a Alcohol Treatment Centre, Lausanne University Hospital CHUV, Switzerland
b Institute of Social and Preventive Medicine, University of Zurich, Switzerland
c Swiss Institute for the Prevention of Alcohol and Drug Problems, Lausanne, Switzerland
d Centre for Addiction and Mental Health, Toronto, Ontario, Canada
e University of the West of England, Frenchay Campus, Bristol, United Kingdom
QUESTIONS UNDER STUDY / PRINCIPLES: The main aim of this study was to investigate profiles of drug users, with a particular focus on illicit drugs other than cannabis, and to explore the effect of early-onset intensive use (drunkenness, daily smoking, high on cannabis) on profiles of illicit drug use.
METHODS: Baseline data from a representative sample of 5,831 young Swiss men in the ongoing Cohort Study on Substance Use Risk Factors were used. Substance use (alcohol, tobacco, cannabis and 15 types of other illicit drug) and age of onset of intensive use were assessed. The Item Response Theory (IRT) and prevalence rates at different ages of onset were used to reveal different profiles of illicit drug use.
RESULTS: In addition to cannabis, there were two profiles of other illicit drug use: (a) “softer” drug users (uppers, hallucinogens and inhaled drugs), among which ecstasy had the highest discriminatory potential (IRT slope = 4.68, standard error (SE) = 0.48; p <0.001); and (b) “harder” drug users (heroin, ketamine, gamma-hydroxybutyrate/gamma-hydroxylactone, research chemicals, crystal meth and spice), among which ketamine had the highest discriminatory potential (slope = 4.05; SE = 0.63; p <0.001). Onset of intensive use at the age of 12 years or younger also discriminated between these two profiles.
CONCLUSION: Both the IRT model and the effect of onset of intensive use enabled two groups of illicit drugs to be identified. In particular, very early onset (at 12 years or younger) intensive use of any substance was a marker for later use of the second group of drugs.
Keywords: drug use; early onset; intensive use; profiles of drug users
The stages of involvement in drug use are commonly agreed upon [1–5]. The sequence goes from the use of licit drugs (alcohol and tobacco) to cannabis use, and then the use of other illicit drugs [6–13]. However, although there are many studies on the pathway from licit drug use to cannabis use, and finally to other illicit drugs, there is not much detailed information about the potential stages of the use of illicit drugs other than cannabis. Researchers mostly refer to “hard drug use” [1, 14, 15] and aggregate all illicit drugs apart from cannabis into a single class , without providing any information on their potential sequential use. Occasionally, studies have reported that heroin use is the final stage of the sequence [8, 16, 17]. The use of cocaine, gamma-hydroxybutyrate/gamma-hydroxylactone (GHB/GBL) and ketamine is more common among people with extensive drug histories and seems to occur late in the sequence of illicit drug use . The most common order appears to be cannabis, pills, cocaine and then heroin , but this order is sometimes described as unstable [19, 20]. The present study provides insight into the profiles of the users of illicit drugs other than cannabis. With a large sample size, differences between 15 types of illicit drug besides cannabis were analysed.
The literature also shows that early use of cannabis or alcohol is an important predictor of drug-use trajectories [7, 21–24]. Early alcohol, tobacco and cannabis use are three of the most relevant factors influencing use of other illicit drugs . Studies have tended to look at early-onset use generally, rather than at whether intensive early-onset use (of alcohol, tobacco or cannabis) is associated with later use of illicit drugs other than cannabis. However, early drunkenness poses a greater risk of behavioural problems among adolescents than simple early onset of alcohol use .
