion exposure. Coma and seizure, including single, multiple and status, were the most important factors to predict major outcomes.

Classification of acute poisoning exposures with machine learning models derived from the National Poison Data System.

The primary aim of this pilot study was to develop a machine learning algorithm to predict and distinguish eight poisoning agents based on clinical symptoms. Data were used from the National Poison Data System from 2014 to 2018, for patients 0-89 years old with single-agent exposure to eight drugs or drug classes (acetaminophen, aspirin, benzodiazepines, bupropion, calcium channel blockers, diphenhydramine, lithium and sulfonylureas). Four classifier prediction models were applied to the data: logistic regression, LightGBM, XGBoost, and CatBoost. There were 201 031 cases used to develop and test the algorithms. Among the four models, accuracy ranged 77%-80%, with precision and F1 scores of 76%-80% and recall of 77%-78%. Overall specificity was 92% for all models. Accuracy was highest for identifying sulfonylureas, acetaminophen, benzodiazepines and diphenhydramine poisoning. F1 scores were highest for correctly classifying sulfonylureas, acetaminophen and benzodiazepine poisonings. Recall was highest for sulfonylureas, acetaminophen, and benzodiazepines, and lowest for bupropion. Specificity was >99% for models of sulfonylureas, calcium channel blockers, lithium and aspirin. For single-agent poisoning cases among the eight possible exposures, machine learning models based on clinical signs and symptoms moderately predicted the causal agent. CatBoost and LightGBM classifier models had the highest performance of those tested.

Risk assessment of elevated blood lead concentrations in the adult population using a decision tree approach.

Lead is a common toxin which has detrimental effects on human health. Since lead poisoning is not associated with specific symptoms, diagnosing elevated blood lead concentration (EBLC) should be taken seriously. The purpose of this study was to propose a prediction model for EBLC based on demographic and clinical variables through a decision-tree model.In this cross-sectional study, 630 subjects (above 40 years old) living in South Khorasan Province, Iran in 2017 were selected via cluster random sampling method. From among the 630 participants who met the inclusion criteria, 70% (N = 456) were chosen randomly to achieve a set for developing the decision tree and multiple logistic regression (MLR). The other 30% (N = 174) were placed in a holdout sample to examine the function of the decision tree and MLR models. The predictive performance for various models was studied using the Receiver Operating Characteristic (ROC) curve.In the decision tree model, the parameters of hematocrit (HCT), White Blood Cell (WBC), Red Blood Cell (RBC), Mean corpuscular volume (MCV), creatinine concentration, abdominal pain, gender, route of administration, and history of cigarette smoking were the most critical factors in identifying people at risk of EBLC. The HCT concentration was the most critical variable, which was chosen as the root node of the tree. Based on the ROC curve, the decision tree model had better predictive accuracy than the logistic regression model.Our results indicated that the decision tree model offers far greater predictive precision than the logistic regression model. Doctors should pay more attention to some factors including the hematological parameters such as MCV, RBC, HCT, leukocytosis, creatinine levels, male sex, history of cigarette, and opium consumption for the screening of EBLCs.

Opium poisoning following self-medication of radiation-induced dermatitis with topical use of opium latex traditional extract; a teaching case.

Despite Radiation-induced dermatitis is a self-limiting complication, it can be complicated if inappropriate self-medications have been used such as opium latex traditional extract.

A systematic review of clinical and laboratory findings of lead poisoning: lessons from case reports.

Lead is one of the most toxic heavy metals in the environment. The present review aimed to highlight hazardous pollution sources, management, and review symptoms of lead poisonings in various parts of the world. The present study summarized the information available from case reports and case series studies from 2009 to March 2020 on the lead pollution sources and clinical symptoms. All are along with detoxification methods in infants, children, and adults. Our literature compilation includes results from 126 studies on lead poisoning. We found that traditional medication, occupational exposure, and substance abuse are as common as previously reported sources of lead exposure for children and adults. Ayurvedic medications and gunshot wounds have been identified as the most common source of exposure in the United States. However, opium and occupational exposure to the batteries were primarily seen in Iran and India. Furthermore, neurological, gastrointestinal, and hematological disorders were the most frequently occurring symptoms in lead-poisoned patients. As for therapeutic strategies, our findings confirm the safety and efficacy of chelating agents, even for infants. Our results suggest that treatment with chelating agents combined with the prevention of environmental exposure may be an excellent strategy to reduce the rate of lead poisoning. Besides, more clinical studies and long-term follow-ups are necessary to address all questions about lead poisoning management.

