Fernando de la Mora where can I buy cocaine

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Fernando de la Mora where can I buy cocaine

Searches and seizures continue, and more and more important people are getting involved. Click here and receive news on your WhatsApp! Never in the history of the Paraguayan National Anti-Drug Secretariat Senad have there been so many good results in the fight against trafficking and money laundering as in recent days. In addition to the discovery of cocaine in the cargo of wooden floors in a container at the port of Villeta, Senad seized on Wednesday, the 23rd, almost 5 tons of marijuana that were likely destined for Argentina. The amount of cocaine inside the floors has not yet been verified, which should happen this Thursday. The drug was discovered after suspicions were raised by Senad on the 16th of this month, based on intelligence services. The container was retained and, on Wednesday, Customs confirmed the presence of cocaine. When weighed by Senad, on Thursday, it reached 16 tons. On Wednesday, the 23rd, the prosecutor's office indicted 24 people for trafficking and money laundering, of which eight are detained. The objective of the operation is to arrest six more members of the criminal organization. Luxury is a trademark of all the suspects. The organization dismantled by the operation is linked to the seizure of three cocaine shipments in Europe, in Paraguay itself and in Uruguay. In Europe, 1. In Paraguay, the organization was responsible for the 1. The minister confirmed the possession and said that he acquired the vessel from businessman Alberto Koube Ayala, one of those detained in the Senad operation. He also said that he made the purchase thanks to a loan he obtained from the Basa bank, owned by former president Horacio Cartes. The agents arrived at the drug after intelligence work. The marijuana was likely destined for Argentina, according to the IP news agency. Afterwards, the truck was intercepted, carrying 4. See more content from the author. Two more people die from Covid in Foz; victims were 86 and 88 years old. After a 50km chase, driver is arrested on BR with a stolen car. Taiwan thanks Paraguay for show of support. Paraguay promotes Operation Panthera Onca in the trinational region. Paraguay Public security. To get to the suspects of trafficking and money laundering, just follow the luxury. Photos: Senad. Support us! Follow us on Google News. To Share. Next Two more people die from Covid in Foz; victims were 86 and 88 years old. Public security.

Fernando de la Mora where can I buy cocaine

Introduction: Cocaine abuse represents a major public health concern. The social perception of cocaine has been changing over the decades, a phenomenon closely tied to its patterns of use and abuse. Twitter is a valuable tool to understand the status of drug use and abuse globally. However, no specific studies discussing cocaine have been conducted on this platform. Then, tweets related to cocaine were analyzed to examine their content, types of Twitter users, usage patterns, health effects, and personal experiences. Geolocation data was also considered to understand regional differences. Results: A total of 71, classifiable tweets were obtained. Among these, Media outlets had the highest number of tweets Regarding the experience related to consumption, there are more tweets with a negative sentiment. The 9. The continent with the highest number of tweets was America Discussion: The findings underscore the significance of cocaine as a current social and political issue, with a predominant focus on political and social denunciation in the majority of tweets. Notably, the study reveals a concentration of tweets from the United States and South American countries, reflecting the high prevalence of cocaine-related disorders and overdose cases in these regions. Alarmingly, the study highlights the trivialization of cocaine consumption on Twitter, accompanied by a misleading promotion of its health benefits, emphasizing the urgent need for targeted interventions and antidrug content on social media platforms. Finally, the unexpected advocacy for cocaine by healthcare professionals raises concerns about potential drug abuse within this demographic, warranting further investigation. Cocaine abuse represents a significant public health concern with relevant medical and socioeconomic consequences worldwide 1 , 2. According to their last World Drug Report, approximately Moreover, the escalating annual trend in cocaine consumption since underscores the increasing level of concern associated with its use. For instance, previous studies have linked increased cannabis consumption to a perception of low associated risks, influenced partly by varying legislation on medical cannabis use and exposure to related advertising 6 — 9. Cocaine was first isolated in the middle of the 19 th century and gained popularity in the early s However, due to its addictive properties, widespread abuse and related health issues it was banned in the United States in The public perception of cocaine underwent shifts, notably in the s leading to increased abuse Subsequently, in the s and early s, it became linked to crime, violence, and racial concerns, influencing public policies on its regulation An increasing body of research advocates for the use of social networks as a valuable tool in drug research. They facilitate the understanding and collection of data on social perception, misinformation, and pharmacovigilance 13 — Twitter is seen as a safe and non-judgmental platform for sharing honest experiences, including sensitive topics like drug use and abuse Previous studies have successfully utilized Twitter as a public health tool to