| Literature DB >> 36101572 |
Salah Al-Waheeb1, Noura Al-Omair2, Assad Mahdi2.
Abstract
Background: Kuwait is an Arabian Gulf couFntry with a population of around 4.4 million as of 2020. In recent years, government based news agencies have commonly exposed drug smuggling plots that were foiled by local authorities. We attempted to study the patterns of drug overdose deaths in Kuwait, which we believe is a good method to address the effect of illicit drug use in the country. Methodology: All cases that were signed out as drug overdose death were collected from the General department of criminal evidence. The relationship between demographic factors and drug types were analyzed using various statistical methodologies.Entities:
Keywords: Drug overdose; Kuwait; Public health
Year: 2021 PMID: 36101572 PMCID: PMC9461498 DOI: 10.1016/j.puhip.2021.100181
Source DB: PubMed Journal: Public Health Pract (Oxf) ISSN: 2666-5352
Fig. 1Governorates of the State of Kuwait.
Asima (capitol) = Kuwait city.
Fig. 2Drugs identified by blood toxicological screening.
Characteristics of the study population.
| F | % | ||
|---|---|---|---|
| 2014 | 63 | 18.3 | |
| 2015 | 63 | 18.3 | |
| 2016 | 33 | 9.6 | |
| 2017 | 68 | 19.8 | |
| 2018 | 117 | 34 | |
| Female | 9 | 2.6 | |
| Male | 335 | 97.4 | |
| Hawally | 108 | 31.4 | |
| Ahmadi | 59 | 17.2 | |
| Farwaniyah | 59 | 17.2 | |
| Kuwait City | 43 | 12.5 | |
| Mubarak Al Kabeer | 39 | 11.3 | |
| Jahra | 36 | 10.5 | |
| Morphine | 275 | 79.9 | |
| Benzodiazepines | 148 | 43 | |
| Amphetamine | 80 | 23.3 | |
| Methamphetamine | 80 | 23.3 | |
| Cannabis | 49 | 14.2 | |
| Spice | 13 | 3.8 | |
| Tramadol | 8 | 2.3 | |
| Fentanyl | 2 | 0.6 | |
| Cocaine | 2 | 0.6 | |
| Alcohol | 1 | 0.3 | |
| Heroin | 1 | 0.3 |
Percentage of drug combinations in the study population.
| Combination of Drugs | ||
|---|---|---|
| Morphine | 95 | 27.6 |
| Morphine/Benzodiazepines | 71 | 20.6 |
| Morphine/Amphetamine | 18 | 5.2 |
| Morphine/Benzodiazepines/Methamphetamine | 18 | 5.2 |
| Morphine/Cannabis/Benzodiazepines | 12 | 3.5 |
| Amphetamine/Methamphetamine | 11 | 3.2 |
| Morphine/Methamphetamine | 11 | 3.2 |
| Methamphetamine | 9 | 2.6 |
| Morphine/Benzodiazepines/Amphetamine/Methamphetamine | 9 | 2.6 |
| Morphine/Benzodiazepines/Amphetamine | 8 | 2.3 |
| Spice | 8 | 2.3 |
| Amphetamine | 7 | 2 |
| Morphine/Cannabis | 7 | 2 |
| Morphine/Cannabis/Amphetamine | 5 | 1.5 |
| Morphine/Cannabis/Benzodiazepines/Amphetamine | 5 | 1.5 |
| Benzodiazepines/Methamphetamine | 4 | 1.2 |
| Morphine/Amphetamine/Methamphetamine | 4 | 1.2 |
| Benzodiazepines | 3 | 0.9 |
| Benzodiazepines/Cannabis | 3 | 0.9 |
| Cannabis/Amphetamine | 3 | 0.9 |
| Morphine/Benzodiazepines/Tramadol | 3 | 0.9 |
| Benzodiazepines/Amphetamine | 2 | 0.6 |
| Benzodiazepines/Spice | 2 | 0.6 |
| Benzodiazepines/Tramadol | 2 | 0.6 |
| Cannabis/Amphetamine/Methamphetamine | 2 | 0.6 |
| Cannabis/Methamphetamine | 2 | 0.6 |
| Cocaine | 2 | 0.6 |
| Morphine/Cannabis/Amphetamine/Methamphetamine | 2 | 0.6 |
| Amphetamine/Spice | 1 | 0.3 |
| Benzodiazepines/Amphetamine/Methamphetamine | 1 | 0.3 |
| Benzodiazepines/Cannabis/Amphetamine | 1 | 0.3 |