The present study had two objectives. The principal aim was to identify the profiles of users of the most common drugs. We use “profiles of drug users” instead of “stages of drug use” because of the cross-sectional design of the study. However, even cross-sectional studies enable examination of sequential phenomenon . The gateway theory has been studied from two perspectives: temporal sequences of drug use , and the strength of the association between drugs [25, 27, 28] as used in this study. The study also explored the effect of intensive early-onset use of alcohol, tobacco and cannabis on the likelihood of initiating other illicit drug use, that is, the effect of the first experience of being drunk or of being high on cannabis. We also investigated the age of onset of intensive tobacco use (i.e. daily smoking); smoking is less frequently described as a gateway drug, but this study aimed to provide further information on its effect. An additional aim was to provide data on the prevalence of drug use among young Swiss men; indeed, data on drug use are scarce in Switzerland, where no detailed information comparable to that provided by studies in various other European coutries is available (see for example the European Monitoring Centre for Drugs and Drug Addiction [EMCDDA] studies in the European Union, e.g. http://www.emcdda.europa.eu).
|Table 1: Participants’ characteristics.|
|Age (years) mean (standard deviation)||20.0 (1.24)|
|Living with a partner||4.4%|
|Primary (9 years)||48.2%|
|Secondary (12 years)||26.2%|
|Tertiary and higher (>13 years)||25.6%|
The data used in this study were derived from the Cohort Study on Substance Use Risk Factors (C-SURF), a longitudinal study designed to assess substance use patterns and related consequences in young Swiss men. The protocol (Protocol No. 15/07) was approved by the Ethics Committee for Clinical Research of Lausanne University Medical School. Participants were selected at three of six army recruitment centres, in Lausanne (French-speaking) and Windisch and Mels (German-speaking), between August 23, 2010 and November 15, 2011. These three centres cover 21 of the 26 cantons in Switzerland, including all French-speaking cantons. The recruitment centres cover the smaller inner Cantons of Switzerland in the rural region of the Alps, but also large Swiss cities (Basel for the German-speaking region, Geneva and Lausanne for the Francophone region and Bern for the bilingual area). The German-speaking centres were suggested by the army administration because they were the biggest centres with the highest number of people going through the recruitment process. We avoided the Ceneri (the centre for Italophone men), mainly for organisational reasons and to avoid running a study in three different languages (Italophones represent less than 5% of the Swiss population). Thus, the study is largely representative of all Swiss men, although the upper North of Switzerland and particularly the Zurich region was not represented. Army recruitment is mandatory in Switzerland; therefore, all young men around 20 years old were eligible for study inclusion. Briefly, of the 13,245 conscripts informed about the study, 7,563 (57.1%) gave written consent to participate and 5,990 (79.2%) of these filled out the baseline questionnaire. More details about sampling and nonresponse are provided in Studer et al. . Briefly, nonrespondents were more likely to be substance users and used substances more frequently. In general, however, differences between respondents and nonrespondents were small and probably only significant because of the large sample size. Missing values among participants were listwise deleted, so the study ultimately included 5,831 participants (97.4% of the sample).
Illicit drug use
Fifteen questions measured lifetime use of illicit drugs; answers were coded as “used” or “nonused”. The substances were as follows: (1.) hallucinogens, magic mushrooms, psylocibin, peyote, mescalin; (2.) other hallucinogens (lysergide [LSD], phencyclidine [PCP, Angel Dust], 4-bromo-2,5-dimethoxyphenethylamine [2C-B], 2,5-dimethoxy-4-iodophenethylamine [2C-I]); (3.) Salvia divinorum; (4.) speed; (5.) amphetamine, metamphetamine, amphetaminsulfate (e.g. Dexedrine, Benzedrine); (6.) crystal meth (ice); (7.) poppers (amylnitrite, butylnitrite); (8.) solvent sniffing (e.g. glue, solvent and gases such as benzine, ether, toluol, trichloroethylene, nitrous oxide); (9.) ecstasy, 3,4-methylenedioxy-N-methylamphetamine (MDMA); (10.) cocaine, crack, freebase; (11.) heroin; (12.) ketamine (Special K), dextromethorphan (DXM); (13.) GHB / GBL / I-4 Butandiol (BDB); (14.) research chemicals (e.g. mephedrone, butylone and methedrone); and (15.) spices or similar substances. Use of these drugs over the previous 12 months was also assessed.