analyze and study drug-related issues 17 — Artificial intelligence AI , enables the processing and analysis of vast amounts of data Within AI, Machine Learning ML has become a prominent field, focusing on extracting knowledge from data through computational models. A subset of ML known as Deep Learning DL employs neural networks inspired by the human brain to process information These neural networks find applications in various domains related to substance use, enabling detection of abuse patterns 22 and related harms 23 , also allowing researchers to understand public perceptions and opinions of a drug 5 while exploring potential differences in these points across regions and countries Another essential application is Natural Language Processing NLP , which extensively utilizes neural networks to analyze text, facilitate conversations, and extract key ideas Most studies conducted on Twitter have focused on cannabis and opioids 5 , 18 , 26 , Currently, some preliminary results related to cocaine use have been obtained from different social media by the use of AI and ML 28 , 29 and previous works in Twitter analysis have considered cocaine use in the context of polysubstance use 30 , Given the existing gap in detailed studies on cocaine discussions on Twitter, we propose the following hypotheses: First, we hypothesize that through the use of AI and ML, it is possible to find geographical differences in the opinions and concerns expressed about cocaine that reflect unique regional dynamics and social attitudes. Second, we hypothesize that there are distinct considerations related to cocaine based on user profile. This correlation will influence the nature and tone of their contribution to the platform. By addressing these multifaceted aspects, this study aims to provide valuable insights into the complex dynamics of public discourse on cocaine in the digital sphere, providing a comprehensive understanding about the factors that form and differentiate views on this quality. This mixed-method, quantitative and qualitative analysis focused on the content of tweets related to cocaine posted on the social media platform Twitter. These criteria were chosen to ensure a comprehensive and representative sample of social media discussions on the topic. We employed Tweet Binder, a widely used tool in previous research 32 — 35 , to collect the tweets, providing essential information such as retweet and like counts, publication date, tweet context link, user description, and geolocation. The number of retweets and likes served as indicators of user engagement and interest in the tweeted content 36 , Using the previously mentioned search criteria, we collected 57, tweets in Spanish and 54, tweets in English. Next, with the remaining tweets, the content was analyzed using a mixed inductive-deductive approach to develop a codebook for classifying the tweets into key thematic categories. We created a codebook based on our research questions, our previous experience in analyzing tweets, and what we determined to be the most common themes. After discussing discrepancies and reaching a consensus on the codebook, an additional tweets were analyzed. This process also provided a larger sample for training the Machine Learning model. The tweets were classified as classifiable or non-classifiable. A tweet was considered non-classifiable if it was written in a way that made its meaning uncertain, too brief to contain relevant information, if its content was purely political, if the information was not relevant to the objectives of this study, or if it was a joke. In each of the classifiable tweets, the content was analyzed according to the following themes: 1 Tweet topic; 2 Evaluation of the effect; 3 Sentiment regarding consumption; 4 Type of consumption. Finally, the users were classified into four categories: 1 General Twitter users; 2 Media outlets; 3 Public figures; and 4 Healthcare professionals. The classification criteria and examples of tweets are shown in Table 1. The methodology followed in this project has been validated in prior research studies 38 , First, a preprocessing of the database should be executed. This preprocessing involves a translation of the non-English tweets to English using Google Translator and a normalization of the tweets by removing special characters, splitting negative contractions, and removing repetitions. The training subset was used to fine-tune the network, while the testing subset was used to validate its performance. Additionally, to address some imbalanced categories where certain options had a higher number of tweets compared to others , text augmentation was performed using the library called textattack Furthermore, emotion analysis was conducted using a pretrained neural network called emotion-english-distilroberta-base The emotion analysis was applied to the 71, tweets categorized as classifiable. The results were presented in tables or figures, showing the percentage of tweets or the median of likes and retweets in each category. To evaluate the relationships between tweet content, user type, and other tweet characteristics with the number of likes and retweets, linear regression models were employed. The individual beta coefficients were adjusted for the remaining tweet characteristics. Choropleth maps were generated as a visualization tool to depict the global distribution of tweets. Additionally, these maps were used to illustrate the geographic distribution of tweets expressing support for the legislation and exhibiting a sentiment favorable to cocaine. The study involved analyzing the frequency distribution of tweets across various categories based on tweet characteristics. According to the codebook, a total of 71, classifiable