| Benzodiazepines/Cannabis/Spice | 1 | 0.3 |
| Cannabis | 1 | 0.3 |
| Cannabis/Alcohol | 1 | 0.3 |
| Cannabis/Fentanyl | 1 | 0.3 |
| Methamphetamine/Fentanyl | 1 | 0.3 |
| Methamphetamine/Tramadol | 1 | 0.3 |
| Morphine/Benzodiazepines/Methamphetamine/Tramadol | 1 | 0.3 |
| Morphine/Cannabis/Benzodiazepines/Amphetamine/Methamphetamine | 1 | 0.3 |
| Morphine/Cannabis/Benzodiazepines/Methamphetamine | 1 | 0.3 |
| Morphine/Cannabis/Methamphetamine | 1 | 0.3 |
| Morphine/Heroin/Methamphetamine | 1 | 0.3 |
| Morphine/Spice | 1 | 0.3 |
| Morphine/Tramadol | 1 | 0.3 |
Spearman Rho Correlations for Drug Type combinations.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| – | ||||||||||||
| -.107* | ||||||||||||
| -.205** | .150** | |||||||||||
| -.257** | −0.047 | .186** | ||||||||||
| -.358** | −0.037 | −0.073 | -.109* | |||||||||
| .157** | 0.049 | −0.103 | 0.008 | −0.08 | ||||||||
| −0.067 | −0.063 | −0.085 | 0.006 | −0.031 | 0.1 | |||||||
| -.153** | −0.031 | −0.042 | −0.042 | −0.015 | −0.066 | −0.012 | ||||||
| 0.027 | −0.022 | −0.03 | 0.098 | −0.011 | −0.047 | −0.008 | −0.004 | |||||
| -.108* | .132* | −0.03 | −0.03 | −0.011 | −0.047 | −0.008 | −0.004 | −0.003 | ||||
| -.153** | 0.078 | −0.042 | 0.048 | −0.015 | −0.066 | −0.012 | −0.006 | −0.004 | −0.004 | |||
| .143** | .404** | .405** | .399** | -.107* | .630** | .132* | −0.09 | 0.072 | 0.014 | 0.02 |
* Correlation is significant at the 0.05 level (2-tailed).
** Correlation is significant at the 0.01 level (2-tailed).
Drug use by year.
| Year | Used | Morphine | Amphetamine | Methamphetamine | Spice | Benzodiazepines | Tramadol | Cocaine | Heroin | Alcohol | Fentanyl | Cannabis | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 1 | 1.6 | 47 | 74.6 | 60 | 95.2 | 63 | 100 | 28 | 44.4 | 63 | 100 | 63 | 100 | 63 | 100 | 63 | 100 | 63 | 100 | 50 | 79.4 | |
| Yes | 62 | 98.4 | 16 | 25.4 | 3 | 4.8 | 0 | 0 | 35 | 55.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 20.6 | |
| No | 2 | 3.2 | 47 | 74.6 | 53 | 84.1 | 63 | 100 | 42 | 66.7 | 62 | 98.4 | 63 | 100 | 63 | 100 | 63 | 100 | 63 | 100 | 54 | 85.7 | |
| Yes | 61 | 96.8 | 16 | 25.4 | 10 | 15.9 | 0 | 0 | 21 | 33.3 | 1 | 1.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 14.3 | |
| No | 4 | 12.1 | 29 | 87.9 | 23 | 69.7 | 33 | 100 | 14 | 42.4 | 31 | 93.9 | 33 | 100 | 33 | 100 | 33 | 100 | 33 | 100 | 54 | 85.7 | |
| Yes | 29 | 87.9 | 4 | 12.1 | 10 | 30.3 | 0 | 0 | 19 | 57.6 | 2 | 6.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 14.3 | |
| No | 15 | 22.1 | 52 | 76.5 | 54 | 79.4 | 67 | 98.5 | 35 | 51.5 | 65 | 95.6 | 67 | 98.5 | 68 | 100 | 68 | 100 | 68 | 100 | 56 | 82.4 | |
| Yes | 53 | 77.9 | 16 | 23.5 | 14 | 20.6 | 1 | 1.5 | 33 | 48.5 | 3 | 4.4 | 1 | 1.5 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 17.6 | |
| No | 47 | 40.2 | 89 | 76.1 | 74 | 63.2 | 105 | 89.7 | 77 | 65.8 | 115 | 98.3 | 116 | 99.1 | 116 | 99.1 | 116 | 99.1 | 115 | 98.3 | 105 | 89.7 | |
| Yes | 70 | 59.8 | 28 | 23.9 | 43 | 36.8 | 12 | 10.3 | 40 | 34.2 | 2 | 1.7 | 1 | 0.9 | 1 | 0.9 | 1 | 0.9 | 2 | 1.7 | 12 | 10.3 | |
Summary of means for number of drugs by year.