Association between trace element concentrations in cancerous and non-cancerous tissues with the risk of gastrointestinal cancers in Eastern Iran.

This study was conducted to investigate the association between trace elements including cadmium (Cd), chromium (Cr), cobalt (Co), copper (Cu), iron (Fe), lead (Pb), nickel (Ni), selenium (Se), zinc (Zn), and arsenic (As) in gastrointestinal cancer tissue and non-cancerous tissue (suspected gastrointestinal cancer) in Eastern Iran. The samples of 63 gastrointestinal cancers (stomach (n = 20), esophageal (n = 19), and colorectal (n = 24) along with 63 controls in South Khorasan Province, Iran, were collected and analyzed using ICP-MS (Agilent 7900). Our results indicated that the concentrations of Co (1.3 ± 0.8, 1.3 ± 0.8 µg kg-1), Cr (8.1 ± 7.3, 11.0 ± 14.8 µg kg-1), Ni (29.0 ± 20.1, 39.5 ± 30.2 µg kg-1), Pb (6.9 ± 4.0, 6.1 ± 4.6 µg kg-1), and Zn (867.6 ± 159.1, 935.6 ± 196.2 µg kg-1) were significantly higher among esophagus and colon cancer cases than controls (p < 0.05). Similarly, stomach cancer cases showed higher Co, Cr, Ni, Se, and Zn and lower Cu concentrations than their controls (p < 0.05). Moreover, the Spearman correlation between metals revealed a mostly low to moderate correlation between metals. Our finding illustrated that the significant risk differences of Cr, Ni, Pb, Se, and Zn metals on esophagus cancer when considered the single predictor unadjusted for other metals and covariates RD (95% CI) - Cr: -0.274 (-0.463, -0.086), Ni: -0.288 (-0.457, -0.118), Pb: -0.171 (-0.463, -0.086), Se: -0.243 (-0.434, -0.051), and Zn: -0.094 (-0.143, -0.045) respectively. This study suggests that the trace element's exposure may be associated with gastrointestinal cancer risk. Additional studies are needed to elucidate the mechanisms underlying trace element carcinogenesis further.

Comparison of serum concentrations of essential and toxic elements between cigarette smokers and non-smokers.

The habit of smoking remains a severe public health problem. Heavy metals in cigarettes and mainstream smoke have been extensively investigated. This study has attempted to determine the essential and toxic elements in a biological sample of smokers and non-smokers. In this case-control study, 100 smokers were compared with 100 age- and gender-matched non-smoker healthy subjects. The smoker group was selected via the snowball sampling method. Serum concentrations of trace elements were determined using ICP-MS (Agilent 7900) for subsequent analysis. Data were analyzed by SPSS software using t test or Mann-Whitney U test along with chi-square test at the significant level of less than 0.05. The results of this study indicated that subjects in the smoker group compared with non-smokers had a significantly higher median of manganese (Mn) (11.5 [5.7-17.2] versus 6 [4-12.5] (µg/L), p = 0.003), copper (Cu) (40 [34-47.2] versus 34 [29-42] (µg/L), p = 0.005), arsenic (As) (39 [9-49.2] versus 12 [5-42] (µg/L), p = 0.007), thallium (Tl) (0.54 [0.27-0.68] versus 0.34 [0.11-0.66] (µg/L), p = 0.04), and lower iron (Fe) concentration (218 [156-508] versus 429 [192-573] (µg/L), p = 0.03). This study found that the concentrations of Mn, Cu, As, and TI in cigarette smokers were significantly higher than those obtained from the control group. These results can provide health policymakers with the necessary information to take public health measures towards preventive interventions in the community, though further studies are still warranted.

Assessing Heavy Metal Burden Among Cigarette Smokers and Non-smoking Individuals in Iran: Cluster Analysis and Principal Component Analysis.