Cannabis use was assessed by asking participants if they had ever smoked cannabis (hashish, marijuana or grass) before; the study will refer to cannabis, the most common term, but the principal psychoactive constituent of cannabis is delta-9-tetrahydrocannabinol (THC). Answers were coded as “used” or “nonused”. They were also asked at what age they had got high on cannabis for the first time. Lifetime use was assessed instead of previous 12-month use, because the aim was to analyse the effects of early onset of cannabis use on stages of other lifetime drug use, and not only current consumption. The relevant age of onset of intensive use (first time high) was selected as follows: “age 12 years or earlier”, “age 13 to 15 years”, “age 16 to 18 years”, “age 19 years or older” and “never” (noncannabis users and participants who had never got high with cannabis). Previous studies reported that those who first used cannabis before the age of 12 were twice as likely to have severe mental illness (SMI) as those who first used cannabis at the age of 18 or older (, see p. 69 for SMI definition). Early cannabis use (before the age of 16) predicted later dependence , and cannabis use at the age of 18 or younger predicted impairment and irreversible harm . These categories were selected to test the effect of early intensive use rather than early initiation.
Participants were asked if they had ever smoked. They were recorded as users if they had smoked at least 50 cigarettes, or 10 water pipes, or 25 cigars or cigarillos, or 25 pipes. Twelve-month use was similarly assessed. Age of onset of intensive use was assessed using the age at which participants started to smoke daily. The same age categories as those for cannabis were used.
Alcohol use was assessed by asking participants if they had had a total of at least 12 drinks of any kind of alcohol in their entire life. Answers were coded as “used” or “nonused”, and 12-month use was also assessed. Participants were asked how old they were when they got drunk for the first time. The same age categories as those described above were used.
The item-response theory (IRT) was used to define profiles of drug users. The IRT is a latent trait theory, which supposes that an item is a function of an unobservable or latent trait. It assumes that each item does not have the same level of severity, unlike Likert scaling, which assumes that the different items are equivalent. The IRT orders the items according to their severity level across the underlying trait . Different IRT models can be used. We selected the two-parameter logistic model [34, 35] after checking the unidimensionality of the construct (a prerequisite for IRT) with an exploratory factorial analysis for ordinal data (WLSMV: weighted least squares means and variance adjusted estimation). This model defines the relationship between the observed data and an underlying latent construct with two parameters: a severity parameter (threshold) and a discrimination parameter (slope). The severity parameter reveals whether each criterion (each drug in the current study) is endorsed less frequently, for example, is more “severely” reported. This parameter is the point of the latent construct where there is 50% endorsement. The discrimination parameter is represented by the steepness of the slope and shows the ability of a criterion to discriminate between participants who are low or high on the latent construct. These two parameters were plotted graphically on a “criterion information curve.”
Proportion tests (z-tests) were used to explore the effect of the age of onset of intensive use of alcohol, tobacco or cannabis on illicit drug use. Comparisons were made between the proportions of users of each drug who initiated intensive use at 16 to 18 years of age and those who initiated at 13 to 15 years of age. The 13 to 15 onset group was similarly compared with the adjacent 12 years or younger onset group. We also ran logistic regression models separately with each illicit drug as the outcome and onset of intensive use as exposure, while controlling for the actual age of respondents. However, as age at conscription was very homogeneous, we did not report these models separately. Differences between models adjusted for age and models without adjustment were negligible as expected, and did not result in any different findings.
|Table 2: Lifetime use and use in the previous 12 months.|
|Percentage users (n = 5,831)|
|Lifetime||Previous 12 months|
|Total (at least one drug used)||95.8 (n = 5,586)||94.2 (n = 5,493)|
|Hallucinogens / magic mushrooms||5.7||2.8|
|GBH = gamma-hydroxybutyrate; GBL = gamma-hydroxylactone|
|Table 3: Intensive use onset: percentage of participants by age categories.|
|Nonusers / No intensive onset||≥19 years||16–18 years||13–15 years||≤12 years|
|High on cannabis||59.9||2.2||22.2||14.0||1.7|
Prevalence of substance use
The participants’ characteristics are described in table 1. The prevalence rates of substance use are given in table 2. Only 4.2% of participants did not use any drugs, and the most prevalent drugs were licit drugs. Alcohol was the most prevalent (95.8% for lifetime use), followed by tobacco (94.8%), then cannabis (47.6%), and finally the other illicit drugs. Hallucinogens (magic mushrooms 5.7%, other hallucinogens 4.2%, Salvia divinorum 5.2%), uppers (speed 4.7%, ecstasy 5.7%, cocaine 5.5%, amphetamines/methamphetamines 3.4%) and inhaled drugs (poppers 5.2%, solvents, 4.8%) had a prevalence of approximately 4% to 5% (except for amphetamines and methamphetamines). The remaining illicit drugs (ketamine, heroin, GHB/GBL, research chemicals such as mephedrone or butylon, crystal meth and spice) had a lower prevalence of approximately 1%.