tweets were obtained. Of the total number of users that could be defined, media outlets had the highest number of tweets, with 25, tweets The most frequent theme is social or political claims, with 48, tweets published, accounting for The least frequent theme is trivialization, but it has a higher number of likes and retweets. Regarding the experience related to consumption, there are more tweets with a negative sentiment compared to a positive sentiment. Approximately Regarding the discourse on cocaine consumption, 9. Table 2 Descriptive characteristics of the tweets are considered classifiable in the content analysis. In terms of emotional expression, the most frequent response from Twitter users is to remain neutral in the majority of their posts, as depicted in Figure 1. Figure 1 Sentiment analysis the emotional tone expressed in text. The continent with the highest number of tweets is America, with 39, tweets published, accounting for Among the top 5 countries with the highest number of tweets, the first four are from this continent, in descending order: United States, Colombia, Venezuela, and Argentina, representing Figure 2 Distribution of the number of tweets worldwide. The area with the highest number of tweets about cocaine is represented with a darker blue color, and the color tone decreases as the number of tweets decreases. Regarding the evaluation of the effects, Europe has the highest percentage of tweets discussing the harm caused by cocaine, at Additionally, Asia has the highest proportion of tweets expressing negative sentiment related to consumption, with Lastly, Africa exhibits the highest content about frequent cocaine use, comprising Nonetheless, healthcare professionals indicate it as a detriment to health in Additionally, healthcare professionals exhibit the highest percentage Finally, regarding the type of consumption, a notably high percentage If we relate the evaluation of the effect by Twitter users with those who talk about consumption, it has been observed that Regarding individual experiences with the substance, it has been found that almost half However, only In the present work, we have collected and classified 71, tweets discussing cocaine according to the content of the message, geolocation, type of user, and consumption frequency reported. The results obtained in this article go hand in hand with previous results reported in the Twittersphere in which this type of detail has been studied in other drugs such as opioids or cannabis 30 , 44 , 45 ; however, as far as we know this article is the first to deeply explore this type of data about cocaine on this platform. The majority of analyzed tweets Media sources accounted for These findings highlight evidence cocaine consumption is a significant current social and political issue, particularly in the United States and South American countries. The United States has experienced the highest number of cocaine-related disorders and overdose mortality cases globally 46 — Given these statistics, it is understandable that many tweets from the United States focus on denouncing cocaine abuse from a political and social perspective, emphasizing the need for inclusive public policy reforms In the case of South American countries, a broad number of tweets were identified from Colombia, Venezuela, and Argentina. Colombia in particular has a long history of cocaine trade and continues to be involved in its production and cultivation Twitter and scientific articles discuss the complex sociopolitical context of cocaine crops in this country, analyzing the problem comprehensively 50 , Tweets from Europe and Africa primarily focused on the detrimental health effects of cocaine and the frequent consumption of this drug. In the European Union, Among adults aged 15 to 64, 3. Cocaine ranked as the second most problematic drug for first-time treatment seekers and the second most commonly reported substance for acute toxicity by Euro-DEN Plus hospitals in In the same manner, various studies conducted in different European countries have found an increase in cocaine consumption and cocaine-related deaths, also highlighting the multiple health complications related such as psychiatric and psychotic disorders, neurological maladies and cardiovascular diseases 53 — Thus, our results seem to support that Twitter is seen as a valuable tool to raise awareness about the real problem of cocaine in Europe and its overall negative effects on health. On the other hand, fewer studies are available in the literature regarding cocaine use in Africa. However, different platforms like the Africa Organized Crime Index 56 have evidenced the problem of cocaine trade and abuse in some countries like Guinea-Bissau, Cabo Verde or Guinea, as well as in South Africa or the sub-Saharan countries 57 , Therefore, Twitter can be used as a platform to denounce the habitual consumption of cocaine in this region and the detrimental health effects derived in this region. However, additional efforts in this platform are warranted, particularly in light of our results. Despite the trivialization of cocaine consumption being the less discussed topic on Twitter, it accumulated almost double the interactions with other Twitter users likes and 37 retweets versus 64 likes and 35 retweets , as well as those reporting positive versus negative effects. In addition, when considering the type of cocaine consumption on Twitter, frequent consumption was more common than occasional use 9. Previous research has indicated that drugs are often discussed positively on social media platforms like Twitter, and the lack of antidrug content may contribute to the normalization and justification of drug use, highlighting the importance of addressing this