Smoking is one of the major causes of mortality and numerous diseases, both directly and indirectly. The role of smoking as a significant risk factor is already known in several human diseases such as cardiovascular diseases, lung cancer, and chronic obstructive pulmonary disease. We aimed to compare the toxicity of heavy metal levels in the two groups of cigarette smokers and non-smokers in Birjand during 2018. In this case-control study, 70 smokers were enrolled as the case group and 70 individuals with no history of smoking as control group. The cases were selected from among those who smoked 10 cigarettes per day without a drug use history. Heavy metal concentrations were collected in participants' serum samples. Cluster analysis and principal components analysis were employed to compare heavy metal toxicity between the groups. The duration of smoking and the number of cigarettes consumed per day were 14.36 ± 12.75 years and 11.32 ± 7.23, respectively. The concentration of thallium (Ti), arsenic (As), manganese (Mn), and copper (Cu) was significantly higher in the smoker group than that in the non-smoker group (p < 0.05). Lead (Pb), cadmium (Cd), and cobalt (Co) are among the most important metals accumulated in smokers' blood, and 21.6% of our study's total data was associated with them. Cluster analysis in the smoker group, including A1 (Cd), A2 (Co, Pb), B1 (Ti), B2 (mercury (Hg), As, chromium (Cr), iron (Fe), nickel (Ni), and zinc (Zn)) and C (Mn and Cu). In our study, cluster analysis showed a different grouping of elements in patient and control groups. Lead, cadmium, and cobalt were the most critical metals accumulated in the blood of cigarette smokers.

N-acetylcysteine dose-dependently improves the analgesic effect of acetaminophen on the rat hot plate test.

BACKGROUND: Acetaminophen (APAP) induced hepatotoxicity is a clinically important problem. Up to now, interventive therapy with n-acetylcysteine (NAC) has been considered as a gold-standard treatment for APAP overdose. However, no study has focused on the efficacy of these drugs' concurrent administration on probable enhancing therapeutic outcomes. Thus, this study was aimed to investigate the analgesic effect of co-administration of NAC and acetaminophen in male rats. The NAC-APAP drug formulation may demonstrate the stranger antinociceptive effect. METHODS: Forty-eight male Sprague-Dawley rats (12-14 weeks) randomly divided into six equal groups; control, APAP (received 300 mg/kg APAP), NAC (received 600 mg/kg NAC) and APAP+ NAC groups that received simultaneously 300 mg/kg APAP with 200-600 mg/kg NAC (AN200, AN400, AN600). All administrations were done orally for once. The antinociceptive effect was recorded by measurement of latency period on a hot plate in 30, 60, and 90 min after administrations. RESULTS: The results showed that NAC's concurrent administration with APAP, dose-dependently increased APAP analgesic effects (p< 0.0001). Moreover, NAC treatment exhibited an antinociceptive effect in 60 and 90 min, per se. The treatments had no adverse effect on liver enzymes and oxidative stress. CONCLUSION: Co-administration of NAC with APAP can improve the antinociceptive effect of APAP. It is suggested that this compound can enhance analgesic effects of APAP and eventually lead to a reduction in acetaminophen dose. Further studies are needed to evaluate the molecular mechanism of this hyper analgesic effect.

Opium use and cardiovascular diseases: a systematic review and meta-analysis.

The effects of opium on cardiovascular diseases (CVDs) have been extensively studied. However, there are few studies that summarize this research comprehensively; thus, this systematic review and meta-analysis is a collection of the newest information combined with previous findings to furthermore illuminate the effects of opium on CVDs. In this systematic review, all observational studies were systematically searched using the main international databases such as PubMed/Medline, Web of Sciences, and Scopus until October 2018. After the quality assessment of the articles, the fixed or random model meta-analysis was used to pool the results. I-square test was used to assess the heterogeneity of the studies. Overall, 41 studies were identified. Based on the random model, the pooled odds ratio (OR) (95% confidence interval (CI)) of opium use and coronary artery diseases (CAD) was estimated at 2.75 (95% CI = 2.04-3.75; I2=47%). The pooled OR of opium use and CVD in-hospital mortality was not statistically significant (OR: 1.44, 95% CI = 0.88-2.36, I2 = 51%). In the stratified analysis, in the patients who had undergone heart surgery, the average of ejection fraction (EF) in the opium users was significantly lower than those not using opium (mean differences: -3.06, CI 95% = -4.40 to -1.71, I2 = 60%) but in the patients with acute myocardial infarction undergoing angiography, the average EF was not significantly different in the opium users compared to non-users (mean difference: 0.30, CI: -0. 55 to 1.15). The results of this meta-analysis revealed that opium might be a risk factor for CAD and EF but not in-hospital mortality.