| Year | N | Minimum | Maximum | Mean | Std. Deviation |
|---|---|---|---|---|---|
| 2014 | 63 | 1 | 4 | 2.0476 | 0.81178 |
| 2015 | 63 | 1 | 4 | 1.873 | 0.81304 |
| 2016 | 33 | 1 | 4 | 2.0303 | 1.07485 |
| 2017 | 68 | 1 | 4 | 1.9559 | 0.87133 |
| 2018 | 117 | 1 | 5 | 1.812 | 0.87031 |
Drug use by gender.
| Gender | Used | Morphine | Amphetamine | Methamphetamine | Spice | Benzodiazepines | Tramadol | Cocaine | Heroin | Alcohol | Fentanyl | Cannabis | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 2 | 22.2 | 7 | 77.8 | 4 | 44.4 | 9 | 100 | 3 | 33.3 | 9 | 100 | 9 | 100 | 9 | 100 | 9 | 100 | 9 | 100 | 7 | 77.8 | |
| Yes | 7 | 77.8 | 2 | 22.2 | 5 | 55.6 | 0 | 0 | 6 | 66.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 22.2 | |
| No | 67 | 20 | 257 | 76.7 | 260 | 77.6 | 322 | 96.1 | 193 | 57.6 | 327 | 97.6 | 333 | 99.4 | 334 | 99.7 | 334 | 99.7 | 333 | 99.4 | 288 | 86 | |
| Yes | 268 | 80 | 78 | 23.3 | 75 | 22.4 | 13 | 3.9 | 142 | 42.4 | 8 | 2.4 | 2 | 0.6 | 1 | 0.3 | 1 | 0.3 | 2 | 0.6 | 47 | 14 | |
Note: f = frequency; % = percentage.
Results of chi-square test and descriptive statistics for drug use and location: Morphine.
| Location | Use | ||
|---|---|---|---|
| No | Yes | ||
| Ahmadi | 14 (23.7%) | 45 (76.3%) | |
| Farwaniyah | 5 (8.5%) | 54 (91.5%) | |
| Hawally | 20 (18.5%) | 88 (81.5%) | |
| Jahra | 15 (41.7%) | 21 (58.3%) | |
| Kuwait City | 7 (16.3%) | 36 (83.7%) | |
| Mubarak Al Kabeer | 8 (20.5%) | 31 (79.5%) | |
Note. χ2 = 16.464, df = 5; Numbers in parentheses indicate column percentages.
Results of chi-square test and descriptive statistics for drug use and location: Methamphetamine.
| Location | Use | ||
|---|---|---|---|
| No | Yes | ||
| Ahmadi | 48 (81.4%) | 11 (18.6%) | |
| Farwaniyah | 39 (66.1%) | 20 (33.9%) | |
| Hawally | 88 (81.5%) | 20 (18.5%) | |
| Jahra | 21 (58.3%) | 15 (41.7%) | |
| Kuwait City | 36 (83.7%) | 7 (16.3%) | |
| Mubarak Al Kabeer | 32 (82.1%) | 7 (17.9%) | |
Note. χ2 = 14.431, df = 5; Numbers in parentheses indicate column percentages.