Table 3 illustrates the percentages of respondents broken down by age of first drunkenness, first daily smoking and first time being high on cannabis. Between 13 and 18 years of age, a total of 36.2% of participants had got high on cannabis, 28% had smoked daily, and 81.7% had got drunk for the first time. Late or early intensive use was less prevalent. Intensive alcohol use was more prevalent than intensive cannabis use, and intensive tobacco use was the least prevalent.
IRT model parameters and criterion information curves
The unidimensionality of the data was first checked with an exploratory factorial analysis. The first factor explained 71.04% of the variance. The IRT model parameters and associated criterion information curves for each drug are shown in table 4 and figure 1. Severity was lowest for alcohol, tobacco and cannabis, and greatest for spice, ketamine, GHB/GBL, crystal meth, research chemicals, heroin, solvent sniffing and poppers. The other drugs were intermediate in terms of severity. Discrimination was low for alcohol, tobacco, cannabis and inhaled drugs (poppers and solvents), and high for ecstasy and ketamine.
Comparison of drug users by age of onset of intensive use
The results of the proportion comparisons are summarised in tables 5, 6 and 7; figures 2, 3 and 4 give an overview of the prevalence rates for different ages of onset of intensive use. The higher the number of participants who got high on cannabis at an early age, the greater the increase in the proportion of users of each drug within the age classes of onset of intensive use of cannabis (table 5). For example, 33.7% of those who got high at the age of 12 or earlier also used cocaine, whereas only 20.7% of those who got high between 13 and 15 did so. The proportions began to increase at age 13 to 15 for most of the drugs (hallucinogens and uppers, as described in the previous section), but only at an onset of intensive cannabis use at 12 or earlier for ketamine, GHB/GBL, heroin, research chemicals, crystal meth and spice (fig. 2). There were no statistical differences in proportions between cannabis use onset at 16 to 18 compared with 13 to 15 for these drugs.
The patterns were quite similar for onset of intensive use of alcohol (table 6, fig. 3), with a commonly observed steep increase from 13 to 15 to 16 to 18 for first drunkenness. The effects were only significant as a tendency (p <0.10) for solvents (comparison of age 16–18 and 13–15), GHB/GBL and heroin (comparison of age 13–15 and 12 and younger). The differences between 13 to15 and 12 and younger for ketamine, research chemicals, crystal meth and spice were smaller for onset of intensive alcohol use than for onset of intensive cannabis use.
Finally, for the age of onset of intensive tobacco use, the results showed similar tendencies, except for solvents, for which proportions did not differ between the 16 to18 and 13 to 15 age groups (table 7). Salvia divinorum and poppers showed differences only at borderline significance levels (p <0.10) between 16 to 18 and 13 to 15. The patterns were a little less clear than for onset of intensive cannabis and alcohol use (see fig. 5), but the prevalence for very early onset of daily smoking was similar to that for cannabis onset and inferior to that for early alcohol onset.