Effects of bentonite nanoparticles inhalation on lung tissue and blood antioxidant indices in a rat model.

Bentonite is an inorganic clay material that is often easily dispersed as fine particles by air and water circulation, and most people are exposed to different concentrations of bentonite particles. Therefore, the inhaled effects of bentonite nanoparticles (BNPs) were studied in Wistar rats. Seventy-five rats were divided into five groups of 15: four exposure groups (0.1, 0.5, 2, and 10 mg/m3 of BNPs) and one control group. The rats were exposed for 30, 60, and 90 days to BNPs for 5 days a week (6 h/day) in whole-body inhalation chambers. Blood samples were collected to measure the levels of antioxidant activity of the contents such as total antioxidant capacity (TAC) and malondialdehyde (MDA). X-ray diffraction and scanning electron microscopy were used to identify nanoparticles. The results showed no significant difference in the effect of nanoparticles on levels of TAC and MDA in the studied groups based on the concentrations of nanoparticles. However, the level of MDA increased significantly with extending exposure time; there was a significant increase in the level of MDA content 90 days postexposure compared to 30 days postexposure at concentrations of 0.5, 2, and 10 mg/m3. Histopathological examination showed that inhalation exposure of rats to BNPs led to different histopathologic responses in the lung tissue, such as inflammatory infiltration, granulomatous inflammation, acute neutrophilic reaction in the early stages, and lung fibrosis. At the lowest concentration, BNPs have low or no toxicity, and inhalation of these nanoparticles at low concentrations does not affect the levels of MDA and TAC content. However, increased concentration and exposure time caused correspondingly greater increases in MDA and more damage to lung tissue.

Urinary Metal Levels with Relation to Age, Occupation, and Smoking Habits of Male Inhabitants of Eastern Iran.

In low-income and middle-income countries such as Iran, smoking is becoming increasingly popular, especially among young people. This has led to additional exposure to a variety of substances, including metals which may exert a toxic influence and lead to severe diseases. In order to evaluate the influence of smoking on metal concentrations, a case-control study of levels of metal in urine was carried out in smokers (n = 64) and non-smokers (n = 35) from the city of Birjand (Iran). They were divided according to their age and socioeconomic status. Concentrations of cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), iron (Fe), nickel (Ni), lead (Pb), and zinc (Zn) were measured using ET-AAS. We found higher concentrations of Cd (0.03 vs. 0.12 µg/L), Co (0.6 vs. 1.22 µg/L), and Cr (14.00 vs. 18.17 µg/L) in the urine of smokers. Age and occupation are factors that also influence the levels of metals. Young smokers demonstrate higher Cd and Pb levels than other age groups. It would also appear that public sector workers and self-employed are the sectors most susceptible to high levels of metals.

Thyroid dysfunction: how concentration of toxic and essential elements contribute to risk of hypothyroidism, hyperthyroidism, and thyroid cancer.