issue Furthermore, the dissemination of trivialization may contribute to an increase in hospitalizations due to cocaine consumption, even in the pediatric population In agreement with previous works 62 , 63 , our results support the notion that social media like Twitter can serve as valuable resources for understanding drug patterns, prevailing attitudes, monitoring and intervening in drug abuse and addiction problems. We found a small proportion of tweets promoting the supposed health benefits of cocaine use, which received significant engagement. This is an important issue to address, as there are no safe ways to consume cocaine. Misconceptions regarding the health benefits of cocaine may stem from historical events and practices, such as its traditional use in South America for over 5, years as a stimulant in the form of teas or by chewing the leaves of the Erythroxylon coca plant Additionally, influential figures like Sigmund Freud, as well as the incorporation of cocaine in beverages like Coca-Cola and coca wine during the late 19th and early 20th centuries, contributed to its popularity As previously mentioned, despite being banned in the USA in , during the s, cocaine regained a positive image, fueled by perceptions of glamour and media influence. Even the Ford White House in released a white paper stating that cocaine was not physically addictive and generally did not have serious consequences Conversely, cocaine use leads to a wide range of harmful effects including tachycardia, hypertension, acute coronary syndrome, stroke, and even death Mixing cocaine with substances like sugar, talc, and cornstarch exacerbates these adverse effects Previous Twitter analyses have shown that polysubstance use involving cocaine and other drugs is a common topic in discussions about overdose and drug-related concerns 18 , 30 , 31 , Although our study did not focus on polydrug use, it is important to consider these findings, as the low perception of risks associated with cocaine use obtained in our study may even be more concerning in such contexts. Furthermore, long-term consumption of cocaine is associated with significant brain changes in the dopaminergic reward system, resulting in addiction, persistent cravings and a high risk of relapse, even with treatment Cocaine use disorder CUD represents a serious global health concern, and while psychosocial and pharmacological interventions can assist in the medical management of this condition, the efficacy is limited and ineffective for most patients Moreover, despite some specific clinical cases in the 20 th century, the risks of cocaine use outweigh any potential benefits, and there are safer alternatives for various purposes attributed to this substance Therefore, it is crucial to address and intervene in the content on Twitter that trivializes or supports the alleged health benefits of cocaine use. Intriguingly, our study shows that healthcare professionals on Twitter were among the strongest advocates for the health benefits, frequent use and positive experiences related to cocaine This could be relevant considering previous studies that have identified drug abuse among healthcare professionals as a concern 73 , especially when considering certain risk factors such as certain medical specialties, psychopathological or social factors, positive attitudes toward drugs, unhealthy lifestyle habits and so on Although we could not explore all contributing factors, further investigation is needed to understand the relationship between drug abuse and healthcare professionals on social media platforms like Twitter, as our findings imply that they may use it to share personal experiences and concerns related to drug use and abuse. Finally, we also observed a notable proportion of tweets 8. This is not a novel issue as previous works have also identified social media like Twitter as a conduit for the sale and supply of illicit drugs like opioids 74 , We encourage the regulation of this type of illegal cocaine sale, proposing the inclusion and use of possible programs implicated in the detection, classification and reporting of illicit online sale tweets, as promoted in previous works This research has some notable limitations. Second, just like practically all qualitative investigations, the construction of the codebook and the analysis of the tweets involve certain subjectivity. Similarly, it is also possible that bots or fake accounts have to some extent affected our data. Finally, the inclusion of tweets with 10 or more retweets could also be a limitation of the study, as it might have overlooked relevant tweets for this article. The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. 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. 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. Burden of disease due to amphetamines, cannabis, cocaine, and opioid use disorders in South America, a systematic analysis of the Global Burden of Disease Study Lancet Psychiatry. The burden of mental disorders attributable by cocaine use: Global Burden of Diseases Study in Brazil, and Rev Soc Bras Med Trop. United Nations: Office on Drugs and Crime. World drug report Google Scholar. JRSM Open. 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Psychiatry , 19 March Insights from the Twittersphere: a cross-sectional study of public perceptions, usage patterns, and geographical differences of tweets discussing cocaine. Table 1 Category, definitions and examples of classification. Table 3 Number of tweets by continent and category of the codebook. Table 4 Number of tweets by user type and category of the codebook. Table 5 Number of tweets by consumption type and category of the codebook.

Fernando de la Mora where can I buy cocaine