|Table 4: Criterion response model parameters.|
|Severity =threshold||Discrimination = slope|
|Alcohol||–3.35 (0.06)***||0.59 (0.00)|
|Tobacco||–0.32 (0.02)***||1.39 (0.08)***|
|Cannabis||0.08 (0.02)***||1.41 (0.08)***|
|Hallucinogens / magic mushrooms||1.78 (0.05)***||1.93 (0.12)***|
|Ecstasy||1.59 (0.03)***||4.68 (0.48)***|
|Cocaine||1.68 (0.04)***||2.95 (0.22)***|
|Salvia divinorum||1.93 (0.05)***||1.62 (0.09)***|
|Poppers||2.22 (0.08)***||1.13 (0.07)***|
|Solvent sniffing||2.49 (0.11)***||0.94 (0.06)***|
|Speed||1.72 (0.04)***||3.38 (0.30)***|
|Other hallucinogens||1.76 (0.04)***||3.63 (0.36)***|
|Amphetamine/methamphetamine||1.85 (0.04)***||3.55 (0.35)***|
|Spice||2.46 (0.09)***||1.99 (0.20)***|
|Ketamine||2.23 (0.06)***||4.05 (0.63)***|
|GHB/GBL||2.36 (0.08)***||2.85 (0.34)***|
|Crystal meth||2.43 (0.09)***||2.52 (0.28)***|
|Research chemicals||2.42 (0.09)***||2.64 (0.38)***|
|Heroin||2.42 (0.08)***||2.86 (0.39)***|
|Standard errors are given in parentheses.
*** p <0.001;
GBH = gamma-hydroxybutyrate; GBL = gamma-hydroxylactone
|Table 5: Proportion of users of each drug within age categories of onset of intensive use of cannabis.|
|First cannabis high||z-tests|
n = 3,484
n = 129
n = 1,299
n = 819
n = 100
|16–18/ 13–15||13–15/ ≤12|
|Hallucinogens / magic mushrooms||0.009||0.047||0.071||0.207||0.337||–5.189***||–3.822***|
|Z-tests for difference in use proportions between age 16–18 and 13–15, and between 13–15 and 12 or younger. Example of proportions: 0.366 for ecstasy means that 36.6 of those respondents who started getting high on cannabis at age 12 or younger also used ecstasy at least once in their lives.
*** p <0.001, ** p0< .01, * p <0.05, # p <0.10
GBH = gamma-hydroxybutyrate; GBL = gamma-hydroxylactone
Principal findings and implications
The results of the IRT model were in accordance with the results of previous studies: the profiles of drug users went from licit drug users (first alcohol users, then alcohol and tobacco users), to cannabis users and then to users of harder illicit drugs. However, there was not one but two profiles for the other illicit drug users. Hallucinogens such as magic mushrooms, LSD and Salvia divinorum, uppers like speed, ecstasy, cocaine, amphetamines and methamphetamines, and inhaled drugs (known as recreational drugs) such as poppers or solvents constituted the first profile of other illicit drug users, with ecstasy having the strongest discriminatory potential. A second profile was formed for the other users of other “hard” drugs, like ketamine, heroin, GHB/GBL, research chemicals, crystal meth and spice. The results showed that use of these drugs was less prevalent among participants, and that their severity parameters were higher than for the earlier drugs in the IRT model. Thus, the profiles of drug users included a distinction between “soft” illicit drug users and “hard” illicit drug users. Interestingly, cocaine resembled a “soft drug”, despite commonly being regarded as a “hard drug” in terms of potential for dependence or harm. These results may indicate different stages of drug use, from middle-stage drugs to final-stage drugs, which come later, as the prevalence rates suggested. However, this result needs to be tested in a study of longitudinal design, or using data on self-reported onset for each drug .