This study was conducted to evaluate the levels of trace metals Fe, Cr, Co, Cd, Cu, Ni, Hg, Zn, and Pb in healthy individuals and patients with thyroid disease (hyperthyroidism, hypothyroidism, and cancerous). The serum levels of 110 participants living in Birjand City, east of Iran, were collected and analyzed using ICP-MS (Agilent 7900). Results showed that the concentration levels of Cr, Co, Zn, Cd, and Pb were significantly higher at case-patients (p < 0.05), but the levels of Fe, Ni, and Hg were similar between healthy and patient subjects (p > 0.05). In patients with high or low thyroid activity, strong mutual correlations between Cr, Ni, and Fe were noticeable (p < 0.05). In hypothyroid patients, no significant correlation between Zn and Hg, Co, and Cd was found, but Zn was moderately and positively correlated with other trace metals. The moderate negative correlations between Cd-Cr (p = - 0.46) and Cd-Fe (p = - 0.43) were also observed. Logistic regression analysis showed that the effect of Cr, Co, Pb, Cu, Zn, and Cd was significant in developing hyperthyroidism and hypothyroidism; whereas, in patients with thyroid cancer, the effect of Cr, Cd, and Pb was found to be significant. In conclusion, our findings suggest that toxic metals such as Pb, Cd, and Cr can increase the risk of developing hypothyroidism and thyroid cancer, but more research is needed to evaluate the potential toxicity mechanisms of Pb, Cd, and Cr.

Blood lead level risk factors and reference value derivation in a cross-sectional study of potentially lead-exposed workers in Iran.

OBJECTIVES: This exploratory investigation aimed to measure blood lead levels and associated risk factors in exposed workers in Iran, and to derive appropriate reference values for blood lead in this population as a means of epidemiological comparison. DESIGN: Cross-sectional. SETTING: Manufacturing plants with potential lead exposure in Southern Khorasan Province, Iran. PARTICIPANTS: The study included 630 workers, selected through stratified random sampling. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary measures in this exploratory investigation were venous blood lead concentration (BLC) and associated risk factors of age, gender, work experience, cigarette smoking and history of opium use. The secondary measures were symptoms associated with lead toxicity. Data analyses were conducted using Student's t-test, Mann-Whitney U test, one-way analysis of variance, Kruskal-Wallis test, Spearman correlation coefficient and regression analysis. RESULTS: Mean and median BLCs were 6.5±8.1 µg/dL and 3.9 µg/dL (IQR: 2.9-5.8), respectively. Of the subjects, 85 (13.5%) had BLC ≥10 µg/dL. The derived reference BLC value in this study was 30 µg/dL for men and 14 µg/dL for women. Increasing work experience and age were associated with BLC >10 µg/dL. Radiator manufacturers were up to 12.9 times (95% CI 4.6 to 35, p<0.005) more likely than painters to have BLC >10 µg/dL. Most subjects reported multiple symptoms. CONCLUSIONS: The mean BLC was above the maximum recommended concentration. There was a significant relationship between higher BLC and age or working in a printing factory or radiator manufacturing. These findings can direct efforts towards reducing occupational lead exposure.

Cardiogenic Shock Due to Aluminum Phosphide Poisoning Treated with Intra-aortic Balloon Pump: A Report of Two Cases.

The mortality rate from aluminum phosphide (AlP) poisoning is as high as 70-100%, with refractory hypotension and severe metabolic acidosis being the two most common presentations in this poisoning. As this poisoning has no specific antidote, treatments revolve around supportive care. Cardiogenic shock created by toxic myocarditis is considered the main cause of mortality in these patients. Meanwhile, the intra-aortic balloon pump (IABP) has been suggested for the treatment of cardiogenic shock. This article reports the successful treatment of cardiogenic shock caused by AlP poisoning in a 17-year-old man and a 21-year-old woman using the IABP procedure.

Increasing the Risk of Stroke by Opium Addiction.

INTRODUCTION: Stroke is among the leading causes of mortality and morbidity in the world. Besides the identified risk factor, Ischemic stroke evidence show drug use develops or exacerbates the atherosclerotic process. The current study aimed at comparing cerebrovascular ultrasounds' changes in addicted and nonaddicted people who developed ischemic stroke. METHODS: In the current cross-sectional study, a total of 133 patients with ischemic stroke who were admitted to Vali-Asr hospital from June 2016 to April 2017 were enrolled. For obtaining the quantitative data, t test or Mann-Whitney test was employed to compare the addict or no-addict groups, as well as, categorical data testing was performed using chi-square test. Also, the multiple logistic regression was used for identifying the factors and the significance level was set at 5%. RESULTS: The current study was performed on 133 patients, among them 41 patients (30.8%) were opium addicted, and 92 patients (69.2%) were nonaddict. The mean [IQR] number of atherosclerotic plaques were significantly higher in opium addicted group in comparison with the nonaddicted group (3.0 [1.0-4.0] versus 1.5 [0.0-3.0], P = .008). The possibility of increasing the number of plaques in addicted patients was 1.42 times higher than the nonaddicted patients (odds ratio (95% confidence interval): 1.42 (1.11-1.81), P = .005). CONCLUSION: The findings demonstrated a significant difference in the vessel stenosis pattern between the addict and nonaddict ischemic stroke groups. To investigate the possible effects of opium use and its associated parameters, ie, dosage, duration of use, and the way of opium use on ischemic stroke, further studies are required.

Impact of chronic lead exposure on liver and kidney function and haematologic parameters.

BACKGROUND: Lead, one of the most widely used metals because of its beneficial physical properties, has been reported to adversely influence several different organs and organ systems. The aim of the present study was to examine the effect of lead exposure on liver and renal function and haematologic parameters. METHODS: This was a case-cohort study comparing adults with occupational, environmental or opium-related lead exposure with blood lead levels [BLL] >10 µg/dL (High blood lead level (HBLL) group and age- and gender-matched normal healthy individuals (Low blood lead level [LBLL] group with BLL <10 µg/dL). The complete blood count and concentrations of serum creatinine, urea, aspartate aminotransferase (AST), alanine aminotransferase (ALT) were recorded for subsequent investigation. RESULTS: The mean BLL was significantly higher in the HBLL than in the LBLL groups (51.36 ± 44.72 vs 4.17 ± 1.97 µg/dL). The Spearman's rho revealed a significant association between BLL and urea (r = 0.25, P < 0.001), creatinine (r = 0.16, P = 0.02), AST (r = 0.42, P < 0.001) and ALT (r = 0.27, P < 0.001). The median [IQR] serum urea (34 mg/dL [27-221]) vs (30 [27-36]), creatinine (0.9 mg/dL [0.8-1]) vs (0.8 [0.7-0.9]), ALT (25 mg/dL [16-49]) vs (22 [16-30]) and AST concentrations (29 mg/dL [20-42]) vs (20 [18-24]) were all significantly higher (P < 0.05) in the HBLL group compared to the LBLL group. The median [IQR] haemoglobin (12.6 g/dL [10.4-15.4]) vs (15.2 [14.6-16.3] and haematocrit (36.9% [31-44.8]) vs (45.6 [43.6-48.2]) were both significantly lower (P < 0.001) in the HBLL group than in the LBLL group. CONCLUSION: The results indicated that people with chronic lead exposure with BLLs greater than 10 µg/dL are at risk of renal, liver and haematologic impairments.

Examining of Thallium in Cigarette Smokers.

Smoking is one of the sources of thallium which is considered as a toxic heavy metal. The aim of this study was to determine urinary thallium levels and related variables in smokers, compared to a control group. The study was conducted on 56 participants who had smoked continuously during the year before they were referred to Kashan Smoking Cessation Clinic. Fifty-three nonsmokers who were family members or friends of the smokers were selected as the control group. Urinary thallium was measured in both groups (n = 109) using atomic absorption spectrophotometry. The mean value (with SD) for urinary thallium in the smokers (10.16 ± 1.82 µg/L) was significantly higher than in the control group (2.39 ± 0.63 µg/L). There was a significant relationship between smoking duration and urinary thallium levels (P = 0.003). In a subgroup of smokers who was addicted to opium and opium residues (n = 9), the mean level of thallium (37.5 ± 13.09 µg/L) was significantly higher than in the other smokers (4.93 ± 4.45; P = 0.001). Multiple regression analysis showed opioid abuse, insomnia, and chronic obstructive pulmonary disease (COPD), together were strong predictors of urinary thallium levels in smokers. There was no significant difference in thallium level in hookah smokers (P = 0.299) or in those with COPD compared to other smokers (P = 0.375). Urinary thallium levels of smokers with clinical signs of depression, sleep disorders, memory loss, and sweating were higher than those of smokers without these signs. Since thallium, as other toxic metals is accumulated in the body, and cigarette smoking also involves carcinogenic exposures and health hazards for passively exposed people, the need for cigarette control policies is emphasized.