The results of the proportion comparisons showed the importance of an early age of onset of intensive use of cannabis, tobacco and alcohol in predicting an increased risk of drug use. The earlier the age of onset of intensive use of these drugs, the greater the risk of going on to use other illicit drugs. A difference was identified between drugs in the “soft” drug users profile (hallucinogens: magic mushrooms, other hallucinogens, Salvia divinorum; uppers: ecstasy, cocaine, speed, amphetamines/methamphetamines; and inhaled drugs: poppers, solvents) and those in the “hard” drug users profile (ketamine, GHB/GBL, heroin, research chemicals, crystal meth and spice). The risk of using the “soft” drugs substantially increased when participants first got high with cannabis, smoked daily or were drunk at 13 to 15 years of age, while the risk of using the “hard” drugs started to increase when participants first got high with cannabis, smoked daily or were drunk at the age of 12 or younger. Therefore, onset of intensive use at an early age (15 or younger) particularly increased the risk of using “soft” drugs, whereas onset of intensive use at a very early age (12 or younger) particularly increased the risk of using “hard” drugs. We identified two groups of illicit drugs, one where the prevalence rate increased with an onset at age 15 or younger and one with an onset of 12 or younger, as we found these two groups of illicit drugs in the IRT model. This pattern was more evident for onset of intensive use of cannabis, and less clear for onset of intensive use of tobacco and alcohol. Cannabis seemed to be a more important precursor for other drug use (heroin, ketamine, GHB/GBL, crystal meth, research chemicals and spice) than these two other licit drugs. Similar conclusions regarding alcohol were also reached by Golub and Johnson  in the United States.
Daily smoking onset showed a less clear picture than cannabis. However, very early onset of daily smoking (at 12 years of age or younger) resulted in a high prevalence of drug use similar that of to cannabis, and a higher prevalence rate than alcohol use. Tobacco is described as a gateway drug less frequently than alcohol and cannabis [22–24], but it appears that very early onset of daily smoking may be as predictive for later illicit drug use as very early cannabis onset. Smoking nowadays is likely to be regarded as deviant behaviour or predictive of later deviant behaviours such as cannabis use, particularly at young ages [37, 38], whereas alcohol use is a more accepted norm [39, 40]. In general, however, very early onset of any of these three substances was associated with use of even the less common, “soft” drugs. This may mean that early onset of intensive use of any drug is an expression of a common general liability, a general syndrome of deviance or a problematic behavioural syndrome [41, 42], rather than an expression of a causal drug use sequence in terms of gateway drugs. However, any early intense substance use should be taken as a clear warning sign and marker of the need for early treatment and intervention.
The third aim of the study was to provide data on the prevalence rates of drug use in Switzerland. The results showed that cannabis was the most prevalent illicit drug, with 47.6% of this sample of young men being lifetime users. In the European Union, the lifetime prevalence rate of cannabis use is around 32% (2.9%‒45.5%) for ages 15 to 34 . However, men use cannabis more often than woman and the present sample was composed exclusively of men. Hallucinogens (magic mushrooms, other hallucinogens, Salvia divinorum) and uppers (ecstasy, cocaine, speed, amphetamines/methamphetamines) had a prevalence rate between 3.4% and 5.7%. The prevalence rate of amphetamines, ecstasy and cocaine was congruent with European results (5% [0.1–14.3], 5.5% [0.6–12.7] and 5.9% [0.1–13.6], respectively). Cocaine is the second most experimented-with drug after cannabis in the Europe Union (EMCDDA, 2011). Some other more uncommon drugs such as Salvia divinorum and spice, which often have a high media profile, still have a relatively low prevalence in Switzerland.
Strengths and limitations
The likelihood of drug use depends on several factors, including family structure, peer influence, availability, school factors, neighbourhood, social norms, personality and interactions between biological, psychological and social factors [44, 45]. In other words, the stages of drug use and the profiles of drug users depend on context and culture , as well as the frequency of use of each drug. For example, cocaine was easily available in Switzerland when the study took place and could be described as a “fashionable” drug. In contrast, heroin was less available and more expensive in 2011 than now (e.g. http://www.bag.admin.ch).
This investigation was the baseline study of C-SURF and had a cross-sectional design. The order of drug use was inferred on the basis of analyses that reflected hierarchical use and the effect of early intensive use of cannabis or alcohol. The profiles were inferred mainly from use prevalence because age of onset was not recorded for all drugs. To extend this result from profiles (cross-sectional perspective) to stages (longitudinal perspective), longitudinal designs are needed in order to verify the hypothesis of an escalation from “soft” illicit drugs to “hard” illicit drugs. C-SURF is a longitudinal study, and follow-up studies will aim to answer this question. However, cross-sectional data give reliable results, for example with multistate models [25, 47], but age reports are needed (age of onset of each drug).
Another limitation was that the profiles of drug users identified may be “typical,” being valid for most of the “occasional” or “experimental” drug users  (90%–95% of users) . Indeed, the prevalence rates were quite low for illicit drugs other than cannabis. However, these profiles are not universal  and may differ among serious drug users who can have an “atypical” profile. For example, serious drug users are more likely to use other illicit drugs before cannabis , and alcohol is not a prerequisite for cannabis use among them . This population needs a particular focus. It is also important to explore the effect of light and heavy use of a drug (experimentation, regular use, abuse), whereas this study focused on the progression between different drugs. Another shortcoming is that no women could be included. The study is largely representative of men, although it did not include the Italian-speaking canton (Ticino), nor the upper northern region of Switzerland (including Zurich). However, Italophones represent less than 5% of the Swiss population and are similar to Francophones in most patterns of use, so we do not expect our findings to be biased. Not including the Zurich area, which includes the largest city in Switzerland, may have led to the underestimation of some multisubstance use patterns and trajectories. However, the study included four of the five biggest cities in Switzerland and therefore, the omission of the Zurich area may have only marginally affected the findings of the study.
|Table 6: Proportion of drug users within age categories for onset of intensive use of alcohol.|
n = 736
n = 135
n = 2,508
n = 2,256
n = 196
|16–18/ 13–15||13–15/ ≤12|
|Hallucinogens / magic mushrooms||0.005||0.000||0.027||0.092||0.271||–3.590***||–6.179***|
|Z-tests for difference in use proportions between the ages of 16–18 and 13–15, and between 13–15 and 12 or younger. Example of proportions: 0.091for cocaine means that 9.1% of respondents who started getting drunk at age 13–15 also used cocaine at least once in their lives.
*** p <0.001, ** p <0.01, * p <0.05, # p <0.10
GBH = gamma-hydroxybutyrate; GBL = gamma-hydroxylactone
|Table 7: Proportion of drug users within age categories for onset of intensive use of tobacco.|
|First daily smoking||z-tests|
n = 3,991
n = 166
n = 1,165
n = 466
n = 43
|16–18/ 13–15||13–15/ ≤12|
|Hallucinogens / magic mushrooms||0.017||0.121||0.117||0.189||0.386||–2.602**||–5.772***|
|Z-tests for difference in use proportions between the ages of 16–18 and 13–15, and between 13–15 and 12 or younger. Example of proportions: 0.121 for poppers means that 12.1% of those respondents who started daily smoking at age 13–15 also used poppers at least once in their lives.
*** p <0.001, ** p <0.01, * p <0.05, # p <0.10
GBH = gamma-hydroxybutyrate; GBL = gamma-hydroxylactone
This study provides insight into the profiles of drug users, particularly regarding less common illicit drugs. The profiles differentiated between licit drug use (alcohol and then tobacco), cannabis, and other illicit drugs such as hallucinogens, uppers and inhaled drugs, and finally opiates, crystal meth and spice. These profiles provide information not identified in previous studies, and suggest that there was an order in the use of other illicit drugs, in which “soft” drugs (uppers, hallucinogens and inhaled drugs) precede “hard” drugs (opiates, crystal meth and spice). However, becaus of the cross-sectional study design, these results are preliminary and the findings will be confirmed as future data are gathered. These profiles were also seen in the early age of onset of intensive use of cannabis, tobacco and alcohol: the risk of using “hard” drugs increased for those who began intensive use of alcohol at a very early age, and this was particularly true for cannabis. These results also showed the ages at which interventions may be initiated to prevent drug use. In particular, selective approaches should be used to prevent early onset use of cannabis, tobacco and alcohol.
Funding / potential competing interests: No financial support and no other potential conflict of interest relevant to this article was reported.
Correspondence: Stephanie Baggio, Ph D, Alcohol Treatment Centre, Lausanne University Hospital CHUV, Av. Beaumont 21 bis, Pavillon 2, CH-1011 Lausanne, Switzerland, Stephanie.Baggio[at]chuv